AI-Driven Decision-Making and Legal Accountability for Tech Lawyers: A 2-Hour Crash Course
Navigate the legal landscape of AI: a crash course for tech lawyers on AI-driven decision-making, accountability, and risk mitigation.
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Understanding AI-Driven Decision-Making
Unit 1: AI Decision-Making: The Basics
What is AI Decision?
Machine Learning 101
Neural Networks Explained
Unit 2: AI vs. Traditional Decision-Making
Tradition vs. AI
Challenges of AI
Opportunities with AI
Unit 3: AI in Action: Real-World Examples
AI in Finance
AI in Healthcare
AI in Cybersecurity
Benefits & Risks of AI
Legal Risks and Ethical Considerations in AI
Unit 1: Identifying Legal Risks in AI
AI Bias: An Overview
AI & Discrimination
Transparency in AI
AI & Data Privacy
Unit 2: Ethical Frameworks and Principles
Ethical AI: An Intro
Fairness in AI
Accountability in AI
Transparency in AI Ethics
Unit 3: AI Regulations and Case Studies
EU AI Act Overview
AI Case Studies
Legal Accountability for AI Systems
Unit 1: Foundations of AI Legal Accountability
Accountability in AI
The AI Ecosystem
AI's Black Box Problem
Unit 2: Legal Doctrines and AI
Negligence & AI
Product Liability & AI
Data Protection & AI
AI & Intellectual Property
Unit 3: Explainability and the Future of AI Accountability
Explainable AI (XAI)
Future of AI Law
AI Audits
Mitigating Legal Risks and Ensuring Compliance
Unit 1: Risk Assessment and Compliance Programs
AI Risk Assessment 101
Building a Compliance Program
Ethical Guidelines for AI
Unit 2: Data Quality, Transparency, and Fairness
Data Quality Imperatives
Transparency Techniques
Fairness in AI
Unit 3: AI Governance and Regulatory Navigation
AI Governance Frameworks
Navigating the AI Landscape
Adapting to New Rules
Future-Proofing AI