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TikToks lead privacy regulator in Europe takes heat from MEPs – TechCrunch

Image Credits: Chukrut Budrul/SOPA Images/LightRocket / Getty Images

MEPs in the European Parliament had the opportunity of a rare in-person appearance by Irelands data protection commissioner, Helen Dixon, to criticize the blocs lead privacy regulator for most of Big Tech over how long its taking to investigate the video-sharing social media platform TikTok.

This concern is the latest expression of wider worries about enforcement of the General Data Protection Regulation (GDPR) not keeping pace with usage of major digital platforms.

The Irish Data Protection Commission (DPC) opened two inquiries into aspects of TikToks business back in September 2021: One focused on its handling of childrens data, and another looked at data transfers to China, where the platforms parent company is based. Neither has yet concluded. Although the kids data inquiry looks relatively advanced along the GDPR enforcement rail at this stage with Ireland having submitted it to other EU regulators for review in September last year.

Per Dixon, a final decision on the TikTok kids data case should arrive later this year.

The U.K.s data protection watchdog which now operates outside the EU has taken some enforcement action in this area already, putting out a provisional finding that TikTok misused childrens data last fall. The ICO went on to issue its final decision on the investigation last month, when it levied a fine of around $15.7 million. (Albeit, its worth noting it shrunk the size of the fine imposed and narrowed the scope of the final decision, dropping a provisional finding that TikTok had unlawfully used special category data blaming resource limitations for downgrading the scope of its investigation.)

In remarks to the European Parliaments civil liberties committee (LIBE) today, which had invited Irelands data protection commissioner to talk about TikTok specifically, Dixon signaled an expectation that a decision on the TikTok childrens data probe would be coming this year, making a reference to the company as she told MEPs: 2023 is going to be an even bigger year for GDPR enforcement on foot of DPC large scale investigations.

Other large-scale cases she suggested will result in decisions being handed down this year include a very long-running probe of (TechCrunchs parent company) Yahoo (ne Oath), which was opened by the DPC back in August 2019 and which she noted is also currently at the Article 60 stage.

She added that there are many further large scale inquiries travelling closely behind without offering any detail on which cases she was referring to.

Plenty of Big Tech investigations remain undecided by Ireland not least major probes into Googles adtech (opened May 2019) and location tracking (February 2020), to name two. (The former of which has led to the DPC being sued for inaction.) Neither case merited a name-check by Dixon today so presumably and luckily for Google arent on the slate for completion this year.

Ireland holds an outsized enforcement role for the GDPR on Big Tech owing to how many multinational tech firms choose to locate their regional headquarters in the country (which also offers a corporate tax rate that undercuts those applied by many other EU member states). Hence why parliamentarians were so keen to hear from Dixon and get her response to concerns that enforcement of the regulation isnt holding platform giants to account in any kind of effective timeframe.

One thing was clear from todays performance: Irelands data protection commissioner did not come to appease her critics. Instead Dixon directed a large chunk of the time allocated to her for opening remarks to mount a robust defense of the DPCs busy GDPR enforcement, as she couched it rejecting attacks on its enforcement record by claiming, contrary to years of critical analysis (by rights groups such as noyb, BEUC and the Irish Council for Civil Liberties), that its legal analysis and infringement findings are generally accepted in all cases by fellow regulators who review its draft decisions.

Differences between the DPC and its fellow supervisory authorities [are] largely confined to marginal issues around the fringes, she also argued taking another swipe at what she couched as a narrative promulgated by some commentators that in many of the cross border cases in which high value fines were levied the DPC was forced to take tougher enforcement action by its fellow supervisory authorities across the EU that she claimed is inaccurate.

Back on the days topic of TikTok, she gave MEPs a status update on the data transfers decision revealing that a preliminary draft of the draft decision is now with the company to make its final submissions. The GDPRs procedural track means Ireland must submit its draft decision to other concerned data protection authorities for review (and the chance to raise objections). So there could still be considerable mileage before a final decision lands in this inquiry.

Dixon did not indicate how long it would take the TikTok data transfers inquiry to progress to the next step (aka Article 60), which fires up a cooperation mechanism baked into the GDPR that can itself add many more months to investigation timelines. But its worth noting the DPC is trailing a little behind its own recent expectation for the draft decision timeline back in November, it told TechCrunch it expected to send a draft decision to Article 60 in the first quarter of 2023.

Exports of European users data to so-called third countries (outside the bloc), which lack a high-level data adequacy agreement with the EU, have been under increased scrutiny since a landmark ruling by the Court of Justice back in July 2020. At that time, as well as striking down a flagship EU-U.S. data transfer deal, EU judges made it clear data protection authorities must scrutinize use of another mechanism, called Standard Contractual Clauses, for transfers to third countries on a case-by-case basis meaning no such data export could be assumed as safe.

And, just yesterday, a major GDPR data transfer decision did finally emerge out of Ireland possibly offering a taster of the sort of enforcement that could be coming down the pipe for TikToks data transfers in the EU with Facebook being found to have infringed requirements that Europeans information be protected to the same standard as under EU law when exported outside the bloc.

Facebooks parent company Meta was ordered to suspend unlawful data flows within six months and also issued with a record penalty of 1.2 billion for systematic breaches of the rulebook. The company has said it will appeal the decision and seek a stay on implementation of the suspension order.

Its anyones guess when such a decision might land for TikToks data transfers to China a location where digital surveillance concerns are certainly no less alive than they are for the U.S. but MEP Moritz Krner, of the Free Democratic Party, was one of several LIBE committee MEPs taking issue with the length of time its taking for the GDPR to be enforced against another data-mining, data transferring adtech giant.

Its good to hear today that you are in the final stage of your [TikTok] investigation but more than four years have gone by! he emphasized in questions to the Irish commissioner. And this is an app which millions of our citizens are using including children and young people So my question would be does data protection in Europe move quickly enough and what has happened over the past four years?

Pirate party MEP, Patrick Breyer, had even more pointed remarks for Dixon. He kicked off by calling out her refusal to meet the committee last year when she had reportedly objected to being asked to appear at a session alongside privacy campaigner, Max Schrems, who had a live legal action open against the DPC related to its procedures around his complaint about Metas data transfers which he suggested would have been the appropriate forum for her defense of the DPCs enforcement record, not a hearing on TikTok specifically. He then went on to hit out at the narrow scoping of the DPCs investigations into TikToks operations raising broader questions than the regulator is apparently inquiring into, such as the legality of TikToks tracking and profiling of users.

