Data, Algorithms, Justice and Fairness - Lecture 2

Explore the complex intersection of algorithms, justice, and fairness in this thought-provoking lecture from the 2018 Ulam Lecture Series. Delve into the use of algorithms in critical decision-making processes within the justice system, including court appearances, bail decisions, and parole assessments. Examine the accuracy, data sources, and potential biases of these algorithmic systems. Investigate the ongoing debate surrounding algorithmic fairness and its impact on different population subgroups. Gain insights into the challenges of defining and implementing fairness in AI-driven decision-making. Consider the implications of AI explanability and human recourse in algorithmic decisions. Reflect on whether AI algorithms will lead us towards a more equitable future or perpetuate existing biases. Join SFI Professor Cristopher Moore for an in-depth exploration of these pressing issues at the forefront of technology and society.