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Artificial Intelligence is the most trending topic in technology for quite a while now. As I said in many of my previous articles, AI is the future. Naturally, theres been a lot of news about AI across the internet. Some of it is true and reliable and some are myths, some are assumptions, and some are hypotheses. However, there are a few more facts about AI that are not frequently heard. AI in all its potential and popularity still holds many secrets under its wing. Lets look at some of them.

Branches of AI:

The application of computer recognition, reasoning, and action is known as artificial intelligence. It ultimately comes down to giving computers the ability to mimic human behavior, particularly cognitive ability. Data science, machine learning, and artificial intelligence are all connected, though.

We will become knowledgeable about artificial intelligence and its six main branches as the first point of this blog.

What Artificial Intelligence cant do:

The wonders that modern artificial intelligence is capable of are astonishing. It is capable of creating breath-taking creative content, including poetry, text, pictures, music, and human faces. It is capable of making medical diagnoses that are more precise than those made by a human doctor. It produced a solution to the protein folding problem, a major biological conundrum that has baffled academics for fifty years.

However, there are still important constraints for modern AI. Artificial intelligence (AI) still has a long way to go before it can accomplish what we would anticipate from a really intelligent agent that is, when compared to human cognition, the initial inspiration and standard for AI.

AI problems you should know:

We must be aware of the benefits and difficulties of adopting AI as consumers and developers of AI technology. Understanding the specifics of any technology enables the user or developer to both minimize the risks associated with it and maximize its benefits.

Understanding how a developer should approach or deal with AI issues in the actual world is crucial. The use of AI technologies must be viewed as a friend, not a threat.

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Artificial Intelligence is the most trending topic in technology for quite a while now. - Medium

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The idea of Pepper Content germinated in a dormitory of BITS, Pilani. The story of the founders was similar to that of average Indian teenagers who wanted to pursue engineering.

The founders realized a shared passion for content. It was clear that for brands, smartphones and the Internet had changed the principles of customer engagement and experience principles. More than 700 million Internet users, businesses included, were accessing and consuming different forms of content daily. However, access to quality content was not as easy.

"We asked ourselves that if, in this instant noodle economy, items like food and medicine get ordered and delivered at the tap of a button, then why can't content be treated and delivered the same way? Every company in the world has a content need. In today's day and age, this opportunity stands at a staggering $400 billion globally. This was when we began the B2B content marketplace, Pepper Content, in 2017," said Anirudh Singla, co-founder and CEO, Pepper Content.

The co-founders with limited resources, ongoing classes, assignments, and exams, persisted in achieving their dreams. In 2017, the company received its first order of 250 articles on automotives. Pepper Content enables marketers to connect with the best writers, designers, translators, videographers, editors, and illustrators, and vets the marketplace's creative professionals using its AI algorithms to make the right match between business and creative professionals. To support its creators, Pepper Content has invested in building tools that augment their ability and make them more productive, and one of its key products Peppertype.ai is currently being used by over 200,000 users across 150 countries. The company has on-boarded over 1,000 enterprises and fast-growing startups, and works with over 2,500 customers, including organizations such as Adani Enterprises, NPS Trust, Hindustan Unilever, P&G; financial services, and insurance companies such as HDFC Bank, CRED, Groww, SBI Mutual Fund, TATA Capital, and technology firms such as Binance, Google, and Adobe.

According to the co-founders, Pepper Content is not a startup or an agency but a platform that connects people seamlessly. The company aims to create the perfect symphony between creators and brands when it comes to content. The company is enabling strategic collaboration that will have a tangible, on-ground impact.

The co-founders always wanted to take a product-first approach which meant understanding the nuances and solving for every use case. The first products were hyper-customised sheets with deep linking of formulae and scripts that enabled the company to piece together workflows. The team worked on 25,000 content pieces on Google sheets and docs in the initial stages that helped the co-founders understand the customer workflow.

Businesses can directly order quality content on the platform with faster turnaround times and complete transparency on the project's progress. The company's intelligent algorithms take care of all the management aspects: from finding the best creator-project match to running agile workflows and driving integrated tool-supported editorial checks for quality content delivery.

"The content marketing industry stands at $400 billion, globally and it is only going to scale further. However, no organised players are enabling seamless workflow for brands. Every company produces and outsources content in written, image, audio, and video formats. To date, companies are required to post requirements, bid for projects and choose from a large list of bidders, and negotiate pay, making it cumbersome and, frankly, unscalable. We are solving this by offering a managed marketplace. We take care of entire content operations, right from the ordering flow to end-to-end delivery. For companies, quality content delivery creates trust and for creators, takes care of timely payments and operational inefficiencies," said Rishabh Shekhar, co-founder and COO, Pepper Content.

The co-founders struggled in the initial days since they did not know anyone from the investor community. "We cold-emailed 80 VC and angel investors! There were a lot of questions and conversations about the company's scale and our age. It took us three months but we persisted and were oversubscribed for the seed funding round. Over the years we scaled a B2B content marketplace, built a product that was unheard of, and have credible investors backing us. We realized that age is no hindrance if your vision is clear and you have a product that creates real impact."

