DL12

Legal Aspects of AI

Master the Legal Landscape of AI: From Compliance to Intellectual Property

Skills you will gain:

Participants will explore how AI intersects with laws, including issues of accountability, liability for AI systems, intellectual property rights for AI-generated content, and the legal implications of AI decisions. Special attention will be given to privacy laws and regulatory standards governing AI applications globally.

Aim: This program focuses on the legal considerations surrounding the development, deployment, and use of AI systems. It covers intellectual property, liability, data privacy, and emerging regulatory frameworks.

Program Objectives:

  • Understand the intersection of AI and legal frameworks.
  • Learn about liability, accountability, and intellectual property in AI.
  • Develop strategies to ensure AI compliance with global data privacy regulations.
  • Explore the legal implications of AI in decision-making and legal practice.
  • Gain insights into upcoming AI regulations and ethical governance.

What you will learn?

  1. Introduction to Legal Aspects of AI
    • Overview of AI in legal frameworks
    • Key legal challenges of AI development
  2. AI and Intellectual Property (IP)
    • Understanding IP rights for AI-generated content
    • Patents, trademarks, and copyrights in AI
  3. AI Liability and Accountability
    • Legal responsibility for decisions made by AI systems
    • Liability models for AI errors and misconduct
  4. Data Privacy and AI
    • Ensuring AI compliance with privacy regulations (GDPR, CCPA)
    • Data protection challenges in AI system development
  5. AI Regulations and Compliance
    • Overview of emerging AI regulations (e.g., EU AI Act)
    • Global standards for AI governance and compliance
  6. AI in Contract Law and Legal Practice
    • AI’s role in automating contract analysis and legal decision-making
    • Legal frameworks for AI-based tools in the legal industry
  7. Ethical Considerations in AI Law
    • Legal approaches to bias, fairness, and transparency in AI
    • Regulatory approaches to ethical AI development

Intended For :

Legal professionals, AI developers, policymakers, and compliance officers working in AI-regulated industries.

Career Supporting Skills