What can crowd computing do for the next generation of AI systems?

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

19 Downloads (Pure)

Abstract

The unprecedented rise in the adoption of artificial intelligence techniques and automation in many contexts is concomitant with shortcomings of such technology with respect to robustness, interpretability, usability, and trustworthiness. Crowd computing offers a viable means to leverage human intelligence at scale for data creation, enrichment, and interpretation, demonstrating a great potential to improve the performance of AI systems and increase the adoption of AI in general. Existing research and practice has mainly focused on leveraging crowd computing for training data creation. However, this perspective is rather limiting in terms of how AI can fully benefit from crowd computing. In this vision paper, we identify opportunities in crowd computing to propel better AI technology, and argue that to make such progress, fundamental problems need to be tackled from both computation and interaction standpoints. We discuss important research questions in both these themes, with an aim to shed light on the research needed to pave a future where humans and AI can work together seamlessly, while benefiting from each other.

Original languageEnglish
Title of host publicationCSW 2020
Subtitle of host publicationProceedings of the Crowd Science Workshop: Remoteness, Fairness, and Mechanisms as Challenges of Data Supply by Humans for Automation co-located with 34th Conference on Neural Information Processing Systems (NeurIPS 2020)
EditorsD. Ustalov, F. Casati, A. Drutsa, D. Baidakova
PublisherCEUR
Pages7-13
Number of pages7
Volume2736
Publication statusPublished - 2020
Event2020 Crowd Science Workshop: Remoteness, Fairness, and Mechanisms as Challenges of Data Supply by Humans for Automation - Vancouver, Canada
Duration: 11 Dec 202011 Dec 2020

Publication series

NameCEUR Workshop Proceedings
PublisherCEUR-WS
Volume2736
ISSN (Print)1613-0073

Conference

Conference2020 Crowd Science Workshop: Remoteness, Fairness, and Mechanisms as Challenges of Data Supply by Humans for Automation
Abbreviated titleCSW 2020
CountryCanada
CityVancouver
Period11/12/2011/12/20

Fingerprint

Dive into the research topics of 'What can crowd computing do for the next generation of AI systems?'. Together they form a unique fingerprint.

Cite this