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Starts 6 June 2025 12:49

Ends 6 June 2025

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Trustworthy AI for Legal Reasoning

Explore how AI can be applied to legal reasoning with a focus on trustworthiness, presented by Ruzica Piskac from Yale University at the Simons Institute.
Simons Institute via YouTube

Simons Institute

2484 Courses


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Overview

Explore how AI can be applied to legal reasoning with a focus on trustworthiness, presented by Ruzica Piskac from Yale University at the Simons Institute.

Syllabus

  • Introduction to AI in Legal Reasoning
  • Overview of AI's role in legal contexts
    Historical development and key milestones
  • Foundations of Trustworthy AI
  • Definitions and principles of trustworthy AI
    Importance of ethics and accountability
  • AI Techniques for Legal Analysis
  • Natural Language Processing (NLP) in legal documents
    Machine learning models for legal predictions
  • Building Explainable AI Systems
  • Techniques for interpreting AI decisions
    Case studies on explainable AI in law
  • Ensuring Fairness in AI Legal Systems
  • Identifying and mitigating bias
    Frameworks for fairness evaluation
  • Security and Privacy in Legal AI
  • Data protection and privacy concerns
    Strategies for secure AI deployment
  • Trust and Transparency in AI
  • Building transparent AI infrastructures
    Tools for auditing AI systems
  • Legislative and Regulatory Perspectives
  • Existing regulations affecting AI in law
    Potential future developments in legal AI regulation
  • Case Studies and Applications
  • Real-world examples of AI in legal reasoning
    Successes and challenges in implementation
  • Ethical Implications and Considerations
  • Balancing innovation with societal impact
    Discussion on ethical dilemmas in AI deployment
  • Future of AI in Legal Reasoning
  • Emerging trends and technologies
    Vision for the future of AI in legal systems
  • Conclusion and Course Wrap-up
  • Key takeaways and reflections
    Open discussion on course content and future learning paths

Subjects

Computer Science