Hearing that what you are investigating in relation to TikTok is only childrens data and data transfers to China this addresses only a fraction of what is being criticized and debated about the service and this app, he argued. For one thing using TikTok comes with pervasive first party and third party tracking of our every action or every click based on forced consent, which is not necessary for using the service and for providing it. This pervasive tracking has been found to be both a risk to our privacy but also to national security in the case of certain officials. And do you consider this content freely given and valid?

Secondly, the app reportedly uses excessive permissions and device information collection, including hourly checking of our location, device mapping, external storage access, access to our contacts, third party apps data collection, none of which is necessary for the app to function. Will you act to protect us from these violations of our privacy? Breyer continued. If you remain as inactive as this, as you have been for years, you know this will continue to call into question your competence for [overseeing] the social media companies in Ireland and it will result in more outright bans [by governments on services like TikTok] which is not in the interest of industry either. So I call on you to expand your investigations and to speed them up and cover all these issues of pervasive tracking and excessive surveillance.

Another MEP, Karolin Braunsberger-Reinhold of the Christian Democratic Union, also touched on the issue of TikTok bans such as one imposed by the Indian government, back in 2020 but with apparently less concern about the prospect of a regional ban on the platform than Breyer since she wanted to know what the Dixon was considering beyond fines. Data protection is very important in the European Union so why are we allowing TikTok to send data back to China when we have no information on how that data is being dealt with once it goes back there? she wondered.

MEPs on the LIBE committee also queried Dixon about what had happened with a TikTok task force set up at the start of 2020, by the European Data Protection Board (EDPB), following earlier concerns raised about privacy and security issues linked to its data collection practices.

Such task forces are typically focused on harmonizing the application of the GDPR in cases where a data processor is not main established in an EU member state. But TikTok went on by December 2020 to be granted main establishment status in Ireland, which meant data protection investigations would now be funneled via Ireland as its lead authority for the GDPR. This revised oversight structure most likely led to a disbanding of the EDPB TikTok task force, since the GDPR contains an established mechanism for cooperation, although Dixon did not provide an obvious response to MEPs on this point.

The clear message from the LIBE committee to Ireland today, in its capacity as TikToks lead privacy regulator in the EU, boiled down a simple question: Where is the enforcement?

For her part, Dixon sought to dodge the latest flurry of critical barbs rejecting accusations (and insinuations) of inaction by arguing that the length of time the DPC is taking to work through the TikTok inquiries is necessary given how much material its examining.

She also sought to characterize cross-border GDPR enforcement as shared decision-making, as a result of the structure imposed through the regulations one-stop-shop mechanism looping concerned authorities into reviewing a lead authoritys draft decisions also referring to this process as decision making by committee. Her point there being that group decision-making inevitably takes longer.

I do want to assure you were working as quickly as we can, she told MEPs at one point during the session. We have well over 200 expert staff at the Irish Data Protection Commission. Were recruiting more. Were conscious of turning these decisions around We transmitted that draft decision last October to our concerned authorities. It will be almost a year later now before we have the final decision. That is the form of decision making by committee that the GDPR lays down and it does take time.

In the case of the TikTok data transfers probe, Dixon leaned on the requirement handed down by the CJEU that regulators examine legality on a case by case basis as justifying what she implied was a careful, fact-sifting approach.

The Court of Justice has obliged us to look at the specific circumstances and the factual backdrop of any specific set of of transfers before we can conclude and so while to some people the answers all seem obvious thats not the process in which we must engage. We must step, case by case, through on the specifics. And thats what we have done now and submitted a preliminary draft of our decision to TikTok for submissions, she argued.

As I said in my opening statement, were far from inactive, she also asserted, before mounting another fierce defense of the DPCs record claiming: We are by any measure the most active enforcer of data protection law in the EU. Two thirds of all enforcement delivered across the EU/EEA and UK last year was delivered by the Irish Data Protection Commission and thats verifiable facts.

Responding to another question from the committee, regarding what sanctions the DPC is looking at if it finds TikTok has infringed the GDPR, Dixon emphasized it has a whole range of corrective measures up to bans on data processing that we can apply, not just fines.

In any investigation were open minded in relation to what the applicable and effective measures will be when we conclude an investigation with infringement so, I can assure you, where we have considered in the [TikTok] case that weve already concluded the childrens data thats now with our fellow authorities we have looked across the range of measures available to us in relation to that investigation, she told MEPs.

The issue of fines that the DPC may (or may not) choose to impose for GDPR breaches is particularly topical given its emerged as a key detail in the aforementioned Meta data transfers enforcement.

In the Meta transfers case, Dixon and the DPC had not wanted to levy any financial penalty on the tech giant for a multi-year breach affecting hundreds of millions of Europeans. However, it was forced to include a fine in the final decision in order to implement a binding decision by the EDPB which had ordered it to impose a fine of between 20% and 100% of the maximum possible under the GDPR (which is 4% of annual revenue). In the event Ireland opted for the lower bar setting the penalty at around 1% of Metas annual revenue.

In her remarks to MEPs today, Dixon defended the DPCs decision not to propose fining Meta for its illegal transfers however, she offered no substantial argument for why it took such a position.

As Im sure youll be aware, the DPC respectfully disagreed with the proposal to apply a fine. In our view, a meaningful change, if it was to be delivered, in this area required the suspension of transfers. No administrative fine could guarantee the kind of change required, she told MEPs, offering a straw man argument in defense of wanting to let Meta go without any financial sanction, which seems to imply theres an either/or equation for GDPR enforcement that is, corrective measures or punishment when, very clearly, the regulation allows for both (and, indeed, intends that enforcement is dissuasive against future law breaking). Hence the EDPBs binding decision requiring Ireland to impose a substantial fine on Meta for such a systematic and sustained infringement of the GDPR.

Instead of elaborating on the rationale for choosing not to fine Meta, Dixon switched gears into a swipe of her own directed at the EDPB by making an observation that all the Boards binding decisions in cases in which the DPC had acted as lead supervisory authority are subject to annulment proceedings before the Court of Justice of the European Union, before adding (somewhat acidly): As such the CJEU, rather than the EDPB, will have the final say on the correct interpretation and application of the law.

In questions to Dixon, social democrat MEP, Birgit Sippel, picked her up on what she implied was a repeated lack of clarity emanating from the DPC on fines also flagging a lack of clear answers from the Irish commissioner in her remarks to the committee today on why it had failed to propose any penalty at all for Metas illegal data transfers.

