All posts by admin

20Apr/23

Health data: who owns it?

By Adam Smith | Tech correspondent

April 20, 2023 /Thomson Reuters Foundation/ — U.S. data analytics firm Palantir is bidding to provide Britain’s National Health Service with software across the system – a move which has raised concerns from data specialists and advocates.

Palantir, founded by U.S. billionaire Peter Thiel, was the NHS data analytics provider during the pandemic and is currently bidding for a £480 million contract for a “federated data platform”.
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20Apr/23

Square Software Turns Android Devices Into Powerful Payment Technology

SAN FRANCISCO–(BUSINESS WIRE)–Square today launched Tap to Pay on Android for sellers across the U.S., Australia, Ireland, France, Spain, and the United Kingdom. The new technology empowers sellers to securely accept contactless payments with a compatible Android device, and at no additional cost.
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20Apr/23

Why universities should return to oral exams in the AI and ChatGPT era

Stephen Dobson, CQUniversity Australia

Imagine the following scenario.

You are a student and enter a room or Zoom meeting. A panel of examiners who have read your essay or viewed your performance, are waiting inside.

You answer a series of questions as they probe your knowledge and skills. You leave. The examiners then consider the preliminary pre-oral exam grade and if an adjustment up or down is required.

You are called back to receive your final grade.

This type of oral assessment – or viva voce as it was known in Latin – is a tried and tested form of educational assessment.

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20Apr/23

How to claim your share of Facebook privacy settlement

April 20, 2023 /Legal/ — If you were a Facebook user in the United States between May 2007 and December 2022, you may be eligible to receive a share of a $725 million settlement between Facebook and the Federal Trade Commission (FTC). The settlement resolves allegations that Facebook violated the FTC’s privacy law by failing to adequately protect the privacy of its users.
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20Apr/23

What Large Language Models (or LLMs) are, how they are developed, and how they work.

April 19, 2023 /Technology/ — A large language model (LLM) is a type of artificial intelligence (AI) that is trained on a massive amount of text data. This data can be anything from books and articles to social media posts and code. LLMs are able to learn the statistical relationships between words and phrases, which allows them to generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way. LLMs can be used for a variety of tasks, including: Continue reading

20Apr/23

How organizations are using crowdsourcing to improve AI systems

April 20, 2023 /Technology/ –Crowdsourcing is the process of obtaining information or services from a large group of people, typically via the internet. Crowdsourcing is a powerful tool that can be used to ensure that AI systems are accurate, unbiased, and meet the needs of the people who will be using them. There are a number of ways that organizations are using crowdsourcing to achieve these goals.

One way that organizations are using crowdsourcing is to collect data. This data can be used to train AI systems to perform tasks such as facial recognition, speech recognition, and language translation. Crowdsourcing can be used to collect a wide variety of data, including images, text, and audio. This data can be collected from a large number of people, which helps to ensure that the data is accurate and representative of the real world.
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20Apr/23

It is possible that AI training data could be banned by data regulators

April 20, 2023 /Technology/ –It is possible that AI training data could be banned by data regulators like the EU’s General Data Protection Regulation (GDPR). The GDPR is a comprehensive privacy law that gives individuals control over their personal data. The law also requires companies to obtain consent from individuals before collecting or using their personal data.

AI training data often contains personal data, such as images, videos, and text. This data can be used to train AI models to perform tasks such as facial recognition, natural language processing, and object detection. However, the collection and use of AI training data can raise privacy concerns. For example, individuals may not be aware that their personal data is being used to train AI models. They may also not be aware of how their personal data is being used or who has access to it.
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20Apr/23

AI generated interview with Michael Schumacher

April 19, 2023 /Sports/ — The Schumacher family is likely planning legal action against the German magazine for a number of reasons. First, the interview was published without the family’s consent. Second, the interview is likely to be seen as an invasion of Schumacher’s privacy. Third, the interview could be seen as misleading or fraudulent, as it gives the impression that Schumacher has given an interview when he has not.

The legal implications of this case are still unclear. It is possible that the family could sue the magazine for copyright infringement, invasion of privacy, or fraud. It is also possible that the magazine could be fined or even face criminal charges.
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19Apr/23

Guidelines on how best to utilize AI tools for coding

April 19, 2023 /Technology/ — There are a few guidelines on how best to utilize AI tools for coding. Overall, AI tools can be a valuable asset for programmers. However, it is important to use them wisely and to be aware of their limitations. Here are a few tips: Continue reading

19Apr/23

Class Action Accuses Apple, Goldman Sachs of Discriminating Against Married Women Who Apply for Apple Card

April 19, 2023 /Legal/ –The issue of Apple and Goldman Sachs discriminating against married women who apply for Apple Card escalated after a number of women came forward with their stories. These women said that they were offered lower credit limits than their husbands, even though they had similar credit scores and income. Some of the women said that they were even denied credit altogether.

The women who came forward with their stories said that they were frustrated and angry. They felt like they were being discriminated against because of their gender. They also felt like Apple and Goldman Sachs were not taking their concerns seriously. Continue reading