Thoughtful Artificial Intelligence: Forging A New Partnership for Data Science and Scientific Discovery

Tracking #: 509-1489

Authors:



Responsible editor: 

Michel Dumontier

Submission Type: 

Article in Special Issue (specify below)

Abstract: 

Artificial intelligence will play an increasingly more prominent role in scientific research ecosystems, and will become indispensable as we tackle more integrative science questions. While in recent years computers have propelled science by crunching through big data, qualitatively different scientific advances will result from advanced intelligent technologies for crunching through knowledge and ideas. We propose seven principles for developing thoughtful artificial intelligence, which will propel intelligent systems to become partners for scientists. We present a research agenda for thoughtful artificial intelligence, and discuss its potential for in data science and scientific discovery.

Manuscript: 

Tags: 

  • Reviewed

Special issue (if applicable): 

Introductory issue

Data repository URLs: 

None

Date of Submission: 

Monday, July 24, 2017

Date of Decision: 

Wednesday, August 23, 2017

Decision: 

Accept

Solicited Reviews:


2 Comments

meta-review

This position paper presents an interesting vision and principles for effective AI in scientific research. The manuscript would benefit from further elaboration on why we need fully-featured AIs (rather than task-specific support tools), and that it include references beyond the author's work.