AI+ Ethics Fundamentals

Prerequisites

• Foundational knowledge of Artificial Intelligence and Machine Learning concepts.
• Awareness of social, cultural, and political impacts of AI adoption.
• Understanding of professional ethics, including honesty, integrity, and accountability.
• Experience with real-world AI case studies that highlight ethical dilemmas.
• Ability to assess and make informed, ethical decisions in deploying AI systems.
• Familiarity with relevant laws, industry regulations, and governance frameworks for AI technologies.

Course outline

1. 1

   Lesson 1: Overview of AI Ethics & Societal Impact

   • 1.1 Introduction to Ethical Considerations in AI
   • 1.2 Understanding The Societal Impact of AI Technologies
   • 1.3 Strategies for Conducting Social and Ethical Impact Assessments
2. 2

   Lesson 2: Bias and Fairness in AI

   • 2.1 Exploration of Biases in Data and Algorithms
   • 2.2 Strategies for Mitigating Bias and Ensuring Fairness in AI Systems
3. 3

   Lesson 3: Transparency and Explainable AI

   • 3.1 Importance of Transparent AI Systems
   • 3.2 Techniques for Explaining AI Models to Diverse Stakeholders
   • 3.3 Guided Projects on Designing and Analysis of AI Systems with Ethical Considerations
4. 4

   Lesson 4: Privacy and Security Issues in AI

   • 4.1 Study frameworks for holding organizations accountable for the ethical use of AI.
   • 4.2 Why it matters: Ensures ethical AI deployment and helps mitigate the consequences of potential misuse or harm.
5. 5

   Lesson 5: Accountability and Responsibility

   • 5.1 Concepts of Accountability in AI Development and Deployment
   • 5.2 Responsibilities of AI Practitioners and Organizations
6. 6

   Lesson 6: Legal and Regulatory Issues

   • 6.1 Overview of Relevant Laws and Regulations Pertaining to AI
   • 6.2 Understanding the Global Regulatory Issues for AI Technologies
   • 6.3 Case Studies: GDPR Compliance
   • 6.4 Legal Compliance of AI Tools
7. 7

   Lesson 7: Ethical Decision-Making Frameworks

   • 7.1 Introduction to Frameworks for Making Ethical Decisions in AI
   • 7.2 Case Studies and Applications of Ethical Decision-Making
   • 7.3 Use of Simulation Platforms in Ethical Decision-Making
8. 8

   Lesson 8: AI Governance & Best Practices

   • 8.1 Principles and Functions of International AI Governance
   • 8.2 Best Practices for Integrating AI Ethics into Organizational Policies
   • 8.3 Case Studies on AI Governance
9. 9

   Lesson 9: Global AI Ethics Standards

   • 9.1 Explore Standards: IEEE’s Ethically Aligned Design
   • 9.2 Comparative Case Studies on Standard Implementations
   • 9.3 Tools for Evaluating AI Systems Against Global Standards
10. 10

    Optional Lesson: AI Agents for Ethics and Its Implications

    • Understanding AI Agents
    • Case Studies
    • Hands-On Practice with AI Agents