Human-based computation: Difference between revisions

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{{Short description|Computer science technique}}

{{lead too short|date=October 2022}}

{{Use mdy dates|date=September 2017}}

'''Human-based computation''' ('''HBC'''), '''human-assisted computation''',<ref>{{cite web |url=https://commonsensereasoning.org/2007/papers/shahaf-and-amir.pdf |title=Towards a Theory of AI Completeness |author=Shahaf, Dafna; and Eyal Amir |date=28 March 2007 |access-date=12 May 2022}}</ref> '''ubiquitous human computing''' or '''distributed thinking''' (by analogy to [[distributed computing]]) is a [[computer science]] technique in which a machine performs its function by outsourcing certain steps to humans, usually as [[microwork]]. This approach uses differences in abilities and alternative costs between humans and computer agents to achieve symbiotic human–computer interaction. For computationally difficult tasks such as image recognition, human-based computation plays a central role in training [[Deep Learning]]-based [[Artificial intelligence|Artificial Intelligence]] systems. In this case, human-based computation has been referred to as '''human-aided artificial intelligence'''.<ref>{{Cite journal|last=Mühlhoff|first=Rainer|date=2019-11-06|title=Human-aided artificial intelligence: Or, how to run large computations in human brains? Toward a media sociology of machine learning |journal=New Media & Society |volume=22|issue=10|language=en|pages=1868–1884|doi=10.1177/1461444819885334|s2cid=209363848|issn=1461-4448|url=https://depositonce.tu-berlin.de/handle/11303/12510|doi-access=free}}</ref>