There was no comeback from Dixon to that point.

In her questioning, Sippel also wondered whether TikTok was cooperating with the DPCs investigations or whether the DPC had adequate access to information from it in order to conduct proper oversight. On this Dixon said the company is cooperating with the two investigations, while noting TikTok has from time to time been asking for extensions to submission deadlines, which she implied were typically granted as she considered they were merited on account of the amount of volume of material involved providing a small glimpse of GDPR enforcement timeline creep in action.

Asked for a response to views expressed by MEPs during the LIBE committee hearing, a TikTok spokesperson told us: We welcome the Data Protection Commissioners acknowledgement that TikTok has been cooperative and responsive with the regulator. As a company we are readily available to meet with lawmakers and regulators to address any concerns.

In a press release about Dixons appearance in front of the committee today, the DPC wrote:

The Data Protection Commission (the DPC) was today delighted to be invited to make its first address before the European Parliaments Committee on Civil Liberties, Justice and Home Affairs (the LIBE Committee). The address coincided with the five-year anniversary of the application of the General Data Protection Regulation (the GDPR) and covered a wide-range of topics, including the extensive enforcement work of the DPC over the last five years and the progress of some of the large-scale investigations it currently has on-hand; in particular those relating to TikTok.

Todays address by Commissioner for Data Protection, Helen Dixon, built on the ongoing positive engagement between the DPC and the LIBE Committee, following the visit of a LIBE delegation to the DPCs offices last September. Welcoming the chance to highlight the successful enforcement work of the DPC to date, Commissioner Dixon reflected on the constructive and useful nature of engagement with the LIBE Committee as we each, from our respective remits, pursue the drive for fair and effective enforcement of data protection law and protection of fundamental rights.

Commissioner Dixon was also pleased to answer questions from the MEPs in attendance and provide additional clarity as to the nature and scale of the DPCs work.

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Top IT courses that you can do; check the best 5 here – HT Tech

Top IT courses that you can do; check the best 5 here Photo Credit: Pexels These IT courses will provide the kind of knowledge that will lead you towards a successful career. Check out the top 5 IT courses here. Photo Credit: Pexels If you have just passed your 12th and are looking for an Information Technology (IT) course, then you need to first understand your interests and career goals, and then choose the best course. Photo Credit: Pexels Here are the suggestions that will help you in mapping the best IT course for you. Photo Credit: Pexels Bachelor's Degree in IT (BE/B-Tech in IT): It will focus on Data Structures and Algorithms, Operating Systems, Databases, Programming, system development, and more. Photo Credit: Pexels Bachelor's Degree in software engineering: It will provide an extensive education in software development fundamentals, such as user interface design, programming language, methodologies, software testing, and more. Photo Credit: Pexels Bachelor's Degree in Data Sciences: It offers a wide range of subjects such as Applied Statistics, Data Mining, machine learning, data visualization across several sectors. Photo Credit: Pexels Bachelor in Cyber Security: It focuses on technology, people, information, systems, and processes to enable cyber operations. It can help you with careers in protecting data, system, and networks from cyber attacks. Photo Credit: Pexels Bachelor of Computer Application (BCA): This under-graduation program helps students in understanding Operating Systems, Java Programming, Computer Networks, Database Management Systems, and more. Check More

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First woman to win an Indy 500 was Marcus Ericsson’s engineer in … – IndyStar

Indy 500 winner Marcus Ericsson looks back on his chances to win at IMS

Chip Ganassi Racing's Marcus Ericsson wins the 106th running of the Indianapolis 500.

Clark Wade, Indianapolis Star

INDIANAPOLIS -- Angela Ashmore had no idea she'd made Indy 500 history as she stood in victory circle at Indianapolis Motor Speedway, as she watched Marcus Ericsson with a wreath around his neck take a few glorious sips of whole milk, then pour the rest down his face.

All Ashmore knew was an indescribable feeling of watching her driver win the world's most iconic race. Knowing she had played a part in Ericsson's victory, as his engineer, was enough for her, more than enough.

But weeks after the May 29, 2022 Indy 500, Ashmore found out the racing world knew something she didn't know. Ashmore was the first woman on an Indy 500 team to ever win the race -- in any position -- in 106 years.

"It was pretty incredible. It's the biggest race in our sport, one of the biggest races in the world," said Ashmore, 35, a Purdue graduate and Chip Ganassi Racing engineer. "The race has a lot of history and being the first female to win, that's a big accomplishment."

Especially because Ashmore won the Indy 500 in a major role. She is the engineer on Ericsson's team who manages the telemetry of the car, the fuel mileage and strategy during the race. Throughout the season, she oversees the electronic system to ensure quality data is collected and turned into useful information.

In other words, Ashmore makes Ericsson's car go faster.

"From the driver perspective, the engineers are the ones you are the closest with," Ericsson said this week. "I spend a lot of time with Angela when I'm not in the car, sitting, talking and discussing strategy."

Yet as Ericsson drank the milk in 2022, just like Ashmore, he had no idea his win had catapulted her into racing history books. Not until weeks later when a driver and an engineer learned exactly what they had done.

"First of all, I was shocked when I heard it, that she was the first woman. I was sure it had happened before," said Ericsson. "It's crazy it hadn't happened before. It's so great to be part of that history and I'm hoping it will help push more women into the sport."

Ashmore wants that, too, to be a role model for young women trying to break into male-dominated industries, to show them gender doesn't matter, just their skills.

But first, Ericsson and Ashmore have a race to run. And on Sunday, their No. 8 Honda is competing to become the first back-to-back winner of the Indy 500 since Helio Castroneves won in 2001 and 2002. Can they recreate their 2022 magic for a repeat?

"Well, I never want to say that because I don't want to jinx it," said Ashmore. "But we have a fast car that races well in a pack. Chip Ganassi has four really good cars. I hope one of them, but especially the 8 car, takes home a win."

Ericsson doesn't hesitate when asked the same question: Can you repeat an Indy 500 victory? "That's the plan. That is the plan. That's what we're here for."

And with Ashmore on his team, Ericsson said, he is pretty sure the plan can become reality. "She's pretty amazing."

Ashmore grew up in Coopersville, a small town in western Michigan, with a dad who loved racing. The family spent many Saturday nights watching short-track events at the Berlin Raceway. Her dad and uncle even raced together, with a one-man pit crew, her dad.

