Algorithmic Governance

Requiring algorithmic impact assessments would promote responsible decision-making and inform future policies.

The Supreme Court affirms social media companies’ business models, dodging for now the issue of liability for harmful speech.

Scholar proposes mandatory self-audits and certification of employers’ hiring algorithms.

Cass R. Sunstein discusses how algorithmic governance can reduce noise in decision-making.

Upcoming Supreme Court decisions may reshape the legal risks facing tech companies.

Scholars discuss how regulation could shape the impact of data privacy and technology on marginalized communities.

Using artificial intelligence in public consultation processes could enhance participation in rulemaking.

In deciding to use artificial intelligence, the key question for administrators is a comparative one.

The White House seeks public input on a “bill of rights for an automated society.”

Scholar weighs options for putting an end to harmful speech on social media platforms.

A Federal Trade Commissioner urges the agency to take action to prevent bias in computer algorithms.

Scholars assert that government agencies need a policymaking mindset when purchasing machine learning technology.