Building and scaling AI with trust and transparency is crucial for any organization. For explainable AI (XAI) to be effective, it must enable transparency, explain the predictions and algorithm and ...

This course explores the field of Explainable AI (XAI), focusing on techniques to make complex machine learning models more transparent and interpretable. Students will learn about the need for XAI, ...

Protein language models are artificial intelligence tools which help engineer proteins with useful properties, including completely new structures never seen before in nature.

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A novel tool has emerged from the depths of AI research, seeking to demystify the inner workings of artificial intelligence systems. Shedding Light on the "Black Box" of AI Developed by experts at ...

A new AI tool from Cornell researchers helps you make better decisions by spotting contradictions between your stated values ...

A new review paper published in AI & Society finds that research on how people form mental models of AI - the internal ...