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The Rise of AI | ‘Risks and challenges’: Educators eye new artificial … – TribDem.com

JOHNSTOWN, Pa. Richland High School Principal Timothy Regan tries to keep up with emerging technologies so that he knows what his students are using and so that he can prepare them for life outside the classroom.

That approach has taken Regan into the ever-expanding world of artificial intelligence, or AI, which is on the rise as companies jockey for the top spot with new programs that do everything from writing emails to generating term papers.

My focus is really driven toward how to use this to have a better educational experience for our students, Regan said.

The use of AI in education is evolving at every level of academia. Educators and administrators seek ways to determine programs potential use in the classroom and whether using the technology could be detrimental to students work, possibly leading to plagiarism and other forms of cheating.

The U.S. Department of Educations AI focus largely has been on how it allows students and educators to have new forms of interactions, enhances feedback loops and makes teachers jobs easier.

That doesnt mean there arent concerns about the use of AI in learning.

There have been numerous reports about AI programs potentially replacing teachers as well as data privacy issues, fear of unwanted or unsuspected bias, and the consequences of inaccurate or fake information.

The Federal Trade Commission has opened an investigation into ChatGPT, a prominent AI application, to determine if the tool has harmed people by generating incorrect details about them.

A report from the Department of Educations Office of Educational Technology, Artificial Intelligence and the Future of Teaching and Learning, highlights the need for greater student surveillance, as well as concerns about discrimination from algorithmic bias for example, a voice recognition system that doesnt work well with regional dialects and achievement gaps widening because the software could speed delivery of information for some and slow it for others.

Regan pointed out that AI has existed for years.

He said that services including Grammarly, which provides writing assistance, are a good example of existing learning software. Regan said hes toyed with programs such as Magic Eraser for image alteration and Tetra, which takes notes during virtual meetings.

All these things are a way to make people more efficient, Regan said. That could apply to teachers creating lesson plans or scoring tests, he said, leading to more time to focus on students school experience.

The United Nations Educational, Scientific and Cultural Organization (UNESCO) cautions that rapid technology developments could lead to multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks.

Thats Mount Aloysius College assistant professor Danny Andersons main concern.

Although he finds AI fun and fascinating, the professor at the Cresson college expressed reservations about the arms race of companies trying to best each other with newer products to catch cheaters.

Mark DiMauro, a University of Pittsburgh at Johnstown humanities professor, also questioned the information gathered by these systems. He used the phrase garbage in, garbage out, meaning that if the source material used by AI programs isnt quality, they wont produce quality content.

I do think we run the risk of over-trusting, DiMauro said.

He added that he will now be putting more emphasis on students needing to double- or triple-check research to make sure that sources back each other up.

Anderson said he isnt concerned about the technologys recent influx in education.

He thinks its obvious when a student uses a program such as ChatGPT to complete an assignment. The work often lacks a personal touch and the writers voice, Anderson said.

Still, Anderson said, AI may cause him to rethink some of his assignments to be absolutely sure that students work is original.

Disciplinary measures are still being determined for how to deal with AI use in assignments.

Regan pointed out that kids who wanted to find a way to cheat found a way to cheat since school started and that there are tools available to check their work. He noted the service Turnitin, which checks for plagiarism and now includes an AI indicator.

Other options could include having students demonstrate their comprehension of the work in person instead of writing papers or taking tests, he said.

On the policy side, Regan added that he and his administrative team are examining options that may require AI citations and address consequences for misuse.

David Haschak, vice president for academic affairs at Mount Aloysius College, said numerous conversations on the subject are underway at the administrative level.

Starting this fall, the college added a section to its academic integrity policy thatll address unauthorized artificial intelligence use. UNESCO reported that fewer than 10% of the 450 universities it surveyed had formal guidance on AI as of this summer.

In some classrooms, it may be a tool, Haschak said. In others, they want all original work.

For Gavin Moore, a junior at Bucknell University in Lewisburg, Union County, AI is something useful in coding for personal projects or school, but he notes its limitations become apparent.

They arent miracle tools that do everything for you. You still need to do all the heavy lifting yourself, he said. With something like ChatGPT, it can be like having a very elaborate search engine/online assistant at your disposal. The biggest thing it does is make it easier to resolve issues in code or provide insight into small problems I might have with a given topic I need to understand.

