Ethical AI and Algorithmic Governance (English Language)
Course Description:
This 2-hour webinar is designed specifically for the members of DLAD seeking to deepen their understanding of the ethical implications of Artificial Intelligence (AI). As AI continues to evolve, legal practitioners are faced with new challenges and ethical dilemmas. This course will explore key topics within AI ethics, providing lawyers with the knowledge and tools necessary to navigate this complex landscape. Through real-world examples, case studies, and interactive discussions, participants will gain insights into ethical frameworks, regulatory considerations, bias and fairness in AI systems, and the legal responsibilities in AI-related cases.
A. Introduction to AI Ethics and Legal Implications
• Overview of AI technologies and their applications
• Legal and ethical challenges posed by AI in various sectors
• Introduction to relevant regulations and guidelines
• Ethical Frameworks for AI Decision-Making
B. Virtue ethics in the context of AI
• Ethical decision-making models for AI developers and users
• Case studies illustrating ethical dilemmas and their resolutions
• Bias and Fairness in AI Systems
C. Understanding algorithmic bias and its impact
• Techniques for detecting and mitigating bias in AI algorithms
• Legal implications of biased AI systems and relevant case law
• AI and Privacy: Legal Considerations
D. Privacy challenges in AI applications
• Overview of privacy laws and regulations relevant to AI technologies
• Balancing technological innovation with individual privacy rights
• Legal Responsibilities and Accountability in AI-Related Cases
• Case studies of AI-related legal disputes and their outcomes
Learning Objectives:
• Explain the concepts of algorithmic bias, fairness, and their implications in legal contexts.
• Apply ethical decision-making models to analyze real-world ethical dilemmas in AI-related legal cases.
• Analyze privacy challenges in AI applications, considering relevant laws, and propose solutions for legal compliance.
• Evaluate the effectiveness of legal standards and regulations in addressing challenges posed by AI, and suggest improvements.
• Develop guidelines and best practices tailored for legal professionals to navigate ethical challenges in AI-related cases.
