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Video course · 15 chapters · 102 min · certificate

The Ethics of AI & Machine Learning [Full Course]

A non-technical course on the ethics of AI and machine learning: AI/ML basics, neural networks, datasets, black boxes and limitations, ethical frameworks, thought experiments, the singularity and AI risk, AI in healthcare, education, finance and employment, AI policy and the future of ethical AI.

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What you'll learn

  • Explain AI/ML basics and neural networks
  • Recognise dataset issues and black-box limits
  • Apply ethical frameworks to AI
  • Discuss the singularity and AI risk
  • Assess AI ethics in key sectors
  • Understand AI policy directions

Chapters

15 chapters · 101:52
  1. 2:08 01Intro Members Opening remarks Why AI ethics.
  2. 8:44 02Ethics Members Intro to AI ethics Beyond the tech.
  3. 7:45 03Basics Members Basics of AI/ML Learning from data.
  4. 7:19 04Networks Members Neural networks Learning cats.
  5. 2:58 05Data Members Datasets Faces and labels.
  6. 9:54 06Black box Members Limitations and black boxes Hard to explain.
  7. 6:50 07Frameworks Members Intro to ethics Moral tools.
  8. 6:28 08Turing Members Thought experiments Shaping AI.
  9. 10:10 09Risk Members The singularity and AI risk Hypothetical point.
  10. 6:29 10Healthcare Members AI in healthcare Early diagnosis.
  11. 4:44 11Education Members AI in education Personalised learning.
  12. 5:08 12Finance Members AI in finance Trading and fraud.
  13. 8:23 13Jobs Members AI in employment Workforce impact.
  14. 10:49 14Policy Members AI and policy Encode Justice.
  15. 4:03 15Future Members Future of ethical AI Recap.