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Machine unlearning: Researchers make AI models ‘forget’ data

AI News

Researchers from the Tokyo University of Science (TUS) have developed a method to enable large-scale AI models to selectively “forget” specific classes of data. Progress in AI has provided tools capable of revolutionising various domains, from healthcare to autonomous driving.

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Who Is Responsible If Healthcare AI Fails?

Unite.AI

Who is responsible when AI mistakes in healthcare cause accidents, injuries or worse? Depending on the situation, it could be the AI developer, a healthcare professional or even the patient. Liability is an increasingly complex and serious concern as AI becomes more common in healthcare. AI Gone Wrong: Who’s to Blame?

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Enhancing AI Transparency and Trust with Composite AI

Unite.AI

The adoption of Artificial Intelligence (AI) has increased rapidly across domains such as healthcare, finance, and legal systems. However, this surge in AI usage has raised concerns about transparency and accountability. Composite AI is a cutting-edge approach to holistically tackling complex business problems.

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How Do Inherently Interpretable AI Models Work? — GAMINET

Towards AI

Last Updated on December 21, 2023 by Editorial Team Author(s): Indraneel Dutta Baruah Originally published on Towards AI. The models are becoming more and more complex with deeper layers leading to greater accuracy. The models are becoming more and more complex with deeper layers leading to greater accuracy.

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#48 Interpretability Might Not Be What Society Is Looking for in AI

Towards AI

Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! This week, we are diving into some very interesting resources on the AIblack box problem’, interpretability, and AI decision-making. Learn AI Together Community section! AI poll of the week!

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How Large Language Models Are Unveiling the Mystery of ‘Blackbox’ AI

Unite.AI

AI is becoming a more significant part of our lives every day. But as powerful as it is, many AI systems still work like black boxes. People want to know how AI systems work, why they make certain decisions, and what data they use. The more we can explain AI, the easier it is to trust and use it.

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Is Rapid AI Adoption Posing Serious Risks for Corporations?

ODSC - Open Data Science

This is a promising shift for AI developers, and many organizations have realized impressive benefits from the technology, but it also comes with significant risks. AI’s rapid growth could lead more companies to implement it without fully understanding how to manage it safely and ethically. What Risks Does AI Pose to Corporations?