Ethics, Governance & Regulation in the AI Lifecycle
Course
Sudhir Tiku of KEENFINITY Group shares governance frameworks for multi-agent AI ecosystems, regulatory expectations and building interdisciplinary teams for responsible AI development.
The rapid integration of generative AI and AI agents across industries has elevated the importance of ethical considerations, governance frameworks and regulatory compliance.
Ethical design principles guide fairness, transparency and accountability in AI systems, while governance structures ensure alignment with corporate values and strategic objectives.
Regulatory frameworks, both emerging and established, further institutionalize standards and safeguard public interest.
In this session, led by Sudhir Tiku, managing director at KEENFINITY Group, you will learn:
- Governance frameworks for multi-agent AI ecosystems;
- What to expect from regulators and regulations?
- Building interdisciplinary teams for responsible AI development.
Here is the course outline:
The Role of Ethics, Governance and Regulation in AI Project Life Cycle |