On Sundays, Ashmore and her dad would settle in front of the television to watch NASCAR. "I literally fell in love with it watching it on TV by the time I was 4 or 5 years old," said Ashmore.

Inside her bedroom closet, her entire wardrobe consisted of racing T-shirts. "It was an obsession. I knew that's what I wanted to do for a career."

But what racing career, she wasn't sure. Maybe a driver or a pit crew member. Maybe one of those track announcers. Or maybe an engineer.

In high school, Ashmore excelled at math and science and took an intro to engineering class where the students built a car. If she had loved racing before, that class took it to a new level.

After she graduated high school, Ashmore was desperately searching for a way to get into racing. She took a chance and walked into Ponstein Racing, a Michigan team competing in the CRA late model series, with an offer.

"'Hey, I'll come work for you for free if you let me just observe and learn,'" Ashmore told the Ponstein team. They said yes.

Every afternoon after her summer day job, Ashmore would go to the shop and spend her nights working on race cars, sweeping floors, swapping out engines and rebuilding brakes.

"I just wanted the experience of being in a race shop no matter what I was doing," she said. "Just so I could learn."

As Ashmore entered her freshman year of college at Purdue, she knew exactly what she wanted to do in her racing career -- make those cars go faster. She wanted to be a racing engineer.

As a standout mechanical engineering student at Purdue, Ashmore landed a spot with Purdue's Formula SAE, a team ofabout 30 students that each year builds a single-seat open wheel race car and competes against other university teams.

On the SAE team, Ashmore was the suspension lead, spending countless hours in the machine shop building parts for the car. She also raced the cars.

After graduating from Purdue in 2010 with a bachelor's degree in mechanical engineering, Ashmore started searching for racing jobs. She soon learned just how hard it was to get a foot in the door in this industry.

"You either grew up in racing, your family did it, you knew somebody your dad was friends with or you knew somebody who did it," said Ashmore. "It's kind of a boys club. Being a female I didn't even know anyone in racing. I didn't know where to start."

Out of college, Ashmore went to work for Chrysler and got a master's degree in mechanical engineering from Purdue. She liked her job, but it wasn't her love. Racing was.

Then it finally happened. Five years out of college, Ashmore finally knew someone in racing who knew of an opening with a NASCAR team.

"It was kind of a low level spot," Ashmore said. She didn't care. This might be her chance. "I picked up my life and moved to North Carolina and finally got to prove myself."

Ashmore was the third engineer on a Roush Fenway race team, the assistant to the assistant engineer. She did data mining and collection and prepared reports for other engineers.

But soon she worked her way up to race engineer for Bubba Wallace's Roush Xfinity team and then she worked her way up to the NASCAR Cup Series as a race engineer for Trevor Bayne. And then she was promoted to David Ragan's lead engineer.

Ashmore was on track to make NASCAR history as the first female crew chief, probably within the next few years. She wanted that desperately but she also had IndyCar dreams raging in her head.

Leaving NASCAR was hard. Ashmore loved her job but the traveling was intense, 38 times a year versus 17 in IndyCar. And she was struggling being so far away from her family in the Midwest. IndyCar seemed like the perfect fit.

She landed an engineering job at Ganassi four years ago and has never once regretted the decision. She loves that she has more time between races to think her way through glitches and problems. She loves the creativity and strategizing that time allows her.

And she loves Ganassi's commitment to women in racing. "It is definitely a male dominated sport," she said. "You don't see a lot of women."

Ganassi is trying to change that. In 2022, PNC Bank and Ganassi collaborated to launch the Women In Motorsports program, part of the PNC Project 257, referring to the number of years, if things continue the way they are, it will take for women to be paid the same as men working in the same role.

"Which is insane," Ashmore said. "257 years."

The Women In Motorsports program offers free internships with housing to women in college and technical schools throughout the United States. Ashmore serves as a close mentor to the women, especially those in engineering, as they look to find their footing in the industry.'

"That was the hardest part, finding a way to get a foot in the door," she said. "This gives these women some opportunities that wouldn't otherwise exist, to get exposure to racing."

It also helps the teams, Ashmore said. "You are always stronger when you have diverse opinions and thoughts."

Having Ashmore on the Ganassi team has paid off in an Indy 500 victory and in making Indy 500 history in 2022. It's crazy to think, Ashmore said, that she will forever be the first woman on an IndyCar team to win an Indy 500.

And she wants all the young women who follow her to remember: "The qualifications for the role have nothing to do with gender. It has to do with your ability to do the job," she said. "And there is nothing that makes a man better than a woman based on those qualities.

"I want them to know they are welcome and wanted, and that they won't be the only women who are there."

Learn more about Ganassi's Women In Motorsports program.

Follow IndyStar sports reporter Dana Benbow on Twitter:@DanaBenbow. Reach her via email:dbenbow@indystar.com.

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The Digital Economy Is At The Forefront Of Qatar National … – MENAFN.COM

(MENAFN- The Peninsula) By Alex Zhang CEO Huawei Technologies LLC

Digital technologies have transformed society on an unprecedented scale over the last two decades. They have changed the ways we live, work, play, commute, and interact. Today, it is digital technology that has the potential to bring in widespread social changes and economic advancement.

The emergence of a digital-first world requires countries to prepare for a digital first economy. Leading economies are developing digital plans and policies, investing in key digital technology sectors and ICT infrastructure to rebuild and realize a new enlarged GDP.

The government of Qatar already leading based onthe future is digital direction, prioritizing digitalization as a cornerstone of national development. Qatar has all the right ingredients to become a globally renowned leader in technology and innovation. Qatar National Vision 2030, a blueprint for economic and social development.

ICT helped Qatar to record one of the highest GDP per capita figures in the world. Through open and close collaboration between private and public sectors, the Qatari digital economy can be more inclusive, more competitive, more convenient, and well-positioned for continued growth. Thanks to Qatar 2030 National vision that emphasize digital transformation as a key pillar for growth. The positive results have already been gained in various industries such as the energy sector, telecom, education, and healthcare.

The strong commitment to ICT infrastructure development in the past enabled Qatar to lead in the digital era. Key projects and achievements include national Fixed Broadband (FBB) of 99% national penetration, 5G of 96% nationwide coverage, fastest network in the world, building local datacenter & cloud infrastructure and much more.

Huawei is committed to continue playing an active role to support Qatar building advanced ICT infrastructure through leadership in FBB and 5G technologies through long-standing partnerships partnership ties with local telecom service providers and government entities.

