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Cited by 533Ethics and Social Impacts of AIEthics in Business and EducationArtificial Intelligence Applications

Artificial Intelligence (AI) Ethics: Ethics of AI and Ethical AI

Siau, Keng, Wang, Weiyu·2020·Journal of Database Management
DOI 10.4018/jdm.2020040105
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Abstract

Artificial intelligence (AI)-based technology has achieved many great things, such as facial recognition, medical diagnosis, and self-driving cars. AI promises enormous benefits for economic growth, social development, as well as human well-being and safety improvement. However, the low-level of explainability, data biases, data security, data privacy, and ethical problems of AI-based technology pose significant risks for users, developers, humanity, and societies. As AI advances, one critical issue is how to address the ethical and moral challenges associated with AI. Even though the concept of “machine ethics” was proposed around 2006, AI ethics is still in the infancy stage. AI ethics is the field related to the study of ethical issues in AI. To address AI ethics, one needs to consider the ethics of AI and how to build ethical AI. Ethics of AI studies the ethical principles, rules, guidelines, policies, and regulations that are related to AI. Ethical AI is an AI that performs and behaves ethically. One must recognize and understand the potential ethical and moral issues that may be caused by AI to formulate the necessary ethical principles, rules, guidelines, policies, and regulations for AI (i.e., Ethics of AI). With the appropriate ethics of AI, one can then build AI that exhibits ethical behavior (i.e., Ethical AI). This paper will discuss AI ethics by looking at the ethics of AI and ethical AI. What are the perceived ethical and moral issues with AI? What are the gener…

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  • Literature on the ethics of AI use has noted significant concerns about surveillance, discrimination, and bias.

    “For example, literature on the ethics of AI use has noted significant concerns about surveillance, discrimination, and bias (Evans et al., 2023;Siau & Wang, 2020)”

    From Evolving intersections: AI, disability, and academic integrity in higher education (2025) · cites this paper as Siau & Wang, 2020

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Authors
Siau, K., & Wang, W.
Affiliations
Missouri University of Science and Technology (US)
ORCID
Venue
Journal of Database Management
Publisher
IGI Global Scientific Publishing
Published
2020-04-01
Volume
31
Issue
2
Pages
74-87
ISSN
  • 1063-8016 (ISSN-L)
  • 1533-8010
DOI
10.4018/jdm.2020040105
OpenAlex
W3006630858
Cited by
533
References
3
Citations by year
2026: 101 · 2025: 142 · 2024: 133 · 2023: 83 · 2022: 44 · 2021: 26 · 2020: 4
FWCI
53.40
Type
journal article
Language
ng
Open access
closed
Locations
Journal of Database Management (publishedVersion)
Topics
  • Social Sciences › Safety Research › Ethics and Social Impacts of AI
  • Social Sciences › Decision Sciences › Information Systems and Management › Ethics in Business and Education
  • Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
Keywords
AI ethics, ethical AI, machine ethics, explainability, data bias, data privacy, data security, AI regulation, ethical principles

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