Mount Aloysius is incorporating the conversation on artificial intelligence into student orientation in order to engage parents in seeing how their children may be using such programs.

At Susquehanna University in Selinsgrove, Snyder County, no official guidance has been issued. The university is scheduled to host a series of workshops ahead of the start of classes on Aug. 28.

Its just an overview about how AI systems work, limitations, and how and when, as a university, do we need to develop a university-wide policy, said Nabeel Siddiqui, assistant professor of digital media and director of Susquehanna Universitys Center for Teaching and Learning. Do faculty need to determine a policy in their classrooms now? As a faculty, there are some that have concerns and some that are excited.

Richland High School world history and character and leadership teacher Jacob St. Clair and DiMauro share a similar approach on the matter.

St. Clair said he has experimented with some programs, including ChatGPT and image-generating software, as well as face-mapping, and considers AI to be another tool in the toolbox of teachers and students.

Its like a calculator, St. Clair said.

DiMauro said he has heard a lot of doom and gloom about the technology, but doesnt believe any of it. He argued that students writing with chatbots may be good because thatll allow them time to focus on other endeavors, such as research or other classes.

Theres just so many fascinating things you can do with this thing if applied properly, DiMauro said.

DiMauro said the cross- section of AI and education is in a weird place.

He said he understands that people can be put off by the technology.

He doesnt think people have been taught to use the tools correctly programs such as ChatGPT arent super-Google, he noted.

I do absolutely think once people get their heads around it, theyll be more open and willing, DiMauro said. Educate yourself about it and it will suddenly not seem as dangerous as before and youll start seeing the possibilities.

St. Clair cited the example of bringing still pictures to life or creating mini-movies with historic paintings to add a new dimension to education.

Looking ahead, he said, he thinks the technology will help teach students critical thinking and problem-solving skills as well as connect them to the subjects theyre studying.

DiMauro said that he is hoping we end up in a situation where AI is commonplace in classrooms and in which there are ways to manipulate and use the tools available to perform helpful tasks, including checking sources and learning to write.

To avoid issues moving forward, the federal Department of Education recommends emphasizing humans in the loop in regard to AI implementation, informing and involving educators in the conversation, and enhancing trust and safety, among other suggestions to build the tech into the future of learning.

We envision a technology-enhanced future more like an electric bike and less like robot vacuums, the agency website says.

On an electric bike, the human is fully aware and fully in control, but their burden is less and their effort is multiplied by a complementary technological enhancement.

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Black Women Researchers Highlight Dangers of Artificial Intelligence – Yahoo News

Women of color are warning about the potential dangers of artificial intelligence. Its a concern they have been sharing for years and one that is now being highlighted by Rolling Stone.

Although AI has helped further several technological advancements, it has also come to carry several biases and harmful consequences. Specifically as it interacts with information regarding marginalized groups. Rolling Stone profiled several trailblazing women in the AI space including two Black women Timnit Gebru, and Joy Buolamwini. They have extensive experience working in tech and even worked on the first iteration of what we know now as artificial intelligence software. They have also been calling for proper regulation around the use of AI and how its inherent biases are affecting marginalized communities as well as the rest of the world.

Gebru published a paper on the matter during AIs earlier days.

The training data has been shown to have problematic characteristics resulting in models that encode stereotypical and derogatory associations along gender, race, ethnicity, and disability status, the paper reads. White supremacist and misogynistic, ageist, etc., views are overrepresented in the training data, not only exceeding their prevalence in the general population but also setting up models trained on these datasets to further amplify biases and harms.

Artificial intelligence is permeating every facet of modern life. It is being used for educational purposes, in medical institutions, and even the most minute interactions on social media apps. These women are advocating for regulations that will ensure AI software is used responsibly. These regulations will bring nuance to the services aided by AI.

As Rolling Stone concluded in their report, There are a few things they all want us to know: AI is not magic. LLMs are not sentient beings, and they wont become sentient. And the problems with these technologies arent abstractions theyre here now and we need to take them seriously today.

AI researcher, Joy Buolamwini added that peoples lives are at stake.

But not because of some super intelligent system, Buolamwini said But because of an over-reliance on technical systems. I want people to understand that the harms are real and that theyre present.

