The author defines accountability not as an abstract moral value but as an actionable process. The study outlines three essential components: a forum empowered to demand answers, an interaction ...

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 ...

Overall, these emerging frameworks provide at least a foundational level of clarity in what would otherwise be a highly ...

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 ...

Rapid digitalisation and AI-driven automation are transforming workplaces, creating new challenges for labour rights that demand updated laws, algorithmic accountability and a human-centric approach t ...

As CFOs use AI to streamline operations, they face new compliance risks tied to accountability and algorithmic governance.

The coevolution between humans and AI transcends traditional boundaries, demanding that we rethink not only how machines ...

IEEE 7003-2024, “Standard for Algorithmic Bias Considerations" The Institute of Electrical and Electronics Engineers (IEEE) recently released IEEE 7003-2024, “Standard for Algorithmic Bias ...

The forensic process is moving away from tangible, observable evidence toward what he calls “invisible evidence”, ...

When the maritime trade union Nautilus International asked memberswhat they thought of AI at a forum in January, there was some positive sentiment: “We shouldn’t automatically assume there will be ...