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, ...

Read more about AI may be efficient, but public still prefers humans in scarce resource decisions on Devdiscourse ...

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 ...

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 ...

Democratic lawmakers have proposed a bill to address the algorithmic biases lurking under the surface of tech’s biggest platforms. The bill, known as the Algorithmic Accountability Act, was introduced ...

Posts from this topic 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 ...

We’ve become suspicious of tech. Once obscure issues like the design of news recommendation systems and the evaluation of criminal justice risk scoring methods have become major public conversations.

“Currently, there are few consumer or civil rights protections that limit the types of data used to build data profiles or that require the auditing of algorithmic decision-making, even though ...

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 ...

Posts from this topic will be added to your daily email digest and your homepage feed. is a senior reporter who has covered AI, robotics, and more for eight years at The Verge. Governments and private ...