📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of Legal Aspects of AI, from foundations to a certified capstone project.
Liability
• Product liability, negligence and the gap when no human made the decision
• Developer, deployer and user responsibility allocated across the supply chain
• Contractual allocation, indemnities and warranty limits in AI procurement
Intellectual Property
• Copyright in AI-generated content and the human-authorship requirement
• DABUS and the consistent refusal of AI inventorship across jurisdictions
• Training data, text and data mining exceptions and the pending litigation
Data
• GDPR rights over automated decision-making and profiling
• India's Digital Personal Data Protection Act and consent obligations
• Purpose limitation and the difficulty of erasure once a model is trained
Regulation
• EU AI Act risk tiers and the duties attaching to high-risk systems
• Sectoral regulation in medical devices, finance and employment screening
• Extraterritorial reach and why location of deployment governs
Practice
• AI inventories, impact assessments and documented human oversight
• Evidence a regulator expects: testing records, not policy statements
• Discrimination exposure and the audit obligations already in force
Earn government-registered certification in Legal Aspects of AI
e-Certificate and e-Marksheet issued on successful completion.
