Policymaking in AI: Frameworks for Governance and Regulation
About Course
Artificial Intelligence (AI) has revolutionized industries and transformed society, but its rapid evolution brings complex challenges that require thoughtful governance. How can we regulate AI to ensure it benefits society, minimizes harm, and aligns with shared values?
This 1-hour text-based course introduces learners of all levels to the principles, processes, and challenges of policymaking in AI. You’ll explore the role of governments, industry, and international organizations in creating frameworks that regulate AI development and deployment. The course will also discuss real-world examples of AI policies, their implementation, and the global need for ethical AI governance.
By the end, you’ll understand how policies are designed to address key issues like data privacy, bias, accountability, and transparency, while fostering innovation and protecting human rights.
What Will You Learn?
- Understand the importance of AI policymaking and its societal impact.
- Identify key principles of effective AI policies, including transparency, fairness, and accountability.
- Explore case studies of AI policies and their real-world implications.
- Recognize the challenges of regulating AI in a rapidly evolving technological landscape.
- Gain insights into the future of AI policymaking and governance.
Course Content
Foundations of AI Governance
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What is AI governance?
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AI Governance
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Challenges in AI policymaking
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Challenges in AI Policymaking
AI Policy Frameworks and Regulatory Models
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Key AI governance frameworks
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Key AI Governance Frameworks
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Government vs. industry self-regulation
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Government vs. Industry Self-Regulation in AI
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Regulatory tools and enforcement mechanisms
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Regulatory Tools & Enforcement in AI Governance
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Case Studies
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AI Governance & Regulation
Future Directions in AI Policy making
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Emerging Trends in AI governance
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What’s next for AI regulation?
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The Future of AI Governance
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