Mentor Based
Legal Aspects of AI
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Course Overview
Program Syllabus
Module 1
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.
Module 2
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.
Module 3
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.
Module 4
Program Structure
- Introduction to Legal Aspects of AI
- Overview of AI in legal frameworks
- Key legal challenges of AI development
- AI and Intellectual Property (IP)
- Understanding IP rights for AI-generated content
- Patents, trademarks, and copyrights in AI
- AI Liability and Accountability
- Legal responsibility for decisions made by AI systems
- Liability models for AI errors and misconduct
- Data Privacy and AI
- Ensuring AI compliance with privacy regulations (GDPR, CCPA)
- Data protection challenges in AI system development
- AI Regulations and Compliance
- Overview of emerging AI regulations (e.g., EU AI Act)
- Global standards for AI governance and compliance
- 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
- Ethical Considerations in AI Law
- Legal approaches to bias, fairness, and transparency in AI
- Regulatory approaches to ethical AI development
Lead Instructor
Dr. Sarah Chen
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Limited SeatsClosing Soon
Legal Aspects of AI
Professional Certification Program
🎥
FormatLive + Recorded
📅
Duration8 Weeks
📜
CertificationVerified
Module 5
Who Should Enrol?
Legal professionals, AI developers, policymakers, and compliance officers working in AI-regulated industries.
Module 6
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.
Module 8
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
Module 9
Join Our Hall of Fame!
Take your research to the next level with NanoSchool.
Module 10
Publication Opportunity
Get published in a prestigious open-access journal.
Module 11
Centre of Excellence
Become part of an elite research community.
Module 12
Networking & Learning
Connect with global researchers and mentors.
Module 13
Global Recognition
Worth ₹20,000 / $1,000 in academic value.
Module 14
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