Reisch is the co-founder of Tessel, a company rethinking how people interact with AI models today. "Most companies treat models like fixed black-box systems," he says. "But we can do so much more ...

While the precedent set by Recentive Analytics, Inc. v. Fox Corp.[1] presents a formidable challenge, it does not represent a complete foreclosure ...

Overcoming black box AI with ML observability tools As we addressed in the previous section, transparency of an ML model is only with respect to a given agent, the relevant recipient of a piece of ...

By Bismark SAKYIThe promise of artificial intelligence (AI) and machine learning (ML) to revolutionise anti-money laundering (AML) programmes has dominated headlines in recent years.From reducing ...

Why AI black boxes matter In many cases, there is good reason to be wary of black box machine-learning algorithms and models. Suppose a machine-learning model has made a diagnosis about your health.

When you use a machine learning model that is published online, say on GitHub, you’re using a “white box” model. Everyone else can see the model’s architecture and parameters, including ...

An AI glass box is a system whose algorithms, training data and model are all available for anyone to see. But researchers sometimes characterize aspects of even these as black box.