What’s Included?
High-Quality Video, E-book & Audiobook
Modules Quizzes
AI Mentor
Access for Tablet & Phone
Online Proctored Exam with One Free Retake
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.
Self Study Materials Included
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.
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.
Tools You’ll Master
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
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.
Course Modules
Course Overview
- Course Introduction Preview
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 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
Frequently Asked Questions
Organizations increasingly recognize the importance of ethical considerations in AI to mitigate risks, ensure fair decision-making, and maintain a positive brand image.
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.
Obtaining the AI+ Ethics™ 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.
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.
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.
The course is designed for flexibility, allowing participants to learn at their own pace, making it possible to complete based on individual schedules.