Algorithmic Accountability: A Primer
The primer–originally prepared for the Progressive Congressional Caucus’ Tech Algorithm Briefing–explores the trade-offs and debates about algorithms and accountability across several key ethical dimensions, including fairness and bias; opacity and transparency; and lack of standards for auditing.
The document examines the growing use of algorithms in critical decision-making areas like justice, employment, and social services, highlighting concerns about transparency, fairness, and the lack of accountability mechanisms.
It underscores the risks of embedded bias, particularly racial bias, and calls for enforceable standards, independent auditing, and regulatory oversight to ensure algorithms do not perpetuate or create new forms of discrimination.
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