Collective intelligence or collecting intelligence?

Richard Absalom*, Dap Hartmann, Aelita Skaržauskiené

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review


The ‘Open Data’, ‘Open Knowledge’ and ‘Open Access’ movements promote the dissemination of information for societal benefit. Sharing information can benefit experts in a particular endeavour, and facilitate discovery and enhance value through data mining. On-going advances in Artificial Intelligence (AI) are accelerating the development of invention machines to which few individual information donors have access. Is the movement toward open information further empowering the few? Does open information promote collective intelligence, or does the collection of information both from and about many individuals present a collection of intelligence that can be leveraged by a very few? We propose the Durham Zoo project to develop a search-and-innovation engine built upon crowd-sourced knowledge. It is hoped that this will eventually contribute to the sharing of AI–powered innovation whilst funding academic research.

Original languageEnglish
Title of host publicationProceedings of Internet Science - 3rd International Conference, INSCI 2016
Number of pages7
Volume9934 LNCS
ISBN (Print)9783319459813
Publication statusPublished - 2016
Event3rd International Conference on Internet Science, INSCI 2016 - Florence, Italy
Duration: 12 Sept 201614 Sept 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9934 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference3rd International Conference on Internet Science, INSCI 2016


  • Artificial intelligence
  • Classification
  • Collective intelligence
  • Crowd sourcing
  • Fuzzy
  • Innovation
  • Problem solving
  • Search engine


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