AI+ Ethics™
Navigate the Intersection of AI and Ethics in Business Landscape
Certificate Code:
AC-120
About This Course
- Responsible AI Focus: Master ethical AI use aligned with business and societal values
- Risk Mitigation: Learn to manage compliance, transparency, and AI decision-making
- Strategic Guidance: Integrate ethical practices into AI adoption and leadership
- Reputation Builder: Build organisational trust and credibility in AI deployments
Certificate Overview
Included
Instructor-led OR Self-paced course + Official exam + Digital badge
Duration
- Instructor-Led: 1 day (live or virtual)
- Self-Paced: 8 hours of content
Prerequisites
Basic knowledge of artificial intelligence, machine learning concepts, Python familiarity, fundamental AI/ML concepts
Exam Format
50 questions, 70% passing, 90 minutes, online proctored exam
Course Modules
1
Course Overview
- Course Introduction Preview
2
3
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
4
5
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.
6
Module 5: Accountability and Responsibility
- 5.1 Concepts of Accountability in AI Development and Deployment
- 5.2 Responsibilities of AI Practitioners and Organizations
7
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
8
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
9
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
10
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
11
Optional Module: AI Agents for Ethics and Its Implications
- 1. Understanding AI Agents
- 2. Case Studies
- 3. Hands-On Practice with AI Agents
AI Tools You'll Learn
AI4People (Atomium - European Institute for Science, Media, and Democracy)
IBM - AI Fairness 360
IBM - AI Explainability 360
