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

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.

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 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 ...

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 ...

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 ...

“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 ...