Huawei works with Qatar telecom operators and other enterprises to add new dimensions to Qatar's ICT development through 5.5G network evolution and technological innovation, maintaining Qatar's leading networks capabilities, and enhancing its global positioning and influence in the telecom industry.

Huawei is dedicated to using advanced technologies such as data mining analysis and AI to help local partners realize their digital transformation. Through digital platforms and tools, we fully cooperate with telecom operators in MBB, FBB, and service digitalization to truly improve efficiency, experience, and revenue.

In line with Qatar National Vision 2030, Huawei is keen to actively cooperate with all ecosystem partners to drive Qatar's digital transformation to new milestones. As AI (Artificial Intelligence) is a key pillar for the new world, building a national artificial intelligence center will help form a new model for industrial development with inclusive computing power, promoting the implementation of the national artificial intelligence strategy, including supporting policies, major scientific research, industry agglomeration, industry-university-research collaboration, industry applications, talent cultivation, and new national business card of AI. Achieving this key target will require having the right policies and funds in place to ensure all is set for relevant players to contribute to this goal.

As digital transformation accelerate, new cybersecurity challenges emerge. We must continuously improve cyber security to safeguard the development of the digital economy, which entails both challenges and opportunities. That means building digital trust and making critical infrastructure both more secure and more resilient.

A true demonstration of this capability was during the Qatar FIFA world cup, through our World Cup network Assurance project, Huawei achieved along with its partners outstanding standards of operation quality and ensured the security of the network infrastructure during the Global event.

Looking into the future, Huawei Qatar strategy is fully aligned with the 2030 vision, focusing on supporting Qatar to maintain its leadership in connectivity through leveraging leadership in MBB where we are jointly developing plans with our partners for 5.5G technology deployment, enabling 10Gbps speed, massive IoT and much more, paving the way for the next generation, 6G.

On the FBB domain, we are enhancing fiber technologies through F5.5 evolution. To accelerate cloud adoption in Qatar, Huawei developed an extensive cloud offering to support large enterprises as well as SMEs in Qatar to embrace digital transformation and migrate to cloud-native applications, accelerating investment in AI technology, and providing applications and use cases that benefit the Qatari market to boost productivity, reduce the workforce skills gap, and achieve full automation.

A sustainable digital economy will require more than connectivity. Green ICT solutions must also be prioritized. Huawei can help Qatar achieve a reduction in carbon emissions through intelligence and smart operation.

A sustainable digital economy demands a large pool of local talents that is proficient in the latest technologies and able to adapt to new developments quickly. Governments and businesses must continue to invest in training and education programs to ensure that workers have the skills they need to succeed in the digital economy.

Huawei is highly committed to supporting one of Qatar's key priorities, nurturing ICT local talent and building the ICT talent pool ecosystem. This is crucial to mold all-rounded graduates prepared for a dynamic digital-led workplace. Huawei will continue doing its part to advance the country's ICT skills with flagship initiatives and programs such as the ICT Competition, Seeds for the Future and Huawei ICT Academy.

Together with our partners in Qatar, we join forces to cultivate an ecosystem that is conducive to healthy and coordinated cross-sector development, driving the digital economy forward, accelerating digital transformation, and helping to speed up the arrival of an intelligent world.

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Artificial general intelligence in the wrong hands could do ‘really dangerous stuff,’ experts warn – Fox News

Artificial general intelligence the kind of AI that has capabilities similar to humans may be far off and offer new opportunities, but experts warn it could be potentially dangerous, and have drastic implications for white-collar workers.

"Im about as excited about AGI as I am about nuclear fission," Diveplane CEO Dr. Michael Capps told Fox News Digital. "Its really amazing what we can do with it, it can power our society, but in the wrong hands, it can do some really dangerous stuff."

While there is no one definition of AGI, a 2020 report from consulting giant McKinsey said such a machine would need to master human-like skills, such as fine motor skills and natural language processing. Some have argued that recent developments in AI, such as OpenAIs GPT4, reach nearly the level of AGI, while others say the technology is decades away.

WHAT IS AGI? THE ARTIFICIAL INTELLIGENCE THAT CAN DO IT ALL

Artificial General Intelligence is generally defined as a kind of AI with capabilities similar to that of humans. (JOSEP LAGO/AFP via Getty Images)

Capps compared AGIs to nuclear materials, noting that there are still unknown risks associated with AI, and in the wrong hands, it can do drastic damage.

"[W]e also did some really stupid things with radioactive materials," Capps said. "Early on, we put them in kids toys, and chemistry sets and clocks, because we had no idea what the dangers were."

"And imagine everybody has an AGI, or a hostile country like North Korea has a really strong AGI, and theyre not regulating it, and we are being very careful. Well, it really changes the whole dynamic of society," Capps added.

On another level, AGI could drastically, and negatively, impact white-collar workers, Christopher Alexander, the chief communications officer of Liberty Blockchain, told Fox News Digital.

WHAT IS BLACK BOX AI? EXPERTS EXPLAIN THE HIDDEN DECISION-MAKING OF ARTIFICIAL INTELLIGENCE MACHINES

AGI, in the wrong hands, could have drastic consequences, warned Diveplane CEO Michael Capps. (REUTERS/Dado Ruvic/Illustration)

"In certain industries, its going to be a problem," Alexander said, pointing to low-level white-collar workers, whose jobs may be automated due to advanced artificial intelligence.

FAKE PENTAGON EXPLOSION IMAGE GOES VIRAL ON TWITTER, SPARKING FURTHER AI CONCERNS

Despite these challenges, Alexander said "new opportunities" would be created because of advanced AI technologies.

But, even with these new opportunities, Alexander said there would be an "ugly gap" between AI automating certain jobs and when they are replaced with new opportunities.

"I do worry about that transition period," he said.

New developments in artificial intelligence, such as OpenAI's ChatGPT, have led to questions about the technology's future and safety. (Bloomberg via Getty Images)

And while recent developments in artificial intelligence have thrust it to the forefront of public discord, both Capps and Alexander said current AI technologies do not reach the level of AGI, which may be decades off.

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"I think the neat thing is, no one knows," Capps said. "The average AI scientist probably thinks were 20, 15 years away. But once it happens, its going to be really fast."

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What we lose when we work with a giant AI like ChatGPT – The Hindu

Recently, ChatGPT and its ilk of giant artificial intelligences (Bard, Chinchilla, PaLM, LaMDA, et al.), or gAIs, have been making several headlines.

