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Duration 7 hours
Course Outline
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Introduction
- The societal impact of AI technologies
- Expectations and concerns surrounding AI technologies
- Distinctive features of AI compared to previous technological generations
- AI and the Macroeconomy - technology and productivity growth
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Labor and automation
- Research by Sector and Task
- AI and the Nature of Work
- Inequality and Redistribution
- Effects on employment and the workforce
- Diverse potential outcomes
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Bias and Inclusion
- Origins of Bias
- Lack of Diversity in the AI Field
- Recent Advances in Bias Research
- New Strategies for Addressing Bias
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Rights and Liberties
- Population Registries and Computational Power
- Intersections between Corporations and Government
- AI and the Legal Framework
- AI and Data Privacy
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Ethics and Governance
- Ethical Dilemmas in AI
- AI as a Reflection of Its Creators
- Ethical Guidelines and Codes
- Future Challenges and Considerations
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Overview of Key Issues to Address
- Ethical considerations
- Legal implications
- Economic factors
- Educational aspects
- Social dimensions
- Research and Development challenges
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The future and challenges of AI
- The Economics of AI-Driven automation
- AI and the Future of the Labor Market
- Potential Misuse
- Unpredictability of AI Systems
Requirements
- No prior knowledge of AI is necessary
- A general interest in technology, business, and its societal impact
- A foundational understanding of economic and social concepts is advantageous
Target Audience
- Corporate leaders and executive management
- Government officials and policymakers
- Enthusiasts of technology and AI
- Academics and research professionals
- Legal and ethics practitioners
