Lealholm is a postcard village – the kind of thousand-year-old settlement with just a tea room, pub, provincial train station and a solitary Post Office to distinguish it from the rolling wilderness ...

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

AI bias, audits and reporting are all key factors in the Algorithmic Accountability Act. Find out what your business can do today regarding artificial intelligence and bias. “The Act would require all ...

Algorithmic transparency requirements—which require organizations to disclose how their automated systems work—have expanded ...

Key point: California’s expansion of its antitrust law — targeting algorithmic pricing and lowering the bar for litigation — signals a major shift in how companies must approach algorithmic pricing ...

Algorithmic accountability policies should prioritise meaningful public participation as a core policy goal, so that any deployment actually meets the needs of affected people and communities, ...

We’ve seen again and again the harmful, unintended consequences of irresponsibly deployed algorithms: risk assessment tools in the criminal justice system amplifying racial discrimination, false ...

Artificial intelligence (or AI) technology is rapidly transforming industry norms and creating new possibilities along with moral, ethical, and legal implications. The Society for Human Resource ...

The accuracy and robustness of computational models is only one side of the equation. The field of algorithmic fairness and accountability investigates the decision-making capabilities of data-driven ...

Governments are increasingly turning to automated systems to make decisions for criminal sentencing, medicare eligibility, and school placement. Public officials and companies tout gains in speed and ...