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3 Super Speculative AI Stocks Not Worth the Risk – InvestorPlace

Except for companies like Microsoft (NASDAQ:MSFT) and Nvidia (NASDAQ:NVDA), I dont think it would be out of line for regular Investors to consider most artificial intelligence stocks to be speculative by nature. This has led to AI stocks to avoid.

After all, Microsoft itself only started emphasizing AI in 2019.

AI opens up so many possibilities. And the limits are very few, generally limited only by your imagination, Lance Olson, the companys director of program management for applied AI, said in a May 2, 2019, internal article. It doesnt need to be overwhelming for people. We are getting to the point where we can now make AI accessible to a much broader set of customers.

And, of course, with products such as Copilot, the companys AI-powered version of Microsoft 365, it has done precisely that.

However, AI leaders are few and far between. There are a lot of speculative AI stocks that wont be able to go the distance. Here are three AI stocks to avoid at all costs.

Source: Sergio Photone / Shutterstock.com

RadNet (NASDAQ:RDNT) stock is up nearly 72% in 2023. Except for a few days in July, RadNets stock hasnt consistently traded above $30 since July 2021. Before that? Never.

So, whats driving RDNT stock?

Well, you can be sure its not its 357 locations providing diagnostic imaging services across seven states. Sure, it generated $1.43 billion in annual revenue in 2022, so its not some Johnny-come-lately. However, its operating margin was 3.2%. Thats 3.2 cents for every dollar of sales.

The most its ever made was in 2021 when it earned $82.6 million in operating income from $1.32 billion in revenue, good for a 6.2% operating margin. Except for 2021 and today, RadNet stocks never traded for more than 1x sales, but here we are more than halfway through 2023, and investors are willing to pay 1.21x sales and nearly 44x earnings before interest and taxes (EBIT)

Two words: artificial intelligence.

In December 2022, the company announced that its Saige-Density mammography density assessment software had been given clearance from the Food and Drug Administration (FDA). It was the third product to receive the thumbs up from the FDA.

While Im sure the companys heart is in the right place, its AI segment lost $116.4 million in the first six months of 2023 from $4.5 million in revenue.

It mentions AI approximately 19 times in its Q2 2023 press release. We got the emphasis. This is not a business worth $2.2 billion.

Source: shutterstock.com/Tex vector

How long has LivePerson (NASDAQ:LPSN) been around? I worked in sales for a Toronto-based digital asset management startup in 2000. My boss was introduced to LivePersons services. Theyve been around in one form or another since 1998.

Although its share price is down 56% in 2023, if you measure the losses from its high of $18.17 in February, theyre off by 75% in a little over six months.

On Aug. 9, the companys shares jumped more than 13% after it reported Q2 2023 earnings that were better than analyst expectations. On the top line, its revenues were $97.52 million, $670,000 above the consensus. On the bottom line, it earned 12 cents, 50 cents better than the estimate. Throw AI on top of this, and the meme-stock investors will tell you its a $30 stock.

The companys Q2 2023 presentation talks about generative AI and its next growth stage. It points to Fast Company, naming it the most innovative AI company in the world.

LivePerson argues that the one billion or more conversational interactions its 100,000+ corporate users generate monthly through its platform, combined with generative AI and large language models (LLMs), will give its customers the edge they need to maintain superior service.

I have no idea if thats true. I know there have been many innovations in digital customer service since LivePerson first started in 1998. Yet, it last managed to generate an operating profit of $10.3 million in 2012. Its been nothing but red ink ever since.

Wait for it to prove that its got some AI chops.

Source: shutterstock.com/cono0430

To come up with some ideas for AI stocks to sell, I used the SECs Edgar search tool to find companies with annual reports that mention the word AI or artificial intelligence.

One of the names it spit out was Futuretech II Acquisition Corp. (NASDAQ:FTII), a special purpose acquisition company (SPAC) focused on acquiring a U.S. tech company, preferably one involved in AI or robotics.

We believe that we are living in a digital era where AI is poised to reshape our lives. The continuous research and innovation directed by the tech giants are driving the adoption of advanced AI technologies in industry verticals, such as automotive, healthcare, retail, finance, and manufacturing, pg. 4 of its 2022 10-K states.

