Principles Governing Ethical Development and Deployment of AI
Open accessAbstract
The ethical development and deployment of artificial intelligence (AI) is a rapidly evolving field with significant implications for society. This paper delves into the multifaceted ethical considerations surrounding AI, emphasising the importance of transparency, accountability, and privacy. By conducting a comprehensive review of existing literature and case studies, it highlights key ethical issues such as bias in AI algorithms, privacy concerns, and the societal impact of AI technologies. The study underscores the necessity for robust governance frameworks and international collaboration to address these ethical challenges effectively. It explores the need for ongoing ethical evaluation as AI technologies advance, particularly in autonomous systems. The paper emphasises the importance of integrating ethical principles into AI design from the outset, fostering sustainable practices, and raising awareness through education. Furthermore, the paper examines current regulatory frameworks across various regions, comparing their effectiveness in promoting ethical AI practices. The findings suggest a global consensus on key ethical principles, though their implementation varies widely. By proposing strategies to ensure responsible AI innovation and mitigate risks, this research contributes to the ongoing discourse on the future of AI ethics, aiming to guide the development of AI technologies that uphold human dignity and contribute to the common good. Research the ethical considerations and societal impacts of AI, focusing on issues like bias in AI algorithms, privacy concerns, or the effect on employment. This can involve a comprehensive review of existing literature and case studies.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Previous studies emphasize that trust, transparency, and ethical governance are foundational for the successful use of AI in education.
“These findings are consistent with previous studies [64,65], which emphasize that trust, transparency, and ethical governance are foundational for the successful use of AI in education.”
From Systematic review of artificial intelligence in education: trends, benefits, and challenges (2025) · cites this paper as [64]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
I.—COMPUTING MACHINERY AND INTELLIGENCE
TURING, A. M. (1950) · Mind · doi:10.1093/mind/lix.236.433 · Cited by 10,290 · see citing works
Performing systematic literature reviews in software engineering
Budgen, D., & Brereton, P. (2006) · International Conference on Software Engineering · doi:10.1145/1134285.1134500 · Cited by 8,824 · cited 5× · see citing works
“(Kitchenham and Charters, 2007) ● Evidence-Based Decision Making: Informed decision-making in the field of AI ethics requires a solid foundation of empirical evidence and scholarly insights.”
BackgroundInfluentialThe global landscape of AI ethics guidelines
Jobin, A., Ienca, M., & Vayena, E. (2019) · Nature Machine Intelligence · doi:10.1038/s42256-019-0088-2 · Cited by 6,220 · cited 1× · see citing works
“(Refer the White House's plan for an AI Bill of Rights: Ensuring that Automated Systems Benefit the American People 10 .”
BackgroundThe Ethics of AI Ethics: An Evaluation of Guidelines
Hagendorff, T. (2020) · Minds and Machines · doi:10.1007/s11023-020-09517-8 · Cited by 1,911 · see citing works
An Overview of Artificial Intelligence Ethics
Huang, C., Zhang, Z., Mao, B., & Yao, X. (2022) · IEEE Transactions on Artificial Intelligence · doi:10.1109/tai.2022.3194503 · Cited by 583 · see citing works
Artificial Intelligence (AI) Ethics: Ethics of AI and Ethical AI
Siau, K., & Wang, W. (2020) · Journal of Database Management · doi:10.4018/jdm.2020040105 · Cited by 533 · see citing works
Accountability in artificial intelligence: what it is and how it works
Novelli, C., Taddeo, M., & Floridi, L. (2024) · AI & SOCIETY · doi:10.1007/s00146-023-01635-y · Cited by 495 · cited 1× · see citing works
“When working with minority communities, this could lead to inaccurate or misclassified information 18 .”
BackgroundLegal and human rights issues of AI: Gaps, challenges and vulnerabilities
Rodrigues, R. (2020) · Journal of Responsible Technology · doi:10.1016/j.jrt.2020.100005 · Cited by 494 · cited 1× · see citing works
“● Recall Bias: This occurs when labels are applied inconsistently by subjective observations throughout the data labelling process 19 .”
BackgroundA Right to Reasonable Inferences: Re-Thinking Data Protection Law in the Age of Big Data and AI
Wachter, S., & Mittelstadt, B. (2018) · Columbia Academic Commons (Columbia University) · doi:10.7916/cblr.v2019i2.3424 · Cited by 454 · cited 1× · see citing works
“Federal organizations that focus on fairness and transparency, such as the FTC, offer guidelines on the usage of AI 25 .”
