On the path to AI
Law’s prophecies and the conceptual foundations of the machine learning age
Buch in deiner Nähe kaufen
Beschreibung
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.
Discusses the impacts and uses of machine learning Analogizes Oliver Wendell Holmes Jr's theory of prediction in law with AI Explores questions of how machine learning can be used and regulated wisely This is an Open Access title
Autor*in
Thomas D. Grant
Themen in »On the path to AI«
AI Machine learning artificial intelligence 'big data' probability theory history of ideas legal interpretation Transhumanism Futurism Oliver Wendell Holmes Jr Wendell Holmes Jr. legal philosophy machine bias algorithmic bias Open Access
Stimmen zu »On the path to AI«
“Finding an analogy in the legal philosophy of Oliver Wendell Holmes Jr., the authors provide a penetrating and fine-grained examination of artificial intelligence, a rich and forward-looking approach that should restrain exaggerated claims and guide a realistic assessment of AI's prospects.”
(Frederic R. Kellogg, author of Oliver Wendell Holmes Jr. and Legal Logic)
“There’s been a lot of discussion about how machine learning introduces or consolidates bias in AI due to its reliance on historic data. Who knew that law has been working on the social problems of the impact of precedent for over a century?”
(Joanna Bryson, Professor of Ethics and Technology, Hertie School, Germany)
()