Futuretech II raised $115 million in its February 2022 initial public offering. It had 12 months to find a target to merge with, or 18 monthsif the company used one or both of its three-month extensions. Shareholders werent given the right to vote on these extensions. However, the sponsors were required to deposit an additional $1.15 million into the trust account for each extension.

On May 17, 2023, it made a second payment for a second extension, which expires on Aug. 18. Unless something changes in a hurry, it looks like this bet on AI will go up in smoke with the funds in trust returned to shareholders.

On the date of publication, Will Ashworth did not have (either directly or indirectly) any positions in the securities mentioned in this article. The opinions expressed in this article are those of the writer, subject to the InvestorPlace.com Publishing Guidelines.

Will Ashworth has written about investments full-time since 2008. Publications where hes appeared include InvestorPlace, The Motley Fool Canada, Investopedia, Kiplinger, and several others in both the U.S. and Canada. He particularly enjoys creating model portfolios that stand the test of time. He lives in Halifax, Nova Scotia.

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Why firms need to scratch the surface of their AI investments – Money Management

The optimism behind disruptive artificial intelligence (AI) technology has driven markets to record highs, but experts warn there are risks and considerations that can be overlooked.

There has been a lot of talk around its many benefits across numerous sectors. According to a recent report titled, Australias Generative AI Opportunity, by Microsoft and the Tech Council of Australia, generative AI could contribute between $45 billion and $115 billion a year to Australias economy by 2030 through improving existing industries and enabling the creation of new products and services.

However, it also entails a number of environmental, social and corporate governance (ESG) concerns that range from data privacy and cyber security to job loss, misinformation and intellectual property.

The spectrum of risks arising from AI is wide, agrees Fidelity analyst and portfolio manager, Marcel Sttzel.

He said: On one end lies doomsday scenarios involving super intelligent AIs that their creators cant understand or control. More potential immediate threats include the spread of misinformation from large language models (LLMs), which are liable to hallucinate conjuring false facts or misinterpretations.

The complexity of the technology and difficulties in containing it are reflected in the efforts of regulators, which are mobilising but with little global cohesion. Industry-wide attempts to self-regulate have also gained little traction.

In May, the Centre for AI Safety (CAIS), a San Francisco-based research nonprofit, released a one sentence Statement on AI Risk, which was signed by over 100 professors of AI. It said that mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war.

Even Sam Altman, the co-founder of OpenAI, has expressed concerns and called for greater regulation of AI development, looking into compliance and safety standards, audits, and potential deployment and security concerns.

But the burden isnt just regulatory, Sttzel said.

He added: Large holders of capital have proven their ability to move the needle on existential issues by engaging with companies on ESG issues such as climate change or employee welfare, and holding firms to account for transgressions. Given the potential dangers related to artificial intelligence, now is the time for investors to assess their investees use of this powerful tool.

Speaking on a Fidante podcast, Mary Manning, portfolio manager of the Global Sustainable Fund at Alphinity, discussed the importance of considering AI from an ESG perspective.

For her, a particular concern is the development of AI to become sentient with the ability to process thoughts and feelings.

If you think about AI and the possibility of AI will become sentient at some point, if you think about that over the long term, then if we get AI wrong and robots or sentient beings start to take over, then that is a very big threat to humanity, arguably even more so than climate change.

The firm has since announced a year-long research program with Australias national science agency, Commonwealth Scientific and Industrial Research Organisation (CSIRO), that aims to identify best practices and provide a framework to assess, manage and report on responsible AI risks.

Jessica Cairns, Alphinitys head of sustainability and ESG, believes the technology has a lot of potential for good, however the governance, design and application of AI need to be undertaken in a responsible and ethical way.

Through its research so far, the firm has identified some common examples of good practices, like governance bodies to help guide the strategic direction of AI use and development; a clear AI policy or framework; and an integrated approach with existing risk management frameworks.

Although many companies see the increased use of AI as transformational, most recognise the risks around human capital and workforce, Cairns told Money Management.

For companies that are looking to deploy AI internally, we have heard that managements are focused on how they can augment different roles to reduce the amount of repetitive or mundane tasks, rather than replacing roles altogether.

Similar to the energy transition, we believe a focus on employee engagement and participation is going to be key for companies to ensure the responsible adoption of AI in the context of employee wellbeing.

