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Course Outline
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Introduction
- The societal impact of AI technologies.
- Public expectations and concerns regarding AI.
- Distinctive features of AI compared to previous technological advancements.
- AI and the Macroeconomy: Linking technology to productivity growth.
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Labor and Automation
- Sector and task-specific research insights.
- How AI alters the nature of work.
- Issues of inequality and wealth redistribution.
- The effect on employment opportunities and workforce composition.
- The diverse potential outcomes of these changes.
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Bias and Inclusion
- Sources and origins of algorithmic bias.
- The lack of diversity within the AI field.
- Recent breakthroughs and findings in bias research.
- New strategies emerging to counteract bias.
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Rights and Liberties
- The intersection of population registries and computing power.
- The relationship between corporate interests and government agencies.
- AI's role within the legal system.
- Privacy considerations in the age of AI.
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Ethics and Governance
- Key ethical concerns surrounding AI.
- How AI reflects the values of its creators and origins.
- The development and application of ethical codes.
- Future challenges and ongoing concerns.
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Summary of Key Issues
- Ethical dimensions.
- Legal frameworks.
- Economic implications.
- Educational needs.
- Social impacts.
- Research and development considerations.
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The Future and Challenges of AI
- The economics of automation driven by AI.
- AI's influence on the broader labor market.
- Risks associated with misuse.
- Issues related to unpredictability.
Requirements
- No prior experience with AI is necessary.
- A general curiosity about technology, business operations, and societal impacts is recommended.
- A foundational grasp of economic and social concepts will be advantageous.
Target Audience
- Senior business leaders and executives.
- Policymakers and government representatives.
- Enthusiasts of technology and AI developments.
- Academic scholars and researchers.
- Legal professionals and ethics specialists.
7 Hours
