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 ...

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

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 ...

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 ...

My purpose in this blog is to argue that the human mind is not algorithmic. This is a contentious issue, for one of the received views in Cognitive Science and Neuroscience is that the mind is, and ...

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

Antitrust laws presume a meeting of minds. Section 3(1) of the Competition Act, 2002 prohibits any agreement causing an appreciable adverse effect on competitio ...