Reflecting on developments in this space, Betashares director for responsible investments, Greg Liddell, recognised it is too early to predict the lasting impact of AI although there have certainly been many benefits and risks identified so far.

In terms of negatives, there has been much discussion on automation and job losses and on bots that can perpetuate biases and negativities present on the internet.

Liddell said: AI will create solutions across a range of fields and applications. It will potentially generate enormous wealth for those at the forefront of its development and implementation.

But AI needs guardrails to safeguard its development, and ethical investors need to be aware of how companies are using AI and the risks it poses.

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Expert shuts down AI hype calling it a ‘glorified tape recorder’ and … – UNILAD

Fears about what an AI can do are overblown according to a theoretical physicist who compared the technology to a 'glorified tape recorder'.

Artificial intelligence has made plenty of leaps forward in recent times but people's opinions on this emerging technology are quite divided.

However, those concerns might be a bit premature according to theoretical physicist Michio Kaku, who told CNN that many AI platforms are little more than 'glorified tape recorders'.

He said: "It takes snippets of what's on the web created by a human, splices them together and passes it off as if it created these things.

"And people are saying, 'Oh my God, its a human, its humanlike.'"

And that's rather the crux of his issue with people's concerns about AI, while they can scour the internet for things people made or be taught by humans how to mimic people, they can't create from scratch for themselves.

Kaku also said he believes the next stage of computer technology is coming and that it will be quantum computing, where a computer uses vibrating waves instead of computer chips to function.

But back on the topic of AI, while Kaku said what they have to work with 'has to be put in by a human', there are people closely connected with the development of the technology who are seriously worried about what it could end up doing.

OpenAI CEO Sam Altman estimated that within 10 years, AI would 'exceed expert skill level in most domains' and massively boost what we could do, but warned that it could lead to the creation of a 'super intelligence'.

He said that given the potential risk we were facing due to AI, governments would need to be proactive in figuring out where to draw the line in terms of safety and restrictions.

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Outrageous raid in Kansas underscores need for newsroom encryption – Freedom of the Press Foundation

Last Fridays raid of the Marion County Record has captured national and international media attention and is shining a much-needed spotlight on the erosion of press freedom in the U.S. Hopefully the raid and its tragic aftermath (the Records 98-year-old co-owner, in shock from the ordeal, died the next day) prompts the reversal of that troubling trend.

But until then, journalists and newsrooms need to adapt to the current reality that many U.S. law enforcement officers and judges from Marion to Manhattan couldn't care less about the First Amendment. And part of that adaptation means that journalists devices and communications must be encrypted.

If youre not convinced, just watch the video of the raid in Marion, which shows (at around 2:44) a police officer, while seizing multiple devices, commenting, I dont believe that this is encrypted so I think were OK.

Were not here to blame the Record theyre the victims in this fiasco (and for all we know, the officer was wrong and the devices actually were encrypted). Many journalists, especially at smaller, local news outlets like the Record, may not give much thought to the prospect of police ransacking their newsrooms and homes over routine efforts to verify news tips using public records. That's understandable, given that their newsgathering is protected by both federal and state law and the Constitution. Yet here we are.

Our Digital Security team responded to the raid with a guide for journalists and newsrooms on how to prepare for a Marion-like situation, including how you can encrypt your computers and cell phones now if they are not already.

When seizing a device, our Principal Researcher Dr. Martin Shelton wrote, law enforcement officials hope yours is unencrypted because an encrypted device is significantly more time consuming to examine without your permission. That means cops are far less likely to recover confidential source communications and newsgathering materials from an illegally seized device if it's encrypted.

Our team has also published numerous guides and resources for newsrooms looking to improve their digital security practices, through encryption and other means. And we welcome any journalists or publishers to contact us to arrange a digital security training session so we can help them adapt to the threats journalists now face.

