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Certification

Certified Specialist in AI & Machine Learning Ethics

Show the world you have AI skills with a certification that demonstrates your expertise in ethical AI and machine learning. Enhance your professional credibility and stay ahead as responsible innovation becomes essential across industries.

Multiple-choice exam, 70% to passCertificate for LinkedInBeginner · Intermediate

The exam

Take the certification exam

Multiple-choice questions about the course. Pass with 70% or more and your certificate is issued at once, with a public page and an "Add to LinkedIn" button.

What the exam covers

2 questions from each of the 15 chapters of the course

20 multiple-choice questions, drawn fresh for every attempt. Pass with 70% or more.

  1. 01Opening remarks2:08
  2. 02Intro to AI ethics8:44
  3. 03Basics of AI/ML7:45
  4. 04Neural networks7:19
  5. 05Datasets2:58
  6. 06Limitations and black boxes9:54
  7. 07Intro to ethics6:50
  8. 08Thought experiments6:28
  9. 09The singularity and AI risk10:10
  10. 10AI in healthcare6:29
  11. 11AI in education4:44
  12. 12AI in finance5:08
  13. 13AI in employment8:23
  14. 14AI and policy10:49
  15. 15Future of ethical AI4:03
About the course

The Certified Specialist in AI & Machine Learning Ethics certification provides a comprehensive understanding of the ethical considerations surrounding artificial intelligence and machine learning. By earning this certification, you will gain valuable skills such as improved decision-making, adaptability, and a competitive edge in navigating the evolving AI landscape. Enroll today to enhance your expertise and contribute responsibly to the future of technology.

This certification covers the following topics:

  • The Importance of AI Ethics
  • Bias in AI Systems
  • AI Alignment
  • The Black Box Problem
  • Ethical and Decision Frameworks
  • The Singularity and Existential Risks
  • Moral Status and Personhood of AI
  • AI in Specific Sectors and Ethical Implications
  • Regulating AI: Governance, Ethics Codes, and Global Approaches
  • The Future of AI and Ethical Development