Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

On the importance of monitoring and directing progress in AI

On the importance of monitoring and directing progress in AI AI MATTERS, VOLUME 3, ISSUE 3 SUMMER 2017 On the Importance of Monitoring and Directing Progress in AI Lukas Prediger (RWTH Aachen University; lukas.prediger@rwth-aachen.de) DOI: 10.1145/3137574.3137583 Abstract This essay argues that the speed with which AI development proceeds will be an important factor for a bene cial adoption and thus should be closely monitored and controlled, if necessary. It also discusses privacy and manipulation, inequality of access and (value learning) superintelligence as major issues for all development trajectories. Introduction Recent years have seen steady progress in the development and application of arti cial intelligence, mainly in the form of machine learning artifacts. The most prominent public achievements were DeepMind ™s AlphaGo mastering the Go board game last year (Hassabis, 2016) and, even more recently, Libratus, a program developed at Carnegie Mellon University, winning a match of Poker against professional players for the rst time in history (Condliffe, 2017). While these events mark important points in AI development, they represent only a small part of the state of the art . The more important, but not as spectacular, development is the ever increasing number of narrow AI programs, especially the powerful combination of data mining and machine learning applications http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png AI Matters Association for Computing Machinery

On the importance of monitoring and directing progress in AI

Prediger, Lukas
AI Matters , Volume 3 (3) – Oct 10, 2017
Download PDF
9 pages

Loading next page...
 
/lp/association-for-computing-machinery/on-the-importance-of-monitoring-and-directing-progress-in-ai-yBkfU5wQPG

References

References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.

Publisher
Association for Computing Machinery
Copyright
Copyright © 2017 by ACM Inc.
ISSN
2372-3483
DOI
10.1145/3137574.3137583
Publisher site
See Article on Publisher Site

Abstract

AI MATTERS, VOLUME 3, ISSUE 3 SUMMER 2017 On the Importance of Monitoring and Directing Progress in AI Lukas Prediger (RWTH Aachen University; lukas.prediger@rwth-aachen.de) DOI: 10.1145/3137574.3137583 Abstract This essay argues that the speed with which AI development proceeds will be an important factor for a bene cial adoption and thus should be closely monitored and controlled, if necessary. It also discusses privacy and manipulation, inequality of access and (value learning) superintelligence as major issues for all development trajectories. Introduction Recent years have seen steady progress in the development and application of arti cial intelligence, mainly in the form of machine learning artifacts. The most prominent public achievements were DeepMind ™s AlphaGo mastering the Go board game last year (Hassabis, 2016) and, even more recently, Libratus, a program developed at Carnegie Mellon University, winning a match of Poker against professional players for the rst time in history (Condliffe, 2017). While these events mark important points in AI development, they represent only a small part of the state of the art . The more important, but not as spectacular, development is the ever increasing number of narrow AI programs, especially the powerful combination of data mining and machine learning applications

Journal

AI Matters – Association for Computing Machinery

Published: Oct 10, 2017

There are no references for this article.