Ethical and Societal Impact of Generative AI (AAI301)

As the field of Generative AI continues to advance, the ethical and societal implications of its applications become increasingly significant. This course aims to engage participants in a critical exploration of the ethical considerations surrounding Generative AI technologies and their broader societal impact. The course not only provides an overview of current and emerging regulations related to Generative AI but also emphasizes the practical applications of ethical principles. Participants will learn the importance of engaging with diverse stakeholders in the development and deployment of Generative AI, gaining insights into real-world challenges and opportunities. Through a combination of theoretical discussions and case studies, participants will develop a nuanced understanding of the ethical challenges posed by Generative AI and acquire strategies to navigate them responsibly, ensuring the practical application of ethical principles in their professional endeavours.

• Ethical Principles of AI
• Ethics in AI Deployment
• Ethics in AI Development
• Future of Ethical Generative AI
• Impact of Generative AI on Employment and Economy
• Introduction to AI Ethics
• Privacy Concerns in Generative AI
• Regulatory Landscape
• Responsible AI Adoption
• Societal Integration of Generative AI
• Stakeholder Engagement and Collaboration
• Transparency in AI systems

• Discuss the importance of transparency, accountability, and fairness in AI systems.
• Differentiate the advantages and challenges associated with Generative AI's societal integration.
• Examine the broader societal impact of Generative AI applications, considering economic, cultural, and social dimensions.
• Analyze case studies to understand real-world instances of societal influence, both positive and negative.
• Illustrate security considerations and potential vulnerabilities in AI systems.
• Formulate strategies for fostering responsible AI and Generative AI adoption within organizations.