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MongoDB Announces General Availability of End-To-End Data Encryption Technology – PR Newswire

MongoDB Queryable Encryption enables organizations to meet the strictest data-privacy requirements by providing first-of-its-kind, end-to-end data encryption

CHICAGO, Aug. 15, 2023 /PRNewswire/ -- MongoDB, Inc. (NASDAQ: MDB), today at its developer conference MongoDB.local Chicago, announced the general availability of MongoDB Queryable Encryption, a first-of-its-kind technology that helps organizations protect sensitive data when it is queried and in-use on MongoDB. MongoDB Queryable Encryption significantly reduces the risk of data exposure for organizations and improves developer productivity by providing built-in encryption capabilities for highly sensitive application workflowssuch as searching employee records, processing financial transactions, or analyzing medical recordswith no cryptography expertise required. To get started with MongoDB Queryable Encryption, visit mongodb.com/products/capabilities/security/encryption.

"Protecting data is critical for every organization, especially as the volume of data being generated grows and the sophistication of modern applications is only increasing. Organizations also face the challenge of meeting a growing number of data privacy and customer data protection requirements," said Sahir Azam, Chief Product Officer at MongoDB. "Now, with MongoDB Queryable Encryption, customers can protect their data with state-of-the-art encryption and reduce operational riskall while providing an easy-to-use capability developers can quickly build into applications to power experiences their end-users expect."

Data protection is the top priority among organizations across industries today as they face a growing number of regulations and compliance requirements to protect personally identifiable information (PII), personal health information (PHI), and other sensitive data. A common data protection capability organizations use to protect data is encryption, where sensitive information is made unreadable by cryptographic algorithms using an encryption keyand only made readable again using a decryption key customers securely manage. Data can be protected through encryption in-transit when traveling over networks, at-rest when stored, and in-use when it is being processed. However, working with encrypted data in-use poses significant challenges because it needs to be decrypted before it can be processed or analyzed. Organizations that work with highly sensitive data want to improve their security posture and meet compliance requirements by encrypting their data throughout its full lifecycleincluding while it is being queried. Until now, the only way to keep information encrypted during the entire lifecycle was to employ highly specialized teams with extensive expertise in cryptography.

With the general availability of MongoDB Queryable Encryption, customers can now secure sensitive workloads for use cases in highly regulated or data sensitive industries like financial services, health care, government, and critical infrastructure services by encrypting data while it is being processed and in-use. Customers can quickly get started protecting data in-use by selecting the fields in MongoDB databases that contain sensitive data that need to be encrypted while in-use. For example, an authorized application end-user at a financial services company may need to query records using a customer's savings account number. When configured with MongoDB Queryable Encryption, the content of the query and the data in the savings account field will remain encrypted when traveling over the network, while it is stored in the database, and while the query processes the data to retrieve relevant information. After data is retrieved, it becomes visible only to an authorized application end user with a customer-controlled decryption key to help prevent inadvertent data exposure or exfiltration by malicious actors. With MongoDB Queryable Encryption, developers can now easily implement first-of-its-kind encryption technology to ensure their applications are operating with the highest levels of data protection and that sensitive information is never exposed while it is being processedsignificantly reducing the risk of data exposure.

The MongoDB Cryptography Research Groupdeveloped the underlying encryption technology behind MongoDB Queryable Encryption, which is open source. Organizations can freely examine the cryptographic techniques and code behind the technology to help meet security and compliance requirements. MongoDB Queryable Encryption can be used with AWS Key Management Service, Microsoft Azure Key Vault, Google Cloud Key Management Service, and other services compliant with the key management interoperability protocol (KMIP) to manage cryptographic keys. The general availability of MongoDB Queryable Encryption includes support for equality queries, with additional query types (e.g., range, prefix, suffix, and substring) generally available in upcoming releases.

Since the release of MongoDB Queryable Encryption in preview last year, MongoDB has worked in partnership with customers including leading financial institutions and Fortune 500 companies in the healthcare, insurance, and automotive manufacturing industries to fine-tune the service for general availability.

Renault Group is at the forefront of a mobility that is reinventing itself. Strengthened by its alliance with Nissan and Mitsubishi Motors, and its unique expertise in electrification, Renault Group comprises four complementary brandsRenault, Dacia, Alpine, and Mobilizeoffering sustainable and innovative mobility solutions to its customers. "MongoDB Queryable Encryption is significant for ensuring data protection and security compliance," said Xin Wang, Solutions Architect at Renault. "Our teams are eager for the architecture pattern validation of Queryable Encryption and are excited about its future evolution, particularly regarding performance optimization and batch operator support. We look forward to seeing how Queryable Encryption will help meet security and compliance requirements."

