LCT0097 - AI Ethics and Society
11761140
Delivery Options
LEL-Lecture-lab.
and
Flex - In-Person or Online
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Course Description
Explore the ethical challenges and complexities of AI systems, focusing on fairness, accountability, privacy, and societal impacts. Designed for business and policy professionals, we will cover bias, surveillance, job automation, and AI regulation. Through real-world case studies, debates, and hands-on activities, you will analyze AI dilemmas and develop strategies for ethical AI practices.Course Outline
Week 1: AI Ethics, Governance Frameworks, and Ethical Dilemmas
- Ethical principles in AI (e.g., fairness, accountability)
- Case studies: Bias in facial recognition systems
- Activity: Discuss ethical issues in AI deployment.
- Overview of AI governance policies
- Role of institutions and governments in AI regulation
- Activity: Analyze existing AI governance frameworks
Week 2: Bias in AI Systems and Privacy and Surveillance
- Sources of bias in datasets and algorithms
- Activity: Identify bias in a given AI use case
- Ethical implications of AI in surveillance systems
- Activity: Debate privacy issues in facial recognition AI.
Week 3: Societal Impacts and the future of AI Ethics
- Impacts of AI on employment, job automation, and economic disruption
- Activity: Research and present on the impact of automation in an industry
- Strategies to ensure ethical AI practices
- Activity: Draft an ethical AI policy for a company
- Governance in practice and current legal frameworks for AI
- Challenges in cross-border AI governance
- Activity: Mock policy-making session
- Emerging trends and global initiatives in AI ethics
- Capstone: Propose a governance solution for an ethical AI issue
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