BackgroundEthics and Privacy in AI and Big Data: Implementing Responsible Research and Innovation
Stahl, B. C., & Wright, D. (2018) · IEEE Security & Privacy · doi:10.1109/msp.2018.2701164 · Cited by 374 · see citing works
Bias in AI-based models for medical applications: challenges and mitigation strategies
Mittermaier, M., Raza, M. M., & Kvedar, J. C. (2023) · npj Digital Medicine · doi:10.1038/s41746-023-00858-z · Cited by 372 · cited 1× · see citing works
“…in the surgical domain show potential as instruments for prognosticating surgical results, as computer vision tools to assist surgeons during intraoperative surgical navigation, and even as algorithms to evaluate technical proficiency and surgical performance(Mittermaier, Raza and Kvedar, 2023).”
BackgroundZajko, M. (2022) · Sociology Compass · doi:10.1111/soc4.12962 · Cited by 237 · cited 2× · see citing works
“…25 https://linkedin.com/pulse/ai-regulations-around-world-comprehensive-overview-kalpesh-prajapati Artificial Intelligence Industry Technology Innovation Strategic Alliance (AITISA), officially endorsed the principles on the day of their release 28 .”
BackgroundEthics of AI: a systematic literature review of principles and challenges
Khan, A. A., Badshah, S., Liang, P., Waseem, M., Khan, B., Ahmad, A., Fahmideh, M., Niazi, M., & Akbar, M. A. (2022) · The International Conference on Evaluation and Assessment in Software Engineering 2022 · doi:10.1145/3530019.3531329 · Cited by 170 · see citing works
Artificial Intelligence and Inequality: Challenges and Opportunities
Farahani, M. S., & Ghasemi, G. (2024) · Qeios · doi:10.32388/7hwuz2 · Cited by 62
Human visual explanations mitigate bias in AI-based assessment of surgeon skills
Kiyasseh, D., Laca, J., Haque, T. F., Otiato, M., Miles, B. J., Wagner, C., Donoho, D. A., Trinh, Q.-D., Anandkumar, A., & Hung, A. J. (2023) · npj Digital Medicine · doi:10.1038/s41746-023-00766-2 · Cited by 53 · cited 1× · see citing works
“The negative and positive predictive values of the AI-based forecasts were used to calculate the degrees of under skilling and over skilling, respectively(Kiyasseh, 2023).”
MethodEthical content in artificial intelligence systems: A demand explained in three critical points
Correa, A., & Serafim, M. C. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1074787 · Cited by 41 · see citing works
Advancing ethics review practices in AI research
Srikumar, M., Finlay, R., Abuhamad, G., et al. (2022) · Nature Machine Intelligence · doi:10.1038/s42256-022-00585-2 · Cited by 23 · cited 2×
“( Srikumar, 2022) Over the past decade, various private companies, research institutions, and public sector organisations have released principles and guidelines regarding ethical artificial intelligence (AI).”
BackgroundAI Accountability: Approaches, Affecting Factors, and Challenges
Raja, A. K., & Zhou, J. J. (2023) · Computer · doi:10.1109/mc.2023.3238390 · Cited by 21 · see citing works
Flagged first, then by citations
Research works printed but not linked: 4
- Devineni, Siva Karthik. (2024). AI in Data Privacy and Security.. International Journal of Artificial Intelligence and Machine Learning. 3. 35-49.
- Kundi, B., El Morr, C., Gorman, R., & Dua, E. (2023). Artificial Intelligence and Bias: A scoping review. AI and Society, 199-215.
- R. Van den Hoven van Genderen, "Privacy and data protection in the age of pervasive technologies in AI and robotics," Eur. Data Prot. L. Rev., vol. 3, pp. 338, 2017.
- Columbia Business Law Review (2019)
Cited by
Sorted by citations
Systematic review of artificial intelligence in education: trends, benefits, and challenges
Garzón, J., Patiño, E., & Marulanda, C. (2025) · Multimodal Technologies and Interaction · doi:10.3390/mti9080084 · Cited by 265 · see citing works
“These findings are consistent with previous studies [64,65], which emphasize that trust, transparency, and ethical governance are foundational for the successful use of AI in education.”
Ethical Problems in the Use of Artificial Intelligence by University Educators
Chinoracký, R., & Stalmašeková, N. (2025) · Education Sciences · doi:10.3390/educsci15101322 · Cited by 33 · see citing works
Altemimi, A. B., Awlqadr, F. H., AL-HATIM, R. R., et al. (2025) · eFood · doi:10.1002/efd2.70076 · Cited by 17 · see citing works
Mohammadi, A., & Maghsoudi, M. (2025) · AI & Society · doi:10.1007/s00146-025-02331-9 · Cited by 13 · see citing works
“Social media platforms provide a rich, real-time source of public discourse on AI, yet systematic studies leveraging this data to inform AI governance remain limited (Shukla 2024).”
XAI4RE – Using Explainable AI for Responsible and Ethical AI
Tal, A. S., & Sheidin, J. (2025) · ACM Conference on User Modeling, Adaptation and Personalization (UMAP) · doi:10.1145/3708319.3733707 · Cited by 3 · see citing works
“These ”black-box” models, while powerful, often operate in ways that are hard to understand, which may lead to transparency, trust, and accountability challenges, especially for laypeople [19, 27, 29, 40].”
