AI Governance and Ethics:

Examining Regulation, Legislation and Corporate Initiatives

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Why Enroll in this Course?

  • AI could add a staggering $25.6 trillion to the world’s economy. (McKinsey, 2023)

  • AI could partially automate two-thirds of jobs. But many of these jobs will be complemented by AI, not substituted by it. (Goldman Sachs, 2023)

  • In 2023, the global AI market size was close to $208 billion. By 2030, the market size is expected to reach nearly $2 trillion. (Statista, 2023)

  • Over one-third of organizations already use security tools to mitigate the risks of generative AI. (Gartner, 2023)

  • Fewer than 20% of executives firmly believe their applied AI ethics actually meet their stated values. (IBM, 2022)

Learning Journey

The overall AI Governance and Ethics course learning outcomes and structure have been curated to meet the call of leadership in emerging tech governance and provide vital information about how this technology is created and applied.

Key takeaways

Key takeaways

  • Define AI ethics and the core principles of AI and ML development

  • Explain the significance of ethical issues in AI, such as bias, fairness and transparency

  • Understand the current AI regulation and legislation landscape

  • Identify the role of governments and international organizations in regulating AI

  • Discuss the challenges and opportunities in regulating AI

  • Work on an actual case study by a leading company

BRU - ICON - Networking - RED
Apply key course concepts to a real case study
BRU - ICON - Online - RED
Understand the current landscape of AI regulation and legislation
ICON BRU - world
Identify the role of governments and international organizations in regulating AI
BRU - ICON - RED Final Project
Identify examples of corporate initiatives to promote ethical AI
BRU - ICON - Self-paced - RED
Understand the role of industry standards and guidelines in AI ethics

Program Faculty

BRU - FACULTY - Suresh Venkatasubramanian
Suresh Venkatasubramanian

Director of the Center for Technological Responsibility, Reimagination, and Redesign (CNTR) with the Data Science Institute at Brown University, and Former Assistant Director ...

Guest Speaker

BRU Faculty Liz Tsai
Liz Tsai

HiOperator founder and CEO.

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