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Cited by 452Ethics and Social Impacts of AIImpact of AI and Big Data on Business and SocietyArtificial Intelligence Applications

Artificial Intelligence, Machine Learning, Automation, Robotics, Future of Work and Future of Humanity: A Review and Research Agenda

Wang, Weiyu, Siau, Keng·2019·Journal of Database Management
DOI 10.4018/jdm.2019010104
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Abstract

The exponential advancement in artificial intelligence (AI), machine learning, robotics, and automation are rapidly transforming industries and societies across the world. The way we work, the way we live, and the way we interact with others are expected to be transformed at a speed and scale beyond anything we have observed in human history. This new industrial revolution is expected, on one hand, to enhance and improve our lives and societies. On the other hand, it has the potential to cause major upheavals in our way of life and our societal norms. The window of opportunity to understand the impact of these technologies and to preempt their negative effects is closing rapidly. Humanity needs to be proactive, rather than reactive, in managing this new industrial revolution. This article looks at the promises, challenges, and future research directions of these transformative technologies. Not only are the technological aspects investigated, but behavioral, societal, policy, and governance issues are reviewed as well. This research contributes to the ongoing discussions and debates about AI, automation, machine learning, and robotics. It is hoped that this article will heighten awareness of the importance of understanding these disruptive technologies as a basis for formulating policies and regulations that can maximize the benefits of these advancements for humanity and, at the same time, curtail potential dangers and negative impacts.

Integrity signals

Registry

Crossref · 10.4018/jdm.2019010104

Cites

7 of 7 references verified0 citation errors · 0 not checkable

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Claims other papers make about this one

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  • Most experts concur that strong AI is either not likely to happen in the near future, or is unlikely to happen at all.

    “most experts concur that strong AI is either not likely to happen in the near future, or is unlikely to happen at all(Hagendorff & Wezel, 2019;Wang & Siau, 2019).”

    From Algorithms as work designers: How algorithmic management influences the design of jobs (2022) · cites this paper as Wang & Siau, 2019

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Authors
Wang, W., & Siau, K.
Affiliations
  • Missouri University of Science and Technology (US)
  • City University of Hong Kong (HK)
ORCID
Venue
Journal of Database Management
Publisher
IGI Global Scientific Publishing
Published
2019-01
Volume
30
Issue
1
Pages
61-79
ISSN
  • 1063-8016 (ISSN-L)
  • 1533-8010
DOI
10.4018/jdm.2019010104
OpenAlex
W2947134462
Cited by
452
References
7
Citations by year
2026: 57 · 2025: 89 · 2024: 83 · 2023: 71 · 2022: 65 · 2021: 63 · 2020: 18 · 2019: 6
FWCI
66.48
Type
journal article
Language
en
Open access
closed
Locations
Journal of Database Management (publishedVersion)
Topics
  • Social Sciences › Safety Research › Ethics and Social Impacts of AI
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
  • Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
Keywords
artificial intelligence, machine learning, automation, robotics, future of work, societal impact of technology, AI governance, AI policy and regulation, disruptive technologies, human-technology interaction, social norms

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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