Research Wing
The Research Wing conducts comprehensive analysis of legal, regulatory, and governance frameworks addressing artificial intelligence and related technologies.
Research Focus Areas
Algorithmic Governance
Examination of regulatory frameworks governing algorithmic decision-making systems. Research addresses transparency requirements, accountability mechanisms, and oversight structures for automated processes in public and private sector contexts.
Research Topics
- •Regulatory frameworks for automated decision systems
- •Transparency and explainability requirements
- •Accountability mechanisms for algorithmic outputs
- •Impact assessment methodologies
Data Protection and Privacy
Analysis of legal frameworks governing personal data processing in AI systems. Research encompasses data protection regulations, privacy-preserving technologies, and cross-border data governance mechanisms.
Research Topics
- •Personal data processing in AI systems
- •Privacy-enhancing technologies and legal compliance
- •Cross-border data transfer mechanisms
- •Data subject rights in automated processing
Intellectual Property Rights
Investigation of intellectual property frameworks in the context of AI-generated outputs and machine learning systems. Research addresses authorship, ownership, and protection of AI-related innovations.
Research Topics
- •Authorship and ownership of AI-generated works
- •Patentability of AI innovations
- •Trade secret protection for machine learning models
- •Licensing frameworks for AI technologies
Legal Liability and Responsibility
Study of liability frameworks applicable to AI systems and autonomous technologies. Research examines attribution of responsibility, causation analysis, and compensatory mechanisms for AI-related harms.
Research Topics
- •Product liability for AI systems
- •Professional negligence in AI deployment
- •Causation and attribution in automated systems
- •Insurance frameworks for AI-related risks
Research Methodology
The Research Wing employs rigorous analytical frameworks combining doctrinal analysis, empirical investigation, and comparative legal studies.
Methodological Approaches
- •Doctrinal analysis of statutory and regulatory frameworks
- •Empirical studies of AI system deployment and governance
- •Comparative analysis of international regulatory approaches
- •Stakeholder consultation and expert engagement
Research Outputs
Research findings are disseminated through academic publications, working papers, and policy briefs.
Research Collaboration
The Research Wing welcomes collaboration proposals from academic institutions, research organizations, and policy bodies.
Submit Collaboration Proposal