AI Governance

Dates

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Length of Course

3 hours

Delivery Method

Online

Cost

$425 CAD

Summary

Governance and management frameworks concerning the use and application of Artificial Intelligence demand organizations - across the private, public, and the not-for-profit sector – to acquire knowledge and develop capabilities to manage this critical resource. This course provides an in-depth overview of current issues concerning responsible and ethical AI governance; national and multinational protocols and frameworks which participants can use to guide their use of AI and AI-driven applications; skillsets and toolkits which are beneficial for AI training and capacity development purposes; and ideas for partnerships and collaboration on a critical enabler for future technologies which works across national boundaries and domains.

Instructor

Maral NiaziMaral Niaziis a former Digital Policy Hub doctoral fellow and a Ph.D. student at the Balsillie School of International Affairs with a multidisciplinary background in political science, human rights, law and global governance. Her research with the Digital Policy Hub expanded on her doctoral research on the global governance of AI where she will examine the societal impacts of AI on humanity.

Format

The masterclass format is a concise summary of 4 sessions delivered over a 3-hour period. Upon completion of the masterclass learning objectives, participants will receive a BEI certificate.

Proposed Agenda

Session 1: Foundations of AI Governance

  • Key concepts in AI Governance
  • Situating AI Governance in wider governance policies and frameworks

Session 2: Multilevel AI Governance

  • National Level: Policy development, regulation, and public awareness
  • Regional Level: Harmonized standards, collaborative research, and addressing digital weaknesses
  • International Level: Enhancing global coordination, inclusive capacity building

Session 3: Multinational/Multilateral AI Governance

  • Policy and Regulation: Standards, ethical considerations, compliance, and enforcement
  • Research and Development: Collaborative initiatives, funding, public-private partnerships
  • Capacity Building: Education programs, bridging the digital divide, inclusive development

Session 4: Multistakeholder AI Governance

  • Public Sector: Governments, regulatory bodies, public-private partnerships
  • Private Sector: Industry best practices, audits, innovation, corporate social responsibility
  • Civil Society: Public advocacy, consultations, social equity, and protection

To Register

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