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 ...

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

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, ...

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 ...

Protein language models are artificial intelligence tools which help engineer proteins with useful properties, including ...

When a list of pros and cons won't cut it, a new decision-making tool developed by Cornell researchers can use artificial ...

An AI tool has made a step forward in translating the language proteins use to dictate whether they form sticky clumps similar to those linked to Alzheimer's Disease and around fifty other types of ...

American insurers are being urged not to drag their feet on ensuring their use of AI is “explainable,” as regulators and consumers alike begin to demand it. “It’s not like this is a future issue. The ...