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Artificial Intelligence Revolutionizing Content Writing - Entrepreneur

It started with a single tweet in November 2019. David Heinemeier Hansson, a high-profile tech entrepreneur, lashed out at Apples newly launched credit card, calling it sexist for offering his wife a credit limit 20 times lower than his own.

The allegations spread like wildfire, with Hansson stressing that artificial intelligence now widely used to make lending decisions was to blame. It does not matter what the intent of individual Apple reps are, it matters what THE ALGORITHM theyve placed their complete faith in does. And what it does is discriminate. This is fucked up.

While Apple and its underwriters Goldman Sachs were ultimately cleared by US regulators of violating fair lending rules last year, it rekindled a wider debate around AI use across public and private industries.

Politicians in the European Union are now planning to introduce the first comprehensive global template for regulating AI, as institutions increasingly automate routine tasks in an attempt to boost efficiency and ultimately cut costs.

That legislation, known as the Artificial Intelligence Act, will have consequences beyond EU borders, and like the EUs General Data Protection Regulation, will apply to any institution, including UK banks, that serves EU customers. The impact of the act, once adopted, cannot be overstated, said Alexandru Circiumaru, European public policy lead at the Ada Lovelace Institute.

Depending on the EUs final list of high risk uses, there is an impetus to introduce strict rules around how AI is used to filter job, university or welfare applications, or in the case of lenders assess the creditworthiness of potential borrowers.

EU officials hope that with extra oversight and restrictions on the type of AI models that can be used, the rules will curb the kind of machine-based discrimination that could influence life-altering decisions such as whether you can afford a home or a student loan.

AI can be used to analyse your entire financial health including spending, saving, other debt, to arrive at a more holistic picture, Sarah Kocianski, an independent financial technology consultant said. If designed correctly, such systems can provide wider access to affordable credit.

But one of the biggest dangers is unintentional bias, in which algorithms end up denying loans or accounts to certain groups including women, migrants or people of colour.

Part of the problem is that most AI models can only learn from historical data they have been fed, meaning they will learn which kind of customer has previously been lent to and which customers have been marked as unreliable. There is a danger that they will be biased in terms of what a good borrower looks like, Kocianski said. Notably, gender and ethnicity are often found to play a part in the AIs decision-making processes based on the data it has been taught on: factors that are in no way relevant to a persons ability to repay a loan.

Furthermore, some models are designed to be blind to so-called protected characteristics, meaning they are not meant to consider the influence of gender, race, ethnicity or disability. But those AI models can still discriminate as a result of analysing other data points such as postcodes, which may correlate with historically disadvantaged groups that have never previously applied for, secured, or repaid loans or mortgages.

And in most cases, when an algorithm makes a decision, it is difficult for anyone to understand how it came to that conclusion, resulting in what is commonly referred to as black-box syndrome. It means that banks, for example, might struggle to explain what an applicant could have done differently to qualify for a loan or credit card, or whether changing an applicants gender from male to female might result in a different outcome.

Circiumaru said the AI act, which could come into effect in late 2024, would benefit tech companies that managed to develop what he called trustworthy AI models that are compliant with the new EU rules.

Darko Matovski, the chief executive and co-founder of London-headquartered AI startup causaLens, believes his firm is among them.

The startup, which publicly launched in January 2021, has already licensed its technology to the likes of asset manager Aviva, and quant trading firm Tibra, and says a number of retail banks are in the process of signing deals with the firm before the EU rules come into force.

The entrepreneur said causaLens offers a more advanced form of AI that avoids potential bias by accounting and controlling for discriminatory correlations in the data. Correlation-based models are learning the injustices from the past and theyre just replaying it into the future, Matovski said.

He believes the proliferation of so-called causal AI models like his own will lead to better outcomes for marginalised groups who may have missed out on educational and financial opportunities.

It is really hard to understand the scale of the damage already caused, because we cannot really inspect this model, he said. We dont know how many people havent gone to university because of a haywire algorithm. We dont know how many people werent able to get their mortgage because of algorithm biases. We just dont know.

Matovski said the only way to protect against potential discrimination was to use protected characteristics such as disability, gender or race as an input but guarantee that regardless of those specific inputs, the decision did not change.

He said it was a matter of ensuring AI models reflected our current social values and avoided perpetuating any racist, ableist or misogynistic decision-making from the past. Society thinks that we should treat everybody equal, no matter what gender, what their postcode is, what race they are. So then the algorithms must not only try to do it, but they must guarantee it, he said.

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While the EUs new rules are likely to be a big step in curbing machine-based bias, some experts, including those at the Ada Lovelace Institute, are pushing for consumers to have the right to complain and seek redress if they think they have been put at a disadvantage.

The risks posed by AI, especially when applied in certain specific circumstances, are real, significant and already present, Circiumaru said.

AI regulation should ensure that individuals will be appropriately protected from harm by approving or not approving uses of AI and have remedies available where approved AI systems malfunction or result in harms. We cannot pretend approved AI systems will always function perfectly and fail to prepare for the instances when they wont.

