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AI at Work: The Cost of Pretending We Have Answers

Every day, we face an uncomfortable reality that both amazes and unsettles us. Here's an example: intelligent professionals are making stupid mistakes with AI, nobody really knows what to do about it, and most of the proposed "solutions" are security theater without sufficient empirical evidence. 1.

Algorithmic Bias vs. Bias in Algorithms

Introduction In the field of artificial intelligence, the distinction between "algorithmic bias" and "bias in algorithms" is both technically necessary and ethically essential. This differentiation is crucial for understanding how to address challenges of fairness and justice in AI systems. Algorithmic Bias Algorithmic bias refers to