AI+ Ethics Fundamentals™

Certificate Code: AC-120

Passing Score: 70% (35/50)

Exam Info: 50 MCQs, 90 Minutes

Tagline: Formerly known as AI+ Ethics™ <br> <br> Navigate the Intersection of AI and Ethics in Business Landscape

Course Overview:

Prerequisites:

Tools Used:

• AI4People (Atomium - European Institute for Science, Media, and Democracy)
• IBM - AI Fairness 360
• IBM - AI Explainability 360
• European Commission High-Level Expert Group on AI

Modules:

• Course Overview
  1. Course Introduction Preview
• Module 1: Foundations of AI Ethics and Responsible AI
  1. 1.1 Understanding AI in a Modern Ethics Context
  2. 1.2 The Societal Impact of AI Technologies
  3. 1.3 Core Principles and Stakeholders
  4. 1.4 Building AI Literacy for the Workplace
  5. 1.5 Human Rights, Democracy, and AI Ethics
  6. 1.6 Case Studies
• Module 2: Bias, Fairness, and Inclusion in AI
  1. 2.1 Where Bias Enters AI Systems
  2. 2.2 Fairness Concepts and Practical Evaluation
  3. 2.3 Mitigation and Inclusive Design
  4. 2.4 Applied Fairness Cases
  5. 2.5 Case Studies
• Module 3: Transparency, Explainability, and Documentation
  1. 3.1 Why Transparency Matters
  2. 3.2 Explainability Methods and Documentation Standards
  3. 3.3 Communicating AI Decisions Responsibly
  4. 3.4 Transparency, Documentation, and Governance Practices
  5. 3.5 Case Studies
• Module 4: Privacy, Security, and AI Data Governance
  1. 4.1 Privacy Principles in AI
  2. 4.2 AI Data Governance and Data Quality
  3. 4.3 Security Risks in AI Systems
  4. 4.4 Privacy-Preserving AI Techniques
  5. 4.5 Content Authenticity, Provenance, and Trust
  6. 4.6 Real World Case Studies
• Module 5: Accountability, Oversight, and AI Governance
  1. 5.1 Accountability Across the AI Lifecycle
  2. 5.2 Human Oversight and Control
  3. 5.3 Risk Management and Assurance
  4. 5.4 Red Teaming and Safety Testing
  5. 5.5 Governance Operating Model
  6. 5.6 Grievance and Remedy Processes
  7. 5.7 System Retirement and Decommissioning
  8. 5.8 Applied Case Studies
• Module 6: Legal, Regulatory, and Standards Landscape
  1. 6.1 International Principles and Treaties
  2. 6.2 Management and Technical Standards
  3. 6.3 Binding Regional Laws
  4. 6.4 National Guidance and Voluntary Frameworks
  5. 6.5 Sector-Specific and Cross-Border Compliance
  6. 6.6 Case Studies
• Module 7: Generative AI, Agentic AI, and Responsible Deployment
  1. 7.1 How Modern Generative and Agentic AI Systems Work
  2. 7.2 New Risks Introduced by Generative AI
  3. 7.3 Agentic AI Risks and Governance
  4. 7.4 Evaluation and Safe Deployment
  5. 7.5 Responsible Use Cases and Boundaries
• Module 8: Capstone - AI Ethics Impact Assessment and Governance Plan
  1. 8.1 Select an AI Use Case
  2. 8.2 Perform an Ethics and Risk Assessment
  3. 8.3 Develop an AI Governance Package Using the NIST AI RMF
  4. 8.4 Final Capstone Deliverable
  5. 8.5 Review and Reflection
• Optional Module: AI Agents for Ethics
  1. 1.1 What Are AI Agents?
  2. 1.2 Applications and Trends of AI Agents for Ethics
  3. 1.3 How Does an AI Agent Work?
  4. 1.4 Core Characteristics of AI Agents
  5. 1.5 Importance of AI Agents
  6. 1.6 Types of AI Agents

What You’ll Learn:

