On the Path to AI: Conceptual Foundations of the Machine Learning Age

This 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.

It 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.

Pages : 175 pages
Size : PDF (163 pages) and ePub
File type : pdf
Downloads: 6
Created: 2020-08-29
License: CC BY 4.0
Author(s): Thomas D. Grant, Damon J. Wischik
On the Path to AI: Conceptual Foundations of the Machine Learning Age

Warning: Trying to access array offset on false in /home/tutovnfz/public_html/article.php on line 233

Others Artficial Intelligence Tutorials

Others related eBooks about On the Path to AI: Conceptual Foundations of the Machine Learning Age

Project Management Skills for All Careers

This textbook provides students with project management skills they can apply in any chosen profession. It offers practical, real-world insights for effective project management and guides you through the essentials of the people and project management. ...

Elements of Robotics

Download free course Elements of Robotics, pdf file on 311 pages by Mordechai Ben-Ari, Francesco Mondada....

Don't Just Roll the Dice

Download free course Don't Just Roll the Dice, pdf file on 74 pages by Neil Davidson....

HackSpace Magazine: Issue 47

Download free course HackSpace Magazine: Issue 47, pdf file on 116 pages by HackSpace Team....

A Brief Introduction to Machine Learning for Engineers

This book aims at providing an introduction to key concepts, algorithms, and theoretical frameworks in machine learning, including supervised and unsupervised learning, statistical learning theory, probabilistic graphical models and approximate inference. The intended readership consists of electric...

Software Innovation: Eight Work-style Heuristics for Creative System Developers

Software Innovation: eight work-style heuristics for creative system developers. ...

Lightweight Systems for Realtime Monitoring

Download free course Lightweight Systems for Realtime Monitoring, pdf file on 27 pages by Sam Newman....

Automated Machine Learning: Methods, Systems, Challenges

This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. ...

Marketing and Advertising Using Google

Download free course Marketing and Advertising Using Google, pdf file on 156 pages by Google, Karl Barksdale....

Migrating Big Data Analytics into the Cloud

Download free course Migrating Big Data Analytics into the Cloud, pdf file on 16 pages by Mike Barlow....