Explore the intersection of physics, computer science, and social justice in this thought-provoking lecture by Cris Moore. Delve into the complexities of algorithmic decision-making and its impact on society, examining the limitations and potential pitfalls of relying on AI for critical choices. Gain insights into the physics of inference, community detection algorithms, and the challenges of applying computational models to real-world problems. Discover the importance of transparency in AI systems and the need for a nuanced understanding of data quality and model suitability. Investigate the ethical implications of algorithmic justice, predictive policing, and the future of democracy in an increasingly data-driven world. Learn about the Algorithmic Justice Project and its efforts to address these crucial issues. Engage with cutting-edge research at the boundary of physics and computer science, and consider the broader societal implications of technological advancements in decision-making processes. Read more