Remove Black Box AI Remove ChatGPT Remove Explainability
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Machine unlearning: Researchers make AI models ‘forget’ data

AI News

Progress in AI has provided tools capable of revolutionising various domains, from healthcare to autonomous driving. The paradigm of large-scale pre-trained AI systems, such as OpenAIs ChatGPT and CLIP (Contrastive LanguageImage Pre-training), has reshaped expectations for machines.

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

Towards AI

AI poll of the week! Many of you seem excited about ChatGPT’s web search capabilities. Personally, I’m also excited about an ad-free search experience, but curious to know your thoughts on ChatGPT automatically choosing to search the web based on what you ask. Let’s chat in the Discord thread!

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Using AI for Predictive Analytics in Aviation Safety

Aiiot Talk

When developers and users can’t see how AI connects data points, it is more challenging to notice flawed conclusions. Black-box AI poses a serious concern in the aviation industry. In fact, explainability is a top priority laid out in the European Union Aviation Safety Administration’s first-ever AI roadmap.

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How Do Inherently Interpretable AI Models Work? — GAMINET

Towards AI

Source: interpretable-ml-book The field of deep learning has grown exponentially and the recent craze about ChatGPT is proof of the same. It is very risky to apply these black-box AI systems in real-life applications, especially in sectors like banking and healthcare. arXiv: 2003.07132 where n is the sample size.