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Starts 4 June 2026 11:22
Ends 4 June 2026
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Overview
Explore ethical implications of AI decision-making through a Talmudic lens. Examine ancient case laws to draw parallels with modern AI challenges and spark crucial conversations about responsibility.
Syllabus
- Introduction to AI Ethics and the Talmudic Tradition
- Historical Contexts: Ancient Case Laws
- Modern Parallels: AI Decision-Making Processes
- Responsibility and Accountability
- Bias in Decision-Making
- Consent and Autonomy
- Outcomes and Justice
- Case Study Workshop
- Conclusion and Future Directions
Overview of AI decision-making and ethical challenges
Introduction to Talmudic thought: structure, purpose, and methods
Key Talmudic case studies and principles
The role of interpretation and debate in Jewish law
Comparison of Talmudic reasoning and AI algorithms
Case studies of AI in real-world decision-making scenarios
Talmudic perspectives on responsibility
AI accountability: developer, user, and societal responsibilities
Identifying and addressing bias in Talmudic judgments
Exploring AI bias: causes, consequences, and mitigation
Consent in ancient Jewish law
AI systems and user autonomy: ethical considerations
Exploring concepts of justice and fairness in Talmudic law
Evaluating AI outcomes: fairness, transparency, and justice
Group analysis of AI decisions through a Talmudic lens
Developing ethical guidelines based on these analyses
Summarizing key insights from Talmudic and AI ethical perspectives
Emerging issues in AI ethics and potential solutions
Subjects
Conference Talks