Explore a virtual workshop panel discussion featuring computer scientists Michael Kearns and Cristopher Moore as they delve into the complex relationship between algorithms and social justice. Examine concepts such as group versus individual fairness, intersectionality, risk assessment, and pretrial detention. Gain insights into fairness notions in machine learning pipelines, fairness gerrymandering, and the trade-offs between fairness and accuracy. Analyze the barriers of meaning in algorithmic decision-making, focusing on the Arnold Public Safety Assessment and its implications. Investigate predictive policing, rearrest rates, and the evolving nature of algorithms in the justice system. Engage with thought-provoking questions addressed to both speakers, enhancing your understanding of the potential for algorithms to influence societal equity.