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AC-120
AI+ Ethics Fundamentals™
Formerly known as AI+ Ethics™
Navigate the Intersection of AI and Ethics in Business Landscape
Navigate the Intersection of AI and Ethics in Business Landscape
AI Agent DeveloperAI BusinessAI ProfessionalAI System Engineer
Enquire about this certificationAt a glance
What is 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
Recommended background
Basic knowledge of artificial intelligence, machine learning concepts, Python familiarity, fundamental AI/ML concepts
Examination
50 questions, 70% passing, 90 minutes, online proctored exam
About this certification
- 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
Curriculum
Course Overview+
- Course Introduction Preview
Module 1: Overview of AI Ethics & Societal Impact+
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+
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
Who should enrol
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.
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