Implementing strategic AI policies for ethical and sustainable smart cities
Okonta, E. D., Rahimian, F. P., Agu, N., & Michael, E. (2025) · Journal of Information Technology in Construction · doi:10.36680/j.itcon.2025.076 · Cited by 3 · see citing works
Situating Legal Rationalities and Regulatory Regimes Inside AI Design and Deployment Lifecycles
Alam, A. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-7996-8.ch001 · Cited by 3 · see citing works
Personalized Education in the Age of AI
Ellington, L. M. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-5097-4.ch013 · Cited by 3 · see citing works
Joseph, R., Wassie, L., Getachew, H., Wangari, D., Gitau, E., Pirmez, C., Laforest, D., Vashishtha, R., Samb, N. M., Ngcete, Z., et al. (2025) · AI and Ethics · doi:10.1007/s43681-025-00921-3 · Cited by 2 · see citing works
“Ethics was often introduced late in project cycles rather than embedded from the outset, undermining its preventive role and increasing risks i.e. reactive ethics, which "misses early harm mitigation opportunities [31 – 33].”
Kelhini, F. K. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5217663 · Cited by 1 · see citing works
Evolution and Future Perspectives in AI Ethics
González-Padilla, P., Fernández-Fernández, M., & Lacárcel, F. J. S. (2025) · Contributions to management science · doi:10.1007/978-3-031-88781-9_4
Saladié, N., Llorente, C., Joosten, R., & Revuelta, G. (2025) · doi:10.2196/preprints.81230
Coca-Cola's AI-Driven Customer Engagement Strategy
Zahara, M. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-3221-5.ch001
Joseph, R., Wassie, L., Getachew, H., et al. (2025) · doi:10.12688/verixiv.1832.1
Understanding the Role of AI in Mathematics Education
Özer, B., & Duran, V. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-1998-8.ch010
Ethical Implications of AI Integration in Legal Practice and Education
Saleem, M., Sanjaya, K., Kumar, A. B., et al. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-3451-6.ch008
Comparing Images of Depression in Mass Media and AI-Generated Pictures: Mixed Methods Study
Saladié, N., Llorente, C., Joosten, R., & Revuelta, G. (2026) · JMIR Human Factors · doi:10.2196/81230
“Second, the authors note that both AI technology and the ethical protocols that guide it evolve rapidly [52], as do people’s sentiments about it [53].”
İlkelerden Uygulamaya: Etik Yapay Zekâ Literatürünün Bibliyometrik Analizi
Dursun, F. (2026) · Bilgisayar Bilimleri ve Mühendisliği Dergisi · doi:10.54525/bbmd.1773768
Self-Optimizing Factories: The Role of Agentic Automation in Industry 4.0
Durga, R. K. (2025) · International Journal of Scientific Research and Modern Technology. · doi:10.38124/ijsrmt.v4i11.1049
Marwala, T. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-36322-1.00007-9
Lyman, B., Zhang, Y., Pearce, C., Kim, M., Harteveld, C., Chukoskie, L., & Schutter, B. D. (2026) · The Gerontologist · doi:10.1093/geront/gnag055 · Cited by 1 · see citing works
“Propagating these biases on a large scale could further harm marginalized populations (Shukla, 2024, p. 29).”
Komodromos, M. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-7021-7.ch006
Overview of Power, Progress, and AI in BRICS+, Global South, and the Global Struggle
Kikasu, E. T. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-7205-1.ch001
Kosuri, S., Singh, R., Khaire, R. B., et al. (2026) · doi:10.1109/icadcs70036.2026.11583590
“Nonetheless, the current frameworks do not tend to incorporate policy, technical, and organizational aspects in a single governance framework [5].”
Rethinking AI ethics as a temporal socio-technical system: a critical synthesis
Ali, A. (2026) · AI and Ethics · doi:10.1007/s43681-026-01317-7
- Authors
- Shukla, S.
- Corresponding author
- Shukla, Shubh
- Venue
- International Journal of Engineering Business and Management
- Publisher
- AI Publications
- Published
- 2024
- Volume
- 8
- Issue
- 2
- Pages
- 26-46
- ISSN
- 2456-7817 (ISSN-L)
- OpenAlex
- W4399750679
- Cited by
- 26
- References
- 18
- Citations by year
- 2026: 10 · 2025: 16
- FWCI
- 10.82
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- International Journal of Engineering Business and Management (publishedVersion, cc-by)
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Law › Digitalization, Law, and Regulation
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Keywords
- AI ethics, ethical AI development, algorithmic bias, privacy, transparency, accountability, AI governance, AI regulation, autonomous systems, responsible innovation, societal impact of AI, AI impact on employment, human dignity, artificial intelligence in education
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
