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Course Outline
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Introduction
- The influence of AI technologies on human society.
- Public expectations and concerns surrounding AI.
- Distinctive characteristics of AI compared to previous technological shifts.
- AI and the Macroeconomy: technology and productivity growth.
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Labor and Automation
- Sector and task-based research insights.
- AI and the evolving nature of work.
- Inequality and wealth redistribution.
- Effects on job markets and the workforce.
- Diverse potential outcomes.
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Bias and Inclusion
- Sources of algorithmic bias.
- Lack of diversity within the AI field.
- Recent advancements in bias research.
- New approaches to mitigating bias.
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Rights and Liberties
- Population registries and computational capabilities.
- Intersections between corporate and government interests.
- AI within the legal framework.
- AI and data privacy.
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Ethics and Governance
- Ethical considerations in AI development.
- How AI reflects its underlying origins.
- Application of ethical codes.
- Forward-looking challenges and concerns.
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Summary of Key Issues
- Ethical dimensions.
- Legal implications.
- Economic factors.
- 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 impact on the labor market.
- Potential for misuse.
- Unpredictability and uncertainty.
Requirements
- No prior expertise in AI is necessary.
- A general interest in technology, business operations, and societal impacts.
- Foundational knowledge of economic and social concepts is advantageous.
Target Audience
- Business leaders and C-suite executives.
- Policymakers and public sector officials.
- Technology and AI professionals.
- Academics and research scholars.
- Legal and ethics specialists.
7 Hours