ChatGPT is a large language model (LLM). This is a type of (transformer-based) neural network that is great at predicting the next word in a sequence of words. ChatGPT uses GPT4 a model trained on a large amount of text on the internet, which its maker OpenAI could scrape and could justify as being safe and clean to train on. GPT4 has one trillion parameters now being applied in the service of, per the OpenAI website, ensuring the creation of artificial general intelligence that serves all of humanity.

Yet gAIs leave no room for democratic input: they are designed from the top-down, with the premise that the model will acquire the smaller details on its own. There are many use-cases intended for these systems, including legal services, teaching students, generating policy suggestions and even providing scientific insights. gAIs are thus intended to be a tool that automates what has so far been assumed to be impossible to automate: knowledge-work.

In his 1998 book Seeing Like a State, Yale University professor James C. Scott delves into the dynamics of nation-state power, both democratic and non-democratic, and its consequences for society. States seek to improve the lives of their citizens, but when they design policies from the top-down, they often reduce the richness and complexity of human experience to that which is quantifiable.

The current driving philosophy of states is, according to Prof. Scott, high modernism a faith in order and measurable progress. He argues that this ideology, which falsely claims to have scientific foundations, often ignores local knowledge and lived experience, leading to disastrous consequences. He cites the example of monocrop plantations, in contrast to multi-crop plantations, to show how top-down planning can fail to account for regional diversity in agriculture.

The consequence of that failure is the destruction of soil and livelihoods in the long-term. This is the same risk now facing knowledge-work in the face of gAIs.

Why is high modernism a problem when designing AI? Wouldnt it be great to have a one-stop shop, an Amazon for our intellectual needs? As it happens, Amazon offers a clear example of the problems resulting from a lack of diverse options. Such a business model yields only increased standardisation and not sustainability or craft, and consequently everyone has the same cheap, cookie-cutter products, while the local small-town shops die a slow death by a thousand clicks.

Like the death of local stores, the rise of gAIs could lead to the loss of languages, which will hurt the diversity of our very thoughts. The risk of such language loss is due to the bias induced by models trained only on the languages that already populate the Internet, which is a lot of English (~60%). There are other ways in which a model is likely to be biased, including on religion (more websites preach Christianity than they do other religions, e.g.), sex and race.

At the same time, LLMs are unreasonably effective at providing intelligible responses. Science-fiction author Ted Chiang suggests that this is true because ChatGPT is a blurry JPEG of the internet, but a more apt analogy might be that of an atlas.

An atlas is a great way of seeing the whole world in snapshots. However, an atlas lacks multi-dimensionality. For example, I asked ChatGPT why it is a bad idea to plant eucalyptus trees in the West Medinipur district. It gave me several reasons why monoculture plantations are bad but failed to supply the real reason people in the area opposed it: a monoculture plantation reduced the food they could gather.

That kind of local knowledge only comes from experience. We can call that knowledge of the territory. This knowledge is abstracted away by gAIs in favour of the atlas view of all that is present on the internet. The territory can only be captured by the people doing the tasks that gAIs are trying to replace.

A part of the failure to capture the territory is demonstrated in gAIs lack of understanding. If you are careful about what you ask them for (a feat called prompt engineering an example of a technology warping the ecology of our behaviour), they can fashion impressive answers. But ask it the same question in a slightly different way and you can get complete rubbish. This trend has prompted computer scientists to call these systems stochastic parrots that is, systems that can mimic language but are random in their behaviour.

Positive research directions exist as well. For example, BLOOM is an open-source LLM developed by scientists with public money and with extensive filtering of the training data. This model is also multilingual, including 10 Indian languages, plus an active ethics team that regularly updates the licence for use.

There are multiple ways to thwart the risks posed by gAIs. One is to artificially slow the rate of progress in AI commercialisation to allow time for democratic inputs. (Tens of thousands of researchers have already signed a petition to this effect).

Another is to ensure there are diverse models being developed. Diversity here implies multiple solutions to the same question, like independent cartographers preparing different atlases with different incentives: some will focus on the flora while others on the fauna. The research on diversity suggests that the more time passes before reaching a common solution, the better the outcome. And a better outcome is critical when dealing with the stakes involved in artificial general intelligence an area of study in which a third of researchers believe it can lead to a nuclear-level catastrophe.

Just to be clear, I wrote this article, not ChatGPT. But I wanted to check what it would say

Q: Write a response to the preceding text as ChatGPT.

A: As ChatGPT, Im a tool meant to assist and augment human capabilities, not replace them; my goal is to understand and respond to your prompts, not to replace the richness and diversity of human knowledge and experience.

Yet as the writer George Zarkadakis put it, Every augmentation is also an amputation. ChatGPT & co. may assist and augment but at the same time, they reduce the diversity of thoughts, solutions, and knowledge, and they currently do so without the inputs of the people meant to use them.

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16 Jobs That Will Disappear in the Future Due to AI – Yahoo Finance

In this article, we will take a look at the 16 jobs that will disappear in the future due to AI. To see more such jobs, go directly to 5 Jobs That Will Disappear in the Future Due to AI.

By now you must have heard or read about how AI-powered bots are coming for millions of jobs. Whether or not they will make all of us redundant and how our collective future would be shaped by this development is a separate debate. But its important to note that companies have already started using AI technologies to assist, and in some cases replace, humans. Take multinational home repair services company HomeServe, for example. The company recently deployed AI-powered bot named Charlie at its call center. According to a detailed report by the Wall Street Journal, the assistant takes a whopping 11,400 calls a day, which is impossible for any human. The AI agent also assists human staff in their daily work, schedules repair appointments, processes claims, among a plethora of other tasks.

Call centers is just one area where AI has arrived to make a difference. Earlier this year a report by Goldman Sachs made a lot of rounds in the media. The report said that automation could affect about 300 million full-time jobs in the US. The threat of AI taking over human jobs jumped exponentially after companies like Amazon.com, Inc. (NASDAQ:AMZN), Alphabet Inc Class A (NASDAQ:GOOGL) and Microsoft Corp (NASDAQ:MSFT) started to aggressively roll out AI applications.

While the fear about AI taking away jobs isnt unfounded, its vastly blown out of proportion due to lack of historical context. A research paper titled Why Are There Still So Many Jobs? by David H. Autor shares some interesting insights into how human history has always seen jobs come and go. Humans over the course of history have shown a dramatic capability of adaptation or evolution. Consider the fact that 41% of workforce in the US was employed in the agriculture sector in 1900. That percentage fell to just 2% by 2000. This massive change was ushered in by automated machinery in the agriculture sector. What happened to these millions of workers? They didnt starve to death, but evolved and probably thrived thanks to the new kinds of jobs created in the aftermath of the technological revolution.

