AI+ EthicsTM
This program equips learners to navigate the ethical use of AI in business by mastering responsible practices, mitigating risks, integrating ethical strategies, and building organizational trust.
AI+ EthicsTM
This program equips learners to navigate the ethical use of AI in business by mastering responsible practices, mitigating risks, integrating ethical strategies, and building organizational trust.
Why This Certification Matters?
What You'll Learn?
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
2.1 Exploration of Biases in Data and Algorithms
2.2 Strategies for Mitigating Bias and Ensuring Fairness in AI Systems
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
4.1 Study frameworks for holding organizations accountable for the ethical use of AI.
4.2 Why it matters: Ensures ethical AI deployment and helps mitigate the consequences of potential misuse or harm.
5.1 Concepts of Accountability in AI Development and Deployment
5.2 Responsibilities of AI Practitioners and Organizations
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
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
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
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
1. Understanding AI Agents
2. Case Studies
3. Hands-On Practice with AI Agents
Job Roles & Industry Outlook
Skills You’ll Gain
AI Ethics Principles
Risk Mitigation Strategies
Ethical AI Application Design
Fairness in AI Systems
Decision-Making in AI Governance
Regulatory and Compliance Knowledge
Ethical Leadership in AI
Impact Assessment of Ethical Violations
Tools You’ll Master
Tools You’ll Master
Prerequisites
- 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.
Exam Details
Duration
Passing Score
Format
Delivery Method
Exam Blueprint
- Overview of AI Ethics & Societal Impact – 10%
- Bias and Fairness in AI – 5%
- Transparency and Explainable AI – 10%
- Privacy and Security Issues in AI – 5%
- Accountability and Responsibility – 10%
- Legal and Regulatory Issues – 15%
- Ethical Decision-Making Frameworks – 15%
- AI Governance & Best Practices – 15%
- Global AI Ethics Standards – 15%
Choose the Format That Fits Your Schedule
What’s Included (One-Year Subscription + All Updates):
- High-Quality Videos, E-book (PDF & Audio), and Podcasts
- AI Mentor for Personalized Guidance
- Quizzes, Assessments, and Course Resources
- Online Proctored Exam with One Free Retake
- Comprehensive Exam Study Guide
- Access for Tablet & Phone
Self-Paced Online
● Learn anywhere, anytime, with modular quizzes to track progress