This closed-loop degradation is driven by a foundational flaw in algorithmic auditing: the unchecked amplification of systemic bias. When machine learning models train on synthetic data generated by ...

A class-action lawsuit alleges gas station companies operating in California used algorithmic pricing software to set prices ...

Abracadabra’s MIM stablecoin took a major reputation and valuation hit today June 12 as it fell as low as $0.87 across ...

For corporate compliance officers struggling to define your role in AI governance at your employer, the U.S. Justice Department just did you a ...

Deploying autonomous systems within heavily regulated sectors introduces compliance, operational and financial risks that must be addressed.

Society increasingly uses algorithms to make weighty decisions in contexts including criminal justice, health care, and finance, a trend that has been criticized for institutionalizing bias and ...

Initiative 26-01, if passed, would prohibit the use of algorithmic rental price-fixing services like RealPage by landlords.

Recommender systems are machine learning applications in online platforms that automate tasks historically done by people. In the news industry, recommender algorithms can assume the tasks of editors ...