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Duration 7 hours
Course Outline
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Introduction
- The impact of AI technologies on human society.
- Expectations and concerns surrounding AI technologies.
- How AI features distinguish it from previous technological advances.
- AI and the Macroeconomy: Technology and productivity growth.
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Labor and automation
- Research across sectors and specific tasks.
- AI and the changing nature of work.
- Inequality and wealth redistribution.
- Effects on jobs and the workforce.
- The diverse potential outcomes of these changes.
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Bias and Inclusion
- Sources of bias in AI systems.
- The lack of diversity within the AI field.
- Recent advancements in bias research.
- Emerging strategies for addressing bias.
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Rights and Liberties
- Population Registries and the power of computation.
- Intersections between corporate and government interests.
- AI’s impact on the legal system.
- AI and privacy considerations.
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Ethics and Governance
- Ethical dilemmas associated with AI.
- How AI reflects its origins and development.
- The role of ethical codes.
- Forward-looking challenges and concerns.
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Summary of key issues to address
- Ethical dimensions.
- Legal frameworks.
- Economic implications.
- Educational considerations.
- Social impacts.
- Research and Development challenges.
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The future and challenges of AI
- The economics of AI-driven automation.
- AI’s effect on the labor market.
- Potential for misuse.
- Issues of unpredictability.
Requirements
- No prior knowledge of AI is necessary.
- A general interest in technology, business, and societal impact is expected.
- A foundational understanding of economic and social concepts is advantageous.
Target Audience
- Business leaders and senior executives.
- Policymakers and government officials.
- Technology and AI enthusiasts.
- Academics and researchers.
- Ethics and legal professionals.
