On the path to AI
eBook - ePub

On the path to AI

Law's prophecies and the conceptual foundations of the machine learning age

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

On the path to AI

Law's prophecies and the conceptual foundations of the machine learning age

About this book

This open access book explores machine learning and its impact on how we make sense of the world. It does so by bringing together two 'revolutions' in a surprising analogy: the revolution of machine learning, which has placed computing on the path to artificial intelligence, and the revolution in thinking about the law that was spurred by Oliver Wendell Holmes Jr in the last two decades of the 19th century. Holmes reconceived law as prophecy based on experience, prefiguring the buzzwords of the machine learning age—prediction based on datasets.

On the path to AI introduces readers to the key concepts of machine learning, discusses the potential applications and limitations of predictions generated by machines using data, and informs current debates amongst scholars, lawyers and policy makers on how it should be used and regulated wisely. Technologists will also find useful lessons learned from the last 120 years of legal grappling with accountability, explainability, and biased data.

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Yes, you can access On the path to AI by Thomas D. Grant,Damon J. Wischik in PDF and/or ePUB format, as well as other popular books in Social Sciences & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Front Matter
  3. 1. Two Revolutions
  4. 2. Getting Past Logic
  5. 3. Experience and Data as Input
  6. 4. Finding Patterns as the Path from Input to Output
  7. 5. Output as Prophecy
  8. 6. Explanations of Machine Learning
  9. 7. Juries and Other Reliable Predictors
  10. 8. Poisonous Datasets, Poisonous Trees
  11. 9. From Holmes to AlphaGo
  12. 10. Conclusion
  13. Back Matter