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

Unite.AI

This simplicity opens the door for people from all kinds of backgrounds to interact with AI and see how it works. By making explainable AI more approachable, LLMs can help people understand the workings of AI models and build trust in using them in their work and daily lives.

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Who Is Responsible If Healthcare AI Fails?

Unite.AI

At the root of AI mistakes like these is the nature of AI models themselves. Most AI today use “black box” logic, meaning no one can see how the algorithm makes decisions. Black box AI lack transparency, leading to risks like logic bias , discrimination and inaccurate results.

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

Towards AI

This week, we are diving into some very interesting resources on the AIblack box problem’, interpretability, and AI decision-making. Parallely, we also dive into Anthropic’s new framework for assessing the risk of AI models sabotaging human efforts to control and evaluate them. Enjoy the read!

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The Hidden Risks of DeepSeek R1: How Large Language Models Are Evolving to Reason Beyond Human Understanding

Unite.AI

The primary appeal of the model is its ability to handle complex reasoning tasks with high efficiency at a lower cost. It excels in performing logic-based problems, processing multiple steps of information, and offering solutions that are typically difficult for traditional models to manage.

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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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Is Rapid AI Adoption Posing Serious Risks for Corporations?

ODSC - Open Data Science

Security and Compliance Cybersecurity is one of the biggest risks of rising AI adoption. These models require substantial amounts of data, and many organizations use “black boxmodels where they’re unsure of how the system uses the information they give it.