Remove AI Modeling Remove Artificial Intelligence Remove Black Box AI
article thumbnail

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.

article thumbnail

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

Unite.AI

In the race to advance artificial intelligence, DeepSeek has made a groundbreaking development with its powerful new model, R1. Renowned for its ability to efficiently tackle complex reasoning tasks, R1 has attracted significant attention from the AI research community, Silicon Valley , Wall Street , and the media.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

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.

article thumbnail

#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!

article thumbnail

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.

article thumbnail

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.

article thumbnail

How Do Inherently Interpretable AI Models Work? — GAMINET

Towards AI

The models are becoming more and more complex with deeper layers leading to greater accuracy. It is very risky to apply these black-box AI systems in real-life applications, especially in sectors like banking and healthcare. One issue with this current trend is the focus on interpretability is lost at times.