PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
October 1, 2010Minds and Machines136 citationsOpen Access

Developing Creativity: Artificial Barriers in Artificial Intelligence

KJKyle E. Jennings

Key Points

Key points are not available for this paper at this time.

Abstract

The greatest rhetorical challenge to developers of creative artificial intelligence systems is convincingly arguing that their software is more than just an extension of their own creativity. This paper suggests that “creative autonomy,” which exists when a system not only evaluates creations on its own, but also changes its standards without explicit direction, is a necessary condition for making this argument. Rather than requiring that the system be hermetically sealed to avoid perceptions of human influence, developing creative autonomy is argued to be more plausible if the system is intimately embedded in a broader society of other creators and critics. Ideas are presented for constructing systems that might be able to achieve creative autonomy.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Kyle E. Jennings (2010) studied this question.

synapsesocial.com/papers/6a1589c779ff98d0de4ec7c0https://doi.org/10.1007/s11023-010-9206-y
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Foundations of interpersonal attraction1975 · 374 citations
  2. 2Influence, New and expanded the psychology of persuasion2007 · 2,622 citations
  3. 3Group genius: the creative power of collaboration2007 · 918 citations
  4. 4Society, Culture, and Person: A Systems View of Creativity2014 · 1,300 citations
  5. 5The Accuracy of Verbal Reports About the Effects of Stimuli on Evaluations and Behavior1978 · 227 citations