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Another important data point shared in the research paper shows how automation creates new jobs and actually ends up increasing the productivity of humans, benefitting everyone. The research says that ATM machines were first launched in the 1970s and their numbers in the US economy quadrupled from approximately 100,000 to 400,000 between 1995 and 2010. And what happened to human bank tellers? They actually rose from 500,000 to approximately 550,000 over the 30-year period from 1980 to 2010. Population increase was one of the reasons behind this growth but the most important thing to note here is that after the automation of cash handling, banks started to use bank teller staff in other, more important banking tasks (like customer relationship management).

The Goldman Sachs report we talked about earlier in the article also cited the research paper by Autor and says that AI could end up creating new jobs and opportunities.

In addition, jobs displaced by automation have historically been offset by the creation of new jobs, and the emergence of new occupations following technological innovations accounts for the vast majority of long-run employment growth, according to the report. For example, information-technology innovations introduced new occupations such as webpage designers, software developers and digital marketing professionals. There were also follow-on effects of that job creation, as the boost to aggregate income indirectly drove demand for service sector workers in industries like healthcare, education and food services. "

A research paper titled Demography as a Driver of Robonomics by Robonomics sums up its study in a paragraph that sounds eerily accurate and unsettling:

The demographic changes are a driver for how governments, industry, and the ci tizenry will have to convert into a more robotized economy. A shortage of humans means that people will have to be replaced with technology, indeed research shows that middle -aged workers are already being replaced by robots in the USA. While there will be winners and losers from this transition, there will be externalities within countries and a change in international relations. The transition to a robonomic society will not be without turbulence, so humanity (and our robots) will have to be brave or at least be programmed to appear brave for the new world we are entering into. May the robotic force be with us all!

Our Methodology

For this article we consulted several research papers, scholarly articles, reliable internet articles and book summaries to shortlist the jobs that face the threat of extinction over the next five to ten years due to AI. These research papers include GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models by OpenAI and University of Pennsylvania, Sparks of Artificial General Intelligence: Early experiments with GPT-4 by Microsoft Research, Goldman Sachs March 2023 report titled The Potentially Large Effects of Artificial Intelligence on Economic Growth, The Future of Employment paper by Oxford Martin School, a research paper titled How will Language Modelers like ChatGPT Affect Occupations and Industries? by researchers from University of Pennsylvania, New York University and Princeton, among other academic papers. We also consulted the website Will Robots Take My Job? The rationale behind consulting a wide range of sources was to expand our methodology and reach a consensus opinion-based ranking, minimizing biases that come with relying on a single source.

ChatGPT is already being used to make plugins and micro-services based on user requirements and input. Its not hard to believe that fifty years down the road a user would be able to just tell their AI assistant about a website they want to be made for their business and AI would make it for them in just a few minutes (or seconds?). AI-based software would also be able to perform data analysis tasks, making data analysts redundant. Technologies offered by Amazon.com, Inc. (NASDAQ:AMZN), Alphabet Inc Class A (NASDAQ:GOOGL) and Microsoft Corp (NASDAQ:MSFT) will play a key role in this development.

By now its clear to anyone whos used ChatGPT that its a great tool for basic writing tasks and proofreading. Writing tasks that do not involve any deep research, human perspective or in-depth analysis could easily be taken away by AI in the years to come.

Several online demos have shown that ChatGPT does a far better job at translation when compared to Google Translate. As companies race to improve their language models and train their systems on foreign languages, the requirement for entry-level translators will decline.

Tools like DALL.E and MidJourney are already causing a lot of layoffs in the graphic design industry since businesses can simply give input to these AI tools and make basic graphics and logos.

Thousands of fast food restaurants around the world are already using automated machines to take customer orders. But the need for human interaction is really felt in drive-thrus, where the customer thinks, talks, and explains their orders (and sometimes makes a lot of changes). But large language models have enabled companies to start thinking of bringing AI to the drive-thru as well. Wendys recently revealed plans to launch AI-powered drive-thrus where bots will take customer orders. The company plans to launch the service at its locations in Columbus, Ohio. The companys chief executive Todd Penegor reportedly said:

You wont know youre talking to anybody but an employee.

Basic accounting, bookkeeping and payroll processing usually involve some straightforward processes based on user input. Thats why a lot of research papers and studies we read during our research assign a higher risk to accounting jobs when it comes to AI.

Millions of people receive their packages on time daily due to postal service clerks. They are the ones who make sure packages are entered in the system with correct stamps and addresses, in addition to taking money orders, helping customers fill out forms, placing mail in the correct pigeon holes of mail racks or in bags, among many other tasks. But several sources we read for our research, including the research paper by researchers at Princeton and University of Pennsylvania, believe postal service clerk roles could be automated in the future.

Companies are already using AI-powered systems that fetch, process, enter, format and communicate data based on user requirements. Data entry clerks were already facing redundancy throughout the world due to advanced web scraping technologies and python-based data processing scripts.

Bank tellers perform basic and important tasks like verifying a customers identity and financial information before processing transactions, cashing checks, collecting loan payments, etc. Almost all the reliable resources we consulted during our research believe bank teller roles have a 100% chance of disappearing in the future because of AI. But seeing bank tellers on this list should not be a surprise to anyone. Several banks started using automated tellers long before ChatGPT. In 2017, the Bureau of Labor Statistics had forecasted that teller jobs would decline around 8 percent through 2026.

Scheduling meetings, preparing documents, searching documents, applying basic excel formulas to retrieve data, booking flights and hotels, calling/messaging for important questions and follow-ups. These are some of the tasks performed by administrative support staff and many of these could easily be performed by AI. In fact a lot of companies have already started using ChatGPT for scheduling, taking meeting notes, booking appointments, etc.

Theres a lot more to law industry than just the lawyers who are standing in the courtroom indulged in deep arguments. Several research papers and studies believe jobs in the legal industry are facing a high risk of redundancy due to AI. Consider what a legal assistant does. They manually search tons of legal documents to find an answer, make appointments, perform client coordination and general admin tasks. All of this could easily be automated.

