AI+ Ethics™

Target group

Ethics Professionals:Enhance your expertise in AI ethics to guide responsible AI deployment. 

AI & Data Enthusiasts:Learn how to apply ethical frameworks in AI decision-making processes. 

Compliance Officers:Ensure AI technologies comply with legal and ethical standards to mitigate risks. 

Technology Leaders:Drive ethical AI strategies and lead responsible AI initiatives within organizations. 

Students & New Graduates:Gain a competitive edge in the rapidly growing field of AI ethics. 

Course structure

Course Overview

• Course Introduction Preview

Module 1: Overview of AI Ethics & Societal Impact

• 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

Module 2: Bias and Fairness in AI

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

Module 3: Transparency and Explainable AI

• 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

Module 4: Privacy and Security Issues in AI

• 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.

Module 5: Accountability and Responsibility

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

Module 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

Module 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

Module 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

Module 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

Optional Module: AI Agents for Ethics and Its Implications

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

Certification

50 questions, 70% passing, 90 minutes, online proctored exam