Axe M. Ahmed

Tag: AI criminal justice bias

  • Judging the Judges: A Solution to Algorithmic Bias in Criminal Justice

    Judging the Judges: A Solution to Algorithmic Bias in Criminal Justice

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    by

    Axe Abdimajid Ahmed
    in

    The increasing use of algorithmic risk assessment tools in the U.S. justice system often perpetuates racial bias, leading to unfair outcomes, especially for marginalized groups. The proposed Algorithmic Judge Oversight System (AJOS) aims to monitor judicial decisions, promote accountability, and enhance fairness while preserving the human element of judgment to reduce biases effectively.

  • Bias in AI: A Call for Fairness and Equity

    Bias in AI: A Call for Fairness and Equity

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    by

    Axe Abdimajid Ahmed
    in

    The content discusses the urgent issue of bias in AI systems, particularly in criminal justice and healthcare. It highlights how algorithms can exacerbate inequalities, leading to discrimination against marginalized groups. The proposed Algorithmic Judge Oversight System aims to monitor judicial bias, promote fairness, and ensure accountability in decision-making, emphasizing the need for ethical AI development.