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Data-Driven Decision-Making in Marketing: A Systematic Literature Review of Emerging Themes and Research Gaps

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Bias in AI: A Comprehensive Examination of Factors and Improvement Strategies

Bhandari, A. (2023) · International Journal of Computer Science and Engineering · doi:10.14445/23488387/ijcse-v10i6p102 · Cited by 6 · see citing works

Do you see what I see? Measuring the semantic differences in image‐recognition services' outputs

Berg, A., & Nelimarkka, M. (2023) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.24827 · Cited by 6 · see citing works

Exploiting Data Analytics for Social Services

Netten, N., Bargh, M. S., & Choenni, S. (2018) · International Conference on Theory and Practice of Electronic Governance · doi:10.1145/3209415.3209481 · Cited by 6 · see citing works

Note socio-giuridiche introduttive per una discussione su diritto, intelligenza artificiale e big data

Ferrari, V. (2021) · SOCIOLOGIA DEL DIRITTO · doi:10.3280/sd2020-003001 · Cited by 6 · see citing works

Can the Use of Data Analytics Tools Lead to Discriminatory Decisions?

Ebrahimi, S., & Hassanein, K. (2019) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2019.806 · Cited by 5 · see citing works

Biases in bias elicitation

Manzi, G., & Förster, M. (2018) · Communication in Statistics- Theory and Methods · doi:10.1080/03610926.2018.1500598 · Cited by 5 · see citing works

Black-Box Testing and Auditing of Bias in ADM Systems

Krafft, T. D., Hauer, M. P., & Zweig, K. A. (2024) · Minds and Machines · doi:10.1007/s11023-024-09666-0 · Cited by 3 · see citing works

Evaluation the impact of artificial intelligence (AI) on the implementation of merit criteria in employment in the public sector

Al-Saba, R. A.-Q. M. (2025) · Transforming Government People Process and Policy · doi:10.1108/tg-10-2024-0249 · Cited by 3 · see citing works

Discrimination for the sake of fairness by design and its legal framework

Hoch, H., Hertweck, C., Loi, M., & Tamò‐Larrieux, A. (2024) · Computer law & security review · doi:10.1016/j.clsr.2023.105916 · Cited by 3 · see citing works

RIGHT TO A FAIR-TRIAL WHEN APPLYING ARTIFICIAL INTELLIGENCE IN CRIMINAL JUSTICE - LESSONS AND EXPERIENCES FOR VIETNAM

Trang, N. T. T., Linh, N. H., Hoang, N. T. C., Kiet, P. V. T., Loan, L. T. N., & Phuc, N. T. H. (2024) · Journal of Law and Sustainable Development · doi:10.55908/sdgs.v12i3.601 · Cited by 3 · see citing works

Ethical Sensitivity in Machine Learning Development

Boyd, K. (2020) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/3406865.3418359 · Cited by 3 · see citing works

Eliminating Latent Discrimination: Train Then MaskPreprint

Ghili, S., Kazemi, E. M., & Karbasi, A. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3309776 · Cited by 3 · see citing works

Reuse of Data in Smart Cities: Legal and Ethical Frameworks for Big Data in the Public ArenaPreprint

Custers, B. H. M., & Ranchordás, S. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3491752 · Cited by 3 · see citing works

When to Collect Sensitive Category Data? Public Sector Considerations For Balancing Privacy and Freedom from Discrimination in Automated Decision Systems

Lenhart, A. (2022) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/3500868.3559460 · Cited by 2 · see citing works

Review of Role of AI in Data Warehousing and Mining

Athalye, S. S., & Athalye, S. S. (2023) · International Conference on Advances in Science and Technology (ICAST) · doi:10.1109/icast59062.2023.10454975 · Cited by 2 · see citing works

Profiling and Predictions: Challenges in Cybercrime Research Datafication

Custers, B. H. M. (2021) · Springer eBooks · doi:10.1007/978-3-030-74837-1_4 · Cited by 2 · see citing works

Investigating Sources and Effects of Bias in AI-Based Systems – Results from an MLR

Buitlear, C. D., Byrne, A., McEvoy, E., Camara, A., Yılmaz, M., McCarren, A. L., & Clarke, P. M. (2023) · Communications in computer and information science · doi:10.1007/978-3-031-42307-9_2 · Cited by 2 · see citing works

Generative Artificial Intelligence and Its Applications in Marketing

Brown, I. (2024) · doi:10.1002/9781394309436.ch12 · Cited by 2 · see citing works

Positive-Sum Fairness: Leveraging Demographic Attributes to Achieve Fair AI Outcomes Without Sacrificing Group Gains

Belhadj, S. A., Park, S., Seth, A., Dar, H., & Kooi, T. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-72787-0_6 · Cited by 1 · see citing works

Assessing the Role of Sensitive Attributes in Adversarial Debiasing

Minatel, D., Parmezan, A. R. S., Souza, V. M. A., & Rezende, S. O. (2025) · doi:10.5753/eniac.2025.12452 · Cited by 1 · see citing works

Fair Enough? On (Avoiding) Bias in Data, Algorithms and Decisions

Dechesne, F. (2020) · IFIP advances in information and communication technology · doi:10.1007/978-3-030-42504-3_2 · Cited by 1 · see citing works

De (on)mogelijkheden van machine learning voor het verminderen van bias en discriminatie bij personeelsbeslissingen

Hiemstra, A. M. F., Cassel, T., Born, M. P., & Liem, C. C. S. (2020) · Gedrag & Organisatie · doi:10.5117/2020.033.004.002 · Cited by 1 · see citing works

Privacy-Preserving Fair Machine Learning Without Collecting Sensitive Demographic Data

Hu, H., Borowczak, M., & Chen, Z. (2021) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn52387.2021.9534017 · Cited by 1 · see citing works

Ethical AI: Designing Responsible And Trustworthy Systems

Mana, S. C., Kalaiarasi, G., Selvi, D. M., Velvizhi, M. R., & Nair, M. M. C. (2023) · Jupiter Publications Consortium eBooks · doi:10.47715/jpc.978-93-91303-66-2 · Cited by 2 · see citing works

Facing fundamental rights in the age of preventive ex ante AI: a contemporary form of discrimination

Hernández, M. T. G.-B. (2024) · Deusto Journal of Human Rights · doi:10.18543/djhr.3191 · Cited by 1 · see citing works

Active Query of Private Demographic Data for Learning Fair Models

Liu, Y., & Lan, C. (2020) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/3340531.3412074 · Cited by 1 · see citing works

Discrimination for the sake of fairness by design and its legal framework

Hoch, H., Hertweck, C., Loi, M., & Tamò‐Larrieux, A. (2024) · Computer law & security review · doi:10.1016/j.clsr.2023.105916 · Cited by 3 · see citing works

Measuring discrimination in algorithmic decision making

Žliobaitė, I. (2017) · Data Mining and Knowledge Discovery · doi:10.1007/s10618-017-0506-1 · Cited by 272 · see citing works

Discrimination for the Sake of Fairness: Fairness by Design and Its Legal FrameworkPreprint

Hoch, H., Hertweck, C., Loi, M., & Tamò‐Larrieux, A. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3773766 · Cited by 1 · see citing works

Toward Accountable Discrimination-Aware Data Mining: The Importance of Keeping the Human in the Loop—and Under the Looking Glass

Berendt, B., & Preibusch, S. (2017) · Big Data · doi:10.1089/big.2016.0055 · Cited by 32 · see citing works

Big Data, Data Science, and Civil RightsPreprint

Barocas, S., Bradley, E., Honavar, V., & Provost, F. J. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1706.03102 · Cited by 11 · see citing works