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Course Outline
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Introduction
- The impact of AI technologies on human society.
- Expectations and concerns regarding AI technologies.
- How AI technologies differ from previous technologies.
- AI and the Macroeconomy: Technology and productivity growth.
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Labour and Automation
- Research by Sector and Task.
- AI and the Nature of Work.
- Inequality and Redistribution.
- Impact on jobs and the workforce.
- Diverse potential effects.
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Bias and Inclusion
- Sources of Bias.
- The Lack of Diversity in the AI Field.
- Recent Developments in Bias Research.
- Emerging Strategies to Address Bias.
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Rights and Liberties
- Population Registries and Computing Power.
- Corporate and Government Entanglements.
- AI and the Legal System.
- AI and Privacy.
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Ethics and Governance
- Ethical Concerns in AI.
- How AI Reflects Its Origins.
- Ethical Codes.
- Challenges and Concerns Going Forward.
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Summary of Issues to be Addressed
- Ethical issues.
- Legal issues.
- Economic issues.
- Educational issues.
- Social issues.
- Research and Development issues.
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The Future and Challenges of AI
- The Economics of AI-Driven Automation.
- AI and the Labour Market.
- Misuse.
- Unpredictability.
Requirements
- No prior AI knowledge is required.
- General interest in technology, business, and societal impact.
- A basic understanding of economic and social concepts is beneficial.
Target Audience
- Business leaders and executives.
- Policymakers and government officials.
- Technology and AI enthusiasts.
- Academics and researchers.
- Ethics and legal professionals.
7 Hours
