AI+ Ethics 

Duration

• Instructor-Led: 1 days (live or virtual)
• Self-Paced: 8 hours of content

Who should attend

• 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

Prerequisites

• Basic grasp of ethical principles and moral reasoning
• Interest in how AI impacts society and daily life, and openness to change
• Willingness to understand AI ethical frameworks and guidelines

Course Content

Course Overview

Course Introduction

Module 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

Module 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

Module 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

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

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

Why This Certification Matters

• In-Depth Ethical Understanding: Understand ethical considerations and social impacts of AI for responsible decision-making.
• Bias Mitigation and Fairness: Learn strategies to identify and prevent biases in AI systems, ensuring fairness and transparency.
• Privacy and Security Assurance: Explore strategies to safeguard privacy and secure AI systems and data.
• Legal and Regulatory Compliance: Understand global AI regulations to ensure compliance with legal and ethical standards.

Exam Details

• Duration- 90 minutes
• Passing score- 70% (35/50)
• Format- 50 multiple choice/ multiple response questions