On the path to AI : Law's prophecies and the conceptual foundations of the machine learning age / by Thomas D. Grant, Damon J. Wischik.
2020
Formats
| Format | |
|---|---|
| BibTeX | |
| MARCXML | |
| TextMARC | |
| MARC | |
| DublinCore | |
| EndNote | |
| NLM | |
| RefWorks | |
| RIS |
Items
Details
Author
Title
On the path to AI : Law's prophecies and the conceptual foundations of the machine learning age / by Thomas D. Grant, Damon J. Wischik.
Added Author
Added Corporate Author
Edition
1st ed. 2020.
Imprint
Cham : Springer International Publishing : Imprint: Palgrave Macmillan, 2020.
Description
XXII, 147 p. 4 illus. online resource
Formatted Contents Note
Prologue: Starting with logic
CHAPTER 1: Two Revolutions
CHAPTER 2: Getting past logic
CHAPTER 3: Experience and data as input
CHAPTER 4: Finding patterns as the path from input to output
CHAPTER 5: Output as prophecy
CHAPTER 6: Explanations of machine learning
CHAPTER 7: Juries and other reliable predictors
CHAPTER 8: Poisonous datasets, poisonous trees
CHAPTER 9: From Holmes to AlphaGo
CHAPTER 10:Conclusion
EPILOGUE: Lessons in two directions.
CHAPTER 1: Two Revolutions
CHAPTER 2: Getting past logic
CHAPTER 3: Experience and data as input
CHAPTER 4: Finding patterns as the path from input to output
CHAPTER 5: Output as prophecy
CHAPTER 6: Explanations of machine learning
CHAPTER 7: Juries and other reliable predictors
CHAPTER 8: Poisonous datasets, poisonous trees
CHAPTER 9: From Holmes to AlphaGo
CHAPTER 10:Conclusion
EPILOGUE: Lessons in two directions.
Summary
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. .
Location
www
In
Springer Nature eBook
Available in Other Form
Printed edition:
Printed edition:
Printed edition:
Access Note
Open Access
Linked Resources
Alternate Title
SpringerLink electronic monographs.
Language
English
ISBN
9783030435820
Record Appears in