About MongoDBHeadquartered in New York, MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. Built by developers, for developers, our developer data platform is a database with an integrated set of related services that allow development teams to address the growing requirements for today's wide variety of modern applications, all in a unified and consistent user experience. MongoDB has tens of thousands of customers in over 100 countries. The MongoDB database platform has been downloaded hundreds of millions of times since 2007, and there have been millions of builders trained through MongoDB University courses. To learn more, visit mongodb.com.

Forward-looking StatementsThis press release includes certain "forward-looking statements" within the meaning of Section 27A of the Securities Act of 1933, as amended, or the Securities Act, and Section 21E of the Securities Exchange Act of 1934, as amended, including statements concerning MongoDB's technology and offerings. These forward-looking statements include, but are not limited to, plans, objectives, expectations and intentions and other statements contained in this press release that are not historical facts and statements identified by words such as "anticipate," "believe," "continue," "could," "estimate," "expect," "intend," "may," "plan," "project," "will," "would" or the negative or plural of these words or similar expressions or variations. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations or strategies will be attained or achieved. Furthermore, actual results may differ materially from those described in the forward-looking statements and are subject to a variety of assumptions, uncertainties, risks and factors that are beyond our control including, without limitation: the impact the COVID-19 pandemic may have on our business and on our customers and our potential customers; the effects of the ongoing military conflict between Russia and Ukraine on our business and future operating results; economic downturns and/or the effects of rising interest rates, inflation and volatility in the global economy and financial markets on our business and future operating results; our potential failure to meet publicly announced guidance or other expectations about our business and future operating results; our limited operating history; our history of losses; failure of our platform to satisfy customer demands; the effects of increased competition; our investments in new products and our ability to introduce new features, services or enhancements; our ability to effectively expand our sales and marketing organization; our ability to continue to build and maintain credibility with the developer community; our ability to add new customers or increase sales to our existing customers; our ability to maintain, protect, enforce and enhance our intellectual property; the growth and expansion of the market for database products and our ability to penetrate that market; our ability to integrate acquired businesses and technologies successfully or achieve the expected benefits of such acquisitions; our ability to maintain the security of our software and adequately address privacy concerns; our ability to manage our growth effectively and successfully recruit and retain additional highly-qualified personnel; and the price volatility of our common stock. These and other risks and uncertainties are more fully described in our filings with the Securities and Exchange Commission ("SEC"), including under the caption "Risk Factors" in our Quarterly Report on Form 10-Q for the quarter ended April 30, 2023, filed with the SEC on June 2, 2023 and other filings and reports that we may file from time to time with the SEC. Except as required by law, we undertake no duty or obligation to update any forward-looking statements contained in this release as a result of new information, future events, changes in expectations or otherwise.

Media RelationsMongoDB[emailprotected]

SOURCE MongoDB, Inc.

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Apple’s Stock Top Legal News Today: US iPhone Settlement and UK Encryption Controversies – Apple (NASDAQ: – Benzinga

August 16, 2023 6:52 PM | 1 min read

Apple Inc.(NASDAQ:AAPL) is making headlines today with significant legal developments. Here are the top two stories related to the tech giant:

U.S. Court Clears Path for iPhone Settlement Payments:

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The United States Court of Appeals for the 9th Circuit has given the go-ahead for payments to be disbursed to members of a class action lawsuit against Apple.

The lawsuit alleged that Apple intentionally reduced the performance of iPhones with older batteries.

In a settlement reached in March 2020, Apple consented to pay between $310 million to $500 million. Eligible iPhone owners who filed claims before the October 2020 deadline are set to receive around $65.

This settlement follows accusations from 2018 where Apple was alleged to have slowed down iPhone performance due to battery wear, a claim which Apple refuted,ABC7 Newsreports.

Apple's Stance on U.K.'s Online Safety Bill:

The U.K.'s Online Safety Bill has stirred concerns among major tech companies, including Apple. The legislation, aimed at safeguarding children from harmful online content, mandates tech companies to provide backdoor access, potentially compromising encryption.

Transitioning from decentralized peer-to-peer encryption to a centralized system could introduce vulnerabilities in private communications.

Apple has voiced its reservations, indicating a preference to withdraw services like FaceTime and iMessage from the U.K. rather than compromise their security.

