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Mentor Based

Legal Aspects of AI

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

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Early access to e-LMS included

  • Mode: Online/ e-LMS
  • Type: Mentor Based
  • Level: Moderate
  • Duration: 3 Weeks

About This Course

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.

Program Structure

  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

Who Should Enrol?

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

Program Outcomes

  • Mastery in navigating legal challenges related to AI systems.
  • Proficiency in ensuring AI compliance with global privacy and IP laws.
  • Understanding of liability and accountability issues in AI.
  • Insight into AI regulations and ethical AI development.

Fee Structure

Discounted: ₹8,499 | $112

We accept 20+ global currencies. View list →

What You’ll Gain

  • Full access to e-LMS
  • Real-world dry lab projects
  • 1:1 project guidance
  • Publication opportunity
  • Self-assessment & final exam
  • e-Certificate & e-Marksheet

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