The disproportionate burden of COVID-19 among communities of color and a necessary renewed attention to racial inequalities have lent new urgency to concerns that algorithmic decision-making can lead ...

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 ...

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 ...

The integration of fairness, accountability, transparency, trust and ethics into computer systems has emerged as a critical interdisciplinary challenge. With the pervasive adoption of automated ...

Marissa Gerchick and Olga Akselrod detail the ACLU's complaints against Aon, a hiring technology company which offers AI interviewing and candidate-evaluation tools. "Academic researchers also play a ...

BRAINTREE, Mass., Dec. 1, 2022 /PRNewswire/ -- MIB, the life insurance industry's most trusted and secure partner for data-driven risk management and digital services announced a collaboration ...

The governance challenge is intensifying as digital systems increasingly optimize for machine consumption rather than human ...

The path forward requires algorithmic accountability, not just corporate nationalism. Canada should focus on transparency requirements for content recommendations, data localization keeping Canadian ...

The CFO’s face said it all. An AI-powered pricing tool had rolled out across 3,000 retail locations, designed to optimize margins automatically. Within 48 hours, customers flooded social media with ...