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AI systems often concentrate decision-making power, reducing the agency of those affected by decisions.
Biased AI decisions create biased data, which trains more biased models — a self-reinforcing cycle.
Complex AI supply chains make it difficult to assign responsibility when harm occurs.
Data collected for one purpose is repurposed for AI training without meaningful consent.
Benefits of AI accrue to those with resources and access, widening existing inequalities.
Publishing model cards or ethics statements without meaningful accountability or change.