As AI technologies offered by companies like Amazon.com, Inc. (NASDAQ:AMZN), Alphabet Inc Class A (NASDAQ:GOOGL) and Microsoft Corp (NASDAQ:MSFT) improve, more and more jobs will face increased exposure to automation.

Click to continue reading and see 5 Jobs That Will Disappear in the Future Due to AI.

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Disclosure: None. 16 Jobs That Will Disappear in the Future Due to AI is originally published on Insider Monkey.

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Retail and Hospitality AI Revolution Forecast Model Report 2023 … – GlobeNewswire

Dublin, May 24, 2023 (GLOBE NEWSWIRE) -- The "Retail's AI Revolution Forecast Model" report has been added to ResearchAndMarkets.com's offering.

The Retail AI Forecast Model is a forecast model for the impact of Traditional AI/ML, Generative AI, and Artificial General Intelligence for the Retail and Hospitality markets from 2022 - 2029. We forecast the economic impact in great detail, including the following breakouts:

Model for Pivot Tables

AI Type by Segment - looks at the forecast by segment by region for Traditional AI/ML, Generative AI, and Artificial General Intelligence from 2022-2029 via the Income Statement Categories of Sales Impact, Gross Margin Impact, and Sales & General Administrative Impact.

Segments included are the following:

Charts by AI Type

Along with the data, there are many charts that look at the economic benefits/impact by year for each of the following:

Region charts

Tiers

For more information about this report visit https://www.researchandmarkets.com/r/8c3dg6

About ResearchAndMarkets.comResearchAndMarkets.com is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.

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Retail and Hospitality AI Revolution Forecast Model Report 2023 ... - GlobeNewswire

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Israel aims to be ‘AI superpower’, advance autonomous warfare – Reuters.com

[1/2] Employees, mostly veterans of military computing units, use keyboards as they work at a cyber hotline facility at Israel's Computer Emergency Response Centre (CERT) in Beersheba, southern Israel February 14, 2019. Picture taken February 14, 2019. REUTERS/Amir Cohen

JERUSALEM, May 22 (Reuters) - Israel aims to parlay its technological prowess to become an artificial intelligence "superpower", the Defence Ministry director-general said on Monday, predicting advances in autonomous warfare and streamlined combat decision-making.

Steps to harness rapid AI evolutions include the formation of a dedicated organisation for military robotics in the ministry, and a record-high budget for related research and development this year, retired army general Eyal Zamir said.

"There are those who see AI as the next revolution in changing the face of warfare in the battlefield," Zamir told the Herzliya Conference, an annual international security forum.

He named GPT (Generative Pre-trained Transformer) and AGI (Artificial General Intelligence) as deep-learning realms being addressed by civilian AI industries which could eventually have military applications.

These, Zamir said, potentially include "the ability of platforms to strike in swarms, or of combat systems to operate independently, of data fusion and of assistance in fast decision-making, on a scale greater than we have ever seen".

The ministry declined to provide figures on AI funding.

The Israeli military has lifted the veil on some of autonmous systems already deployed. In 2021, it said robot surveillance jeeps would help patrol the Gaza Strip border.

This month, state-owned Israel Aerospace Industries unveiled an autonmous intelligence-gathering submarine which, it said, had already completed "thousands of hours" of operations.

Eyal credited Israel's achievements in cyber warfare - widely believed to have been used against Iranian nuclear facilities - to "a correct and timely discerning of the defence, economic, national and international dimensions".

Similary, he said, "our mission is to turn the State of Israel into an AI superpower and to be at the head of a very limited number of world powers that are in this club".

(This story has been refiled to fix a typo in paragraph 4)

Writing by Dan Williams, Editing by William Maclean

Our Standards: The Thomson Reuters Trust Principles.

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‘Godfather of AI’ says there’s a ‘serious danger’ tech will get smarter than humans fairly soon – Fox News

The so-called "godfather of AI" continues to warn about the dangers of artificial intelligence weeks after he quit his job at Google.

In a recent interview with NPR, Geoffrey Hinton said there was a "serious danger that we'll get things smarter than us fairly soon and that these things might get bad motives and take control."

He asserted that politicians and industry leaders need to think about what to do regarding that issue right now.

No longer science fiction, Hinton cautioned that technological advancements are a serious problem that is probably going to arrive very soon.

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Geoffrey Hinton, chief scientific adviser at the Vector Institute, speaks during The International Economic Forum of the Americas (IEFA) Toronto Global Forum in Toronto, Ontario, Canada, on Thursday, Sept. 5, 2019. (Cole Burston/Bloomberg via Getty Images)

For example, he told the outlet the world might not be far away from artificial general intelligence, which has the ability to understand or learn any intellectual task that a human can.

"And, I thought for a long time that we were like 30 to 50 years away from that," he noted. "Now, I think we may be much closer. Maybe only five years away from that."

While some people have compared chatbots like OpenAI's ChatGPT to autocomplete, Hinton said the AI was trained to understand and it does.

"Well, I'm not saying it's sentient. But, I'm not saying it's not sentient either," he told NPR.

The OpenAI ChatGPT app on the App Store website displayed on a screen and the OpenAI website displayed on a phone screen are seen in this illustration photo taken in Poland on May 18, 2023. (Photo by Jakub Porzycki/NurPhoto)

"They can certainly think and they can certainly understand things," he continued. "And, some people by sentient mean, Does it have subjective experience? I think if we bring in the issue of subjective experience, it just clouds the whole issue and you get involved in all sorts of things that are sort of semi-religious about what people are like. So, let's avoid that."

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He said he was "unnerved" by how smart Google's PaLM model had gotten, noting that it understood jokes and why they were funny.

Google has since released PaLM 2, the next-generation large language model with "improved multilingual, reasoning and coding capabilities."

Artificial intelligence pioneer Geoffrey Hinton speaks at the Thomson Reuters Financial and Risk Summit in Toronto, December 4, 2017. (REUTERS/Mark Blinch/File Photo)

With the release of such AI swirls fears regarding job replacement, political disputes and the spread of disinformation due to AI.

While some leaders including Elon Musk, who has his own stake in the AI sphere had signed an open letter to "immediately pause for at least six months the training of AI systems more powerful than GPT-4," Hinton does not think it's feasible to stop the research.

"The research will happen in China if it doesn't happen here," he explained.

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He highlighted that there would be many benefits to AI and asserted that leaders need to put a lot of resources and effort into seeing if it's possible to "keep control even when they're smarter than us."

"All I want to do is just sound the alarm about the existential threat," he said, noting that others had been written off "as being slightly crazy."

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