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Risks posed by AI are real: EU moves to beat the algorithms that ruin lives - The Guardian

CHICAGO (PRWEB) August 09, 2022

The League for Innovation in the Community College today announced a new initiative that will provide institutions and instructors with instructional technology powered by artificial intelligence (AI), along with faculty development resources and ongoing research, to further student retention.

Created through a unique partnership with Packback, builders of AI-enabled digital writing tutors for students and digital grading assistants for faculty, the initiative will pair Packbacks popular instructional technology with League-sponsored professional development opportunities, including badges awarded to faculty that recognize exceptional instructor engagement.

As remote and hybrid learning become the new normal, we have a unique opportunity to explore how new tools and strategies can help instructors spend less time on rote tasks like grading and more time providing our students with substantive support, said Kathleen D. Borbee, Professor of Business Administration at Monroe Community College. We know that written discussions and cases can play a significant role in developing students' critical thinking skills while keeping them engaged and motivated. I am excited that the League can give me the tools as an instructor to better meet the needs of my students.

The initiative stems from the work of the Leagues recent project Faculty Voices, which identified challenges that community college faculty face in their efforts to help more students complete their education. Recent Faculty Voices research found that community college instructors are interested in conducting more high-impact practices that could improve student retention but are held back by how time- and resource-intensive those practices are. In response to that challenge, the League will provide instructors with technology through this partnership with Packback, as well as the professional development and recognition to help them drive meaningful improvements to student success.

Our faculty are immensely important keys to improving student success, and with the right support systems can help students achieve even greater learning. We are interested in researching how reimagining faculty time can unlock more high-impact feedback to have a profound effect on student performance with our participating colleges, said Dr. Cynthia Wilson, Vice President for Learning and Chief Impact Officer at the League for Innovation. The Packback teams commitment to rigorous, research-backed pedagogical approaches have made them a valuable partner in our effort to provide community college instructors with the resources to lead engaging class experiences.

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About Packback:Packback is a digital writing tutor for every student, along with a digital grading assistant for every teacher. A recent study conducted in partnership with 10 community colleges indicates that students in classes that use Packback received more A, B, C grades and fewer D, F, W's than the control group, and also cited sources approximately 2.5 times as often as students in the control group.

About The League for Innovation in the Community College:The League for Innovation in the Community College is an international nonprofit organization with a mission to cultivate innovation in the community college environment. The League serves as a catalyst for introducing and sustaining deep, transformational innovation within and across colleges and international borders to increase student success and institutional excellence. Founded in 1968 by B. Lamar Johnson and a dozen U.S. community and technical college presidents, the League has proudly served community college institutions for over 50 years. Through these years, the League has sponsored more than 200 conferences, institutes, seminars, and workshops; published over 200 reports, monographs, periodicals, and books; led more than 160 research and demonstration projects; and provided numerous other resources and services to the community college field.

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Nationwide Initiative Will Help Community College Faculty Utilize Artificial Intelligence to Improve Student Success - PR Web

August 9, 2022 Bot Image, anOmaha-based MRI medical device company has developed an AI-driven medical device CAD software to significantly improve the accuracy and speed ofprostate cancerdetection (CADe) and diagnosis (CADx). The tool, calledProstatID, combines artificial intelligence with traditional MRI scanning.

"Prostate cancer screening and detection methods adoption has changed little over the past 30 years, despite the mountain of evidence pointing to the efficacy of superior technologies and the futility of the old methods," says the company founder and CEO Dr.Randall W. Jones. "Sadly, this has resulted in the unnecessary and premature deaths of countless numbers of men in the US alone. ProstatID represents an exciting step in the fight to save lives."

Trained by analyzing thousands ofMRIimage sets, radiological interpretations, guided biopsies, and pathology lab results, the software's algorithm recognizes and measures the volume of the prostate gland, and detects suspicious cancerous lesions - assigning a cancer probability to each one, and suggests a diagnostic case score known as PI-RADS (Prostate Imaging Reporting and Data Sytem) score. This was proven in two clinical studies (involving 25 radiologists from around the US) to significantly improve radiologic interpretation accuracy as measured by improved detection and fewer false positives when radiologists used the aid of the CAD. This demonstrates a tremendous savings of time and cost for the patient and provider, potentially saving lives in the process via early and accurate detection.

ProstatID's ability to detect lesions and assign a cancer probability to prostate MRI cases goes far beyond existing technologies which have improved on-screen formatting of prostate MRI cases and segmentations of a patient's prostate but stopped short of aiding in detection and diagnosis.

The computer-aided design tool is currently available for use as a Software-as-a-service (SaaS) device which requires only a secure VPN tunnel connection between the radiology department server or MRI system and the cloud-based ProstatID server. The software and connectivity are both HIPAA compliant and cyber-secure.

"With FDA clearance, the path for implementation is open", says Jones, "and hospitals and radiological clinics can connect in as little as one hour of IT effort, and begin bringing this exciting technology to their patients".

For more information:https://www.botimageai.com/

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Bot Image, Receives FDA Clearance for Artificial Intelligence Software Used in Detection and Diagnosis of Prostate Cancer - Imaging Technology News