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, ...

Add Yahoo as a preferred source to see more of our stories on Google. Eliza Anderson, Deseret News The Algorithm Accountability Act (S.3193), proposed this week by Sens. John Curtis and Mark Kelly, is ...

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 ...

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 (AI) tools are becoming commonplace in workplace. According to Equal Employment Opportunity Commission (EEOC) Chair Charlotte Burrows, “as many as 83 percent of employers and ...

A great deal of recent public debate about artificial intelligence has been driven by apocalyptic visions of the future. Humanity, we are told, is engaged in an existential struggle against its own ...

Algorithmic decision-making has enormous potential to do good. From identifying priority areas for first response after an earthquake hits to identifying those at risk of COVID-19 within minutes, ...

Gemma Galdon is a leading voice on tech ethics and algorithmic accountability. In our conversation, she explains the pitfalls of algorithms, the dangers of an “I’m just the tech guy” attitude, and how ...

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 ...

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 ...

If automated valuation fails when data is abundant and properties are standardized, the structural limits in fine art (unique ...