The study suggests that the absence of explanations undermined trust, prompting human operators to dismiss AI-generated ...

Researchers from chemistry, biology, and medicine are increasingly turning to AI models to develop new hypotheses. However, ...

A Culture of Responsibility: No matter how advanced your tools are, it’s people who make ethical decisions. Provide regular ...

It’s now possible to scale ZK-proofs for end-to-end model fairness, ensuring AI systems adhere to anti-discrimination laws ...

As increasing use cases of AI in insurance add urgency to the need for explainability, experts are recommending best practices.

American insurers are being urged not to drag their feet on ensuring their use of AI is “explainable” to regulators and consumers.

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. In past roles, I’ve spent countless hours trying to understand why state-of-the-art ...

Trust in AI models is about more than just technical performance - ethical principles and human values are equally important.

Explainable AI is used throughout the credit process: Risk Assessment: Helping banks identify potential default risks with ...

Artificial intelligence trust, safety, security and compliance technology startup AIceberg Inc. today announced that it has raised $10 million in new funding and launched its AI trust platform ...