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

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

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

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

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

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

7.1 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

8.1 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

9.1 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

1. Understanding AI Agents 2. Case Studies 3. Hands-On Practice with AI Agents