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 ...

The use of artificial intelligence (AI) in employment decision-making is no longer a theoretical, future-tense possibility. It is here and is reshaping how employers find, assess, and promote talent.

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 ...

Posts from this topic will be added to your daily email digest and your homepage feed. A new bill would hold social media platforms responsible for foreseeable algorithmic harms. A new bill would hold ...