• Strategic Thinking — Learners will examine AI technologies and their commercial consequences, which involves planning strategically and make AI integration decisions for their organizations.
• Ethical-Decision Making Skills — Students will learn to navigate AI's complex ethical issues by identifying ethical concerns, applying ethical decision-making frameworks, and ensuring accountability in AI initiatives.
• Project Management — Participants will learn to develop, implement, and monitor AI initiatives while addressing bias, fairness, transparency, privacy, and security.
• Compliance and Governance Norms and Practices — Students will learn about AI law and regulation, focusing on ensuring AI systems comply with legal requirements and applying governance best practices to mitigate risks, maintain transparency, and uphold accountability.

Career Opportunities:

• Ethics Advisor — Advise on AI development and deployment ethical issues. Ensure justice, openness, and accountability in AI technology, supporting responsible innovation.
• Policy Developer — Formulate and implement ethical and regulatory frameworks for AI adoption and governance to ensure responsible and equitable deployment.
• Ethical Standards Advisor — Provide guidance on ethical considerations in AI development and deployment, ensuring adherence to ethical principles and societal values.
• Audit Architect — Design and implement systems for ethical compliance and accountability in AI applications, conducting audits to detect and mitigate ethical risks.

Exam Blueprint:

• Foundations of AI Ethics and Responsible AI – 7%
• Bias, Fairness, and Inclusion in AI – 15%
• Transparency, Explainability, and Documentation – 15%
• Privacy, Security, and AI Data Governance – 15%
• Accountability, Oversight, and AI Governance – 12%
• Legal, Regulatory, and Standards Landscape – 12%
• Generative AI, Agentic AI, and Responsible Deployment – 12%
• Capstone - AI Ethics Impact Assessment and Governance Plan – 12%

Self-Study Materials:

• Videos: Engaging visual content to enhance understanding and learning experience.
• Podcasts: Insightful audio sessions featuring expert discussions and real-world cases.
• Audiobooks: Listen and learn anytime with convenient audio-based knowledge sharing.
• E-Books: Comprehensive digital guides offering in-depth knowledge and learning support.
• Hands-on: Practical experience through real-world exercises, case studies, and applied learning.
• Module Wise Quizzes: Interactive assessments to reinforce learning and test conceptual clarity.
• Additional Resources: Supplementary references and list of tools to deepen knowledge and practical application.

Frequently Asked Questions:

• Q: Why is there a growing demand for ethics professionals in AI?
  A: Organizations increasingly recognize the importance of ethical considerations in AI to mitigate risks, ensure fair decision-making, and maintain a positive brand image.
• Q: Who should take the AI+ Ethics Fundamentals™ Certification?
  A: This certification is ideal for business leaders, AI developers, and ethics professionals in both business and government sectors. It is particularly beneficial for those looking to enhance their understanding of ethical AI practices and make informed decisions in AI deployment.
• Q: How will this certification benefit my career?
  A: Obtaining the AI+ Ethics Fundamentals™ certification demonstrates a commitment to ethical AI practices, enhancing personal credibility and professional development. It equips individuals with the skills needed to navigate complex ethical aspects of AI, promoting responsible innovation and building public trust in AI technologies.
• Q: How does the AI+ Ethics Fundamentals™ Certification help in career advancement?
  A: Professionals with this certification are recognized for their expertise in ethical AI practices, making them valuable assets to organizations and potentially leading to career growth opportunities.
• Q: How can organizations benefit from having employees with AI+ Ethics Fundamentals™ Certification?
  A: Organizations with certified employees can better navigate the complexities of AI implementation, ensuring ethical practices are followed, which can protect and enhance their reputation and operational integrity.
• Q: How long does the certification process take?
  A: The course is designed for flexibility, allowing participants to learn at their own pace, making it possible to complete based on individual schedules.

Certificate Features:

• High-Quality Video, E-book & Audiobook
• Modules Quizzes
• AI Mentor
• Access for Tablet & Phone
• Online Proctored Exam with One Free Retake
• Hands-on Practices