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Bias and fairness

Where bias appears and how to identify mitigation steps.

Surveillance and data privacy

Data collection, consent, and the digital panopticon.

Emotional manipulation

AI systems that influence behavior and perception.

Accountability and responsibility

Who is answerable when AI systems fail or cause harm.

Environmental and societal impact

Energy use, labor, and downstream effects on communities.

Content sources

Posts tagged #AIEthics, #AIConcerns, #AIAccountability, #surveillance, and related reflections.