Influence of Artificial Intelligence on crowdsourcing: a systemic literature review, John Okoche, Marcia Mkansi, Wellington Chakuzira, Phumlani Masilela and Charles Olupot
Dr John Michael Maxel Okoche, Prof. Marcia Mkansi, Dr Wellington Chakuzira and Dr Phumlani Masilela
Department of Operations Management, University of South Africa, Muckleneuk Campus, Pretoria
South Africa
Email: okochjm@unisa.ac.za/okochem@gmail.com
Charles Olupot
Makerere University Business School
Kampala
Uganda
RECEIVED: 24 April 2024 / REVISED: 8 May 2024 / ACCEPTED: 1 July 2024 / PUBLISHED: 30 August 2024
ABSTRACT
PURPOSE: This chapter presents the influence of Artificial Intelligence (AI) on crowdsourcing.
DESIGN/METHODOLOGY/APPROACH: Using Systematic Literature Review (Prisma) 1,396 papers were identified, from the Scopus data base, screened 482 and finally selected 79 journal articles were uploaded on Zotero Reference Manager for analysis. Crowdsourcing, Artificial Intelligence (AI) features and Crowdsourcing Platforms aided the search.
FINDINGS: The study established that AI features: Machine Learning (ML), Deep Learning (DL), Automatic Speech Recognition (ASR), Natural Language Processing (NLP) and Natural Language Generation (NLG) improves crowdsourcing platforms.
ORIGINALITY: The chapter’s originality provides insight into how AI improves crowdsourcing is critical for developers and users of the different crowdsourcing applications.
IMPLICATIONS/LIMITATIONS: The chapter limitation is literature review, therefore, future research needs to undertake empirical research using qualitative and quantitative data collection, could strengthen the study. Theoretically, the chapter provides insight into strengthening and improvement of crowdsourcing platforms globally.
PRACTICAL IMPLICATION: Practically, AI improves crowdsourcing platforms. Developers and users of crowdsourcing platforms have to incorporate AI in crowdsourcing platforms.
KEYWORDS: Artificial Intelligence; Automatic Speech Recognition; Crowdsourcing; Deep Learning; Machine Learning.
CITATION: Okoche, J.M.M., et al. (2024): “Influence of Artificial Intelligence (AI) on crowdsourcing: A systematic literature review”, Artificial Intelligence and Data Science in Arab Countries 2024, Vol. 6, pp.173–195 (WASD: London, United Kingdom).