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Why can an AI answer sound authoritative while leaving out the people most affected by its claims?
Artificial Social Intelligence examines how bias enters AI through data, language, workplace practices, and the institutions that decide what counts as knowledge. Drawing on sociological theory and documented studies, Seenarine shows how these choices can disadvantage women and marginalized communities, and why a more accurate answer alone cannot resolve the harm.
The book offers a practical framework for asking whose evidence is used, whose voice is heard, who has power to challenge a system, and what happens after it causes harm. It makes the case for AI that is accountable to the people who live with its answers.
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