Explaining Generalisation and Individual Justice - Reuben Binns

Explore the concept of explainability in AI and its implications for individual justice in this thought-provoking lecture by Dr. Reuben Binns. Delve into the challenges of using large datasets to make statistical inferences about individuals and the limitations this presents for explaining and justifying data-driven decisions. Examine the tension between general justice and individual justice in machine learning applications, and consider how language plays a crucial role in negotiating these complex issues. Gain insights into the evolution of decision-making systems, from rules-based approaches to expert systems and modern machine learning algorithms, and understand their impact on discretion and automation in various contexts.

Intro
Rules and discretion
Rules and automation
Expert systems
Machine learning
Individual justice
General justice and individual justice
Language is open to negotiation