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

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

Posts from this author will be added to your daily email digest and your homepage feed. is a senior tech and policy editor focused on online platforms and free expression. Adi has covered virtual and ...

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, ...

The Situation: There have been numerous reports that computer algorithms used in artificial intelligence ("AI") systems have created or contributed to biased and discriminatory outcomes. To reduce ...

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 ...

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 ...

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 ...

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 ...