AI Policy and Governance

This course provides an in-depth examination of the ethical and regulatory frameworks guiding Artificial Intelligence (AI) today. Through real-world policy analysis and governance strategy case studies, students will engage in discussions around AI’s societal impacts and the evolving policy landscape aimed at mitigating potential risks. Debates and critical discussions will form a core component of the course, allowing students to grapple with the pressing issues that shape AI policy and governance, from corporate self-regulation to government intervention. This course aims to prepare students to understand, influence, and navigate the future of AI governance.

Advance your Career with in-demand AI Expertise & Credentials 

Upon completion of the course, you will earn a certificate issued by Prudue University, USA. This is part of the stack credentials for the Chief AI & Data Strategy Officer Course, jointly awarded by Aventis and Prudue University 

This course provides a comprehensive foundation in AI policy and governance, preparing students to become informed advocates and leaders in responsible AI deployment and regulation. Upon successful completion of this course, students will be able to:

• Identify and discuss core concepts in the emerging AI policy domain, recognizing key actors, institutions, and governance strategies proposed or adopted by governments, corporations, and civil society organizations.

• Analyze and critically evaluate the social and ethical dimensions of AI, focusing on identifying issues and understanding their policy implications.

• Examine regulatory trends and policy frameworks for AI governance, including prominent debates, regulatory challenges, and key compliance standards.

• Synthesize best practices and ongoing debates in AI policy, develop strategies for continual learning, and stay informed about emerging issues and approaches to AI governance.

Introduction to AI

Overview of foundational AI concepts, technological advancements, and the diverse applications of AI in various sectors. This module sets the stage for understanding the broader context in which AI operates.

Key Concepts in International Governance

Exploration of the international actors, such as the EU, UN, and global NGOs, and their roles in developing standards and frameworks for AI governance. Readings include global case studies on cross-border AI policy and emerging governance trends.

Corporate Governance and Self-Regulation

Focus on corporate self-regulation practices, ethical AI initiatives, and case studies on AI ethics boards and responsible AI teams. Students will learn how firms navigate regulatory landscapes and respond to societal expectations for transparency and accountability.

Ethics and Impact Assessment

Examination of social and ethical issues raised by AI, including privacy, bias, and accountability. This module addresses frameworks for impact assessment and the tools used to evaluate AI’s societal and ethical effects.

Getting Engaged and Building Expertise

Guidance on practical approaches for students to engage with the AI policy community, stay informed of developments, and build expertise in AI policy. The module covers resources, networks, and best practices for maintaining up-to-date knowledge in the fast-evolving AI policy domain.