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Cited by 84Ethics and Social Impacts of AIDigitalization, Law, and RegulationArtificial Intelligence in Healthcare and Education

The Ethics of Artificial Intelligence: Examining the Ethical Considerations Surrounding the Development and Use of AI

Open access
Huriye, Aisha Zahid·2023·American Journal of Technology
DOI 10.58425/ajt.v2i1.142
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Abstract

Aim: AI systems can be complex and opaque, making it challenging to understand how they make decisions. This raises concerns about fairness and accountability, as individuals may not understand the factors that influence the decisions made by AI systems. The aim of this study was to examine the ethical considerations surrounding the development and use of AI. Methods: The study adopted a desktop research design. Relevant books reference and journal articles for the study were identified using Google Scholar. The inclusion criteria entailed materials that were related to the ethics of artificial intelligence. Results: The study found out that bias, privacy, accountability and transparency are the main ethical concerns that surround the development and use of AI technology in developed countries. Additionally, the studies emphasized the need for collaboration between stakeholders, including policymakers, researchers, and local communities, to ensure that ethical guidelines are developed and implemented. In African countries, the studies highlighted the need for a nuanced understanding of the cultural, political, and economic context of the region when considering ethical AI. Issues related to bias, data privacy, and the impact of AI on the labor market were identified as important ethical considerations in the region. Conclusion: This study emphasizes the need for a human-centered approach that prioritizes the needs and values of local communities, as well as greater engagement with local stakeholders in the development of ethical guidelines. Recommendation: The study recommend development and implementation of ethical guidelines for AI. Policymakers, developers, and researchers should work together to develop and implement ethical guidelines for AI systems. These guidelines should address issues related to bias, transparency, accountability, and privacy, and should be grounded in a commitment to promoting human well-being and social good.

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  • Organizations are adopting frameworks like the hourglass model of organizational AI governance to address the gap between ethical principles and their application.

    “To address the gap between ethical principles and their application, organizations are adopting frameworks like the hourglass model of organizational AI governance.”

    From AI Governance in Higher Education: Case Studies of Guidance at Big Ten Universities (2024) · cites this paper as [25]

    The Summary of Findings says AI ethics frameworks exist and calls for ethical considerations to be embedded in AI design and implementation. It does not mention the hourglass model or say that organizations are adopting it to bridge a gap between principles and practice. The Recommendations call for guidelines to be developed and implemented, rather than reporting such adoption. (LLM, conf=0.86)

    Experimental — accuracy not yet measured

  • The hourglass model emphasizes governance at environmental, organizational, and AI system levels, connecting ethical principles to the AI system lifecycle.

    “This model emphasizes the need for governance at environmental, organizational, and AI system levels, connecting ethical principles to the AI system lifecycle to ensure comprehensive governance [25].”

    From AI Governance in Higher Education: Case Studies of Guidance at Big Ten Universities (2024) · cites this paper as [25]

    The Summary of Findings and Recommendations discuss embedding ethics in AI design and implementation and developing guidelines with multiple stakeholders. Our copy does not discuss an hourglass model, governance at the three named levels, or a connection to the AI system lifecycle (searched: “hourglass model environmental organizational AI system levels” and “AI system lifecycle governance ethical principles”). (LLM, conf=0.72)

    Experimental — accuracy not yet measured

  • AI in critical energy decisions raises profound ethical concerns regarding algorithmic bias, data privacy, and accountability.

    “AI in critical energy decisions raises profound ethical concerns regarding algorithmic bias, data privacy, and accountability [38,62].”

    From Addressing Challenges for the Effective Adoption of Artificial Intelligence in the Energy Sector (2025) · cites this paper as [62]

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Authors
Huriye, A. Z.
Affiliations
Bilkent University (TR)
Corresponding author
Huriye, Aisha Zahid
Venue
American Journal of Technology
Publisher
Global Peer Reviewed Journals
Published
2023-04-25
Volume
2
Issue
1
Pages
37-45
ISSN
2958-4094 (ISSN-L)
DOI
10.58425/ajt.v2i1.142
OpenAlex
W4366997575
Cited by
84
References
18
Citations by year
2026: 16 · 2025: 34 · 2024: 33 · 2023: 1
FWCI
21.02
Type
journal article
Language
en
Open access
Locations
American Journal of Technology (publishedVersion)
Topics
  • Social Sciences › Safety Research › Ethics and Social Impacts of AI
  • Social Sciences › Law › Digitalization, Law, and Regulation
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Keywords
AI ethics, algorithmic bias, data privacy, accountability, transparency, algorithmic fairness, AI ethics guidelines, stakeholder collaboration, human-centered AI, African countries, developed countries

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