Engineers might face challenges adapting to the loss of decentralized messaging, leading to potential alternative solutions such as integrating messaging systems within IoT apps or resorting to VPN networks,Techradarreports.

Disclaimer:This article was developed with the aid of artificial intelligence and Ultima Insights and underwent an editorial review.

2023 Benzinga.com. Benzinga does not provide investment advice. All rights reserved.

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Apple's Stock Top Legal News Today: US iPhone Settlement and UK Encryption Controversies - Apple (NASDAQ: - Benzinga

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Enhancing TLS Security: Google Adds Quantum-Resistant … – The Hacker News

Aug 11, 2023THNEncryption / Browser Security

Google has announced plans to add support for quantum-resistant encryption algorithms in its Chrome browser, starting with version 116.

"Chrome will begin supporting X25519Kyber768 for establishing symmetric secrets in TLS, starting in Chrome 116, and available behind a flag in Chrome 115," Devon O'Brien said in a post published Thursday.

Kyber was chosen by the U.S. Department of Commerce's National Institute of Standards and Technology (NIST) as the candidate for general encryption in a bid to tackle future cyber attacks posed by the advent of quantum computing. Kyber-768 is roughly the security equivalent of AES-192.

The encryption algorithm has already been adopted by Cloudflare, Amazon Web Services, and IBM.

X25519Kyber768 is a hybrid algorithm that combines the output of X25519, an elliptic curve algorithm widely used for key agreement in TLS, and Kyber-768 to create a strong session key to encrypt TLS connections.

"Hybrid mechanisms such as X25519Kyber768 provide the flexibility to deploy and test new quantum-resistant algorithms while ensuring that connections are still protected by an existing secure algorithm," O'Brien explained.

While it's expected to take several years, possibly even decades, for quantum computers to pose severe risks, certain kinds of encryption are susceptible to an attack called "harvest now, decrypt later" (aka retrospective decryption) in which data that's encrypted today is harvested by threat actors in hopes of decrypting it later when cryptanalysis becomes easier due to technological breakthroughs.

This is where quantum computers come in, as they are capable of efficiently performing certain computations in a manner that can trivially defeat existing cryptographic implementations.

"In TLS, even though the symmetric encryption algorithms that protect the data in transit are considered safe against quantum cryptanalysis, the way that the symmetric keys are created is not," O'Brien said.

"This means that in Chrome, the sooner we can update TLS to use quantum-resistant session keys, the sooner we can protect user network traffic against future quantum cryptanalysis."

Organizations that face network appliance incompatibility issues following the rollout are advised to disable X25519Kyber768 in Chrome using the PostQuantumKeyAgreementEnabled enterprise policy, which is available starting in Chrome 116, as a temporary measure.

The development comes as Google said it's changing the release cadence of Chrome security updates from bi-weekly to weekly to minimize the attack window and address the growing patch gap problem that allows threat actors more time to weaponize published n-day and zero-day flaws.

"Bad actors could possibly take advantage of the visibility into these fixes and develop exploits to apply against browser users who haven't yet received the fix," Amy Ressler from the Chrome Security Team said. "That's why we believe it's really important to ship security fixes as soon as possible, to minimize this 'patch gap.'"

It also follows the company's decision to enforce key pinning by default in Chrome 106 for Android, released in September 2022, as a layer of defense to secure users against certificate authority (CA) compromise.

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How To Enable Encryption For Your WhatsApp Chat Backup On … – SlashGear

While encrypting your WhatsApp backup on Google Drive or iCloud safeguards your chats, certain circumstances might force you to disable encryption. This may especially apply when moving your WhatsApp chats from Android to iOS or vice-versa.

Follow these steps to disable WhatsApp backup encryption:

If you lose the encryption key or forget your password, youcan still remove encryption from your WhatsApp backup. This is possible because the encryption key is stored in your phone locally and can be accessed using biometric authentication. Here's what you need to do:

It is worth noting that while the steps above can be used to reset the encryption password or 64-digit key, you cannot recover your backup while setting up WhatsApp afresh on a new phone. There is no way to remove encryption without accessing the previous key stored on your phone, which is a good reason to reset your password before migrating to a new phone if you have forgotten it.

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