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, ...

India lacks a dedicated AI statute and must confront algorithmic accountability urgently Mudasir Khan Artificial Intelligence is no longer confined to research laboratories. It now shapes governance — ...

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 ...

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 ...

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 ...

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 ...

As the European Union gears up to enforce a major reboot of its digital rulebook in a matter of months, a new dedicated research unit is being spun up to support oversight of large platforms under the ...

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, ...

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