AI Business

AI+ Ethics

Training professionals to apply AI ethically and mitigate risks by learning to guide AI decisions in business and government while upholding ethical standards. Gain expertise to promote fairness, minimize risks, and protect organizational integrity.

Duration

1 Day (8 hours)

Targeted Audience

Policy Developer

Ethics Advisor

Ethical Standards Advisor

Audit Architect

Prerequisites for Success

Basic knowledge of artificial intelligence, machine learning concepts, and their applications.
Understanding of the social, cultural, and political implications of AI technologies.
Understanding of professional ethics, including honesty, integrity, and responsibility.
Exposure to real-world case studies that highlight ethical dilemmas in AI, promoting practical understanding.
Ability to critically assess AI technologies and make ethical decisions in designing, deploying, and managing AI systems.
Familiarity with relevant laws, regulations, and industry standards that govern AI usage

Modules | 9

Examination | 1

Passing Score | 70%

COURSE AGENDA

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 System

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

4.1 Examination of Privacy Concerns Related to AI
4.2 Strategies for Ensuring the Security of AI Systems and Data

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 like IEEE’s Ethically Aligned Design
9.2 Comparative Case Studies on Standard Implementations
9.3 Tools for Evaluating AI Systems Against Global Standards