Research Publications
Atkins, A. A., Brown, M. S., & Dancy, C. L. (2021). Examining the Effects of Race on Human-AI Cooperation. In R. Thomson, M. N. Hussain, C. Dancy, & A. Pyke (Eds.), Social, Cultural, and Behavioral Modeling (Vol. 12720, pp. 279–288). Springer International Publishing.
Bartneck, C., Lütge, C., Wagner, A., & Welsh, S. (2021). An Introduction to Ethics in Robotics and AI. Springer International Publishing.
Borenstein, J., Arkin, R. C., & Wagner, A. R. (2022). A Metaethical Reflection: The Ethics of Embedding Ethics into Robots. 2022 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO), 1–3.
Birhane, A., Ruane, E., Laurent, T., S. Brown, M., Flowers, J., Ventresque, A., & L. Dancy, C. (2022). The forgotten margins of AI ethics. In 2022 ACM Conference on Fairness, Accountability, and Transparency (pp. 948-958).
Cotter, K. (2021). “Shadowbanning is not a thing”: Black box gaslighting and the power to independently know and credibly critique algorithms. Information, Communication & Society, 1–18.
Chen, S., Surendran, V., Wagner, A. R., Borenstein, J., & Arkin, R. C. (2022). Toward Ethical Robotic Behavior in Human-Robot Interaction Scenarios (arXiv:2206.10727).
Dancy, C. L. (2022). Using a Cognitive Architecture to consider antiblackness in design and development of AI systems. arXiv preprint arXiv:2207.00644.
Dancy, C. L., & Saucier, P. K. (2021). AI and Blackness: Towards moving beyond bias and representation. IEEE Transactions on Technology and Society, 1–1.
Plaisance, P., & Cruz, J. (2019). The Incorporation of Moral-Development Language for Machine-Learning Companion Robots. Computer Ethics - Philosophical Enquiry (CEPE) Proceedings, 2019(1).
Susser, D., & Grimaldi, V. (2021). Measuring Automated Influence: Between Empirical Evidence and Ethical Values. Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 242–253.
Susser, D. (2019). Invisible Influence: Artificial Intelligence and the Ethics of Adaptive Choice Architectures. Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 403–408.
Giovanola, B., & Tiribelli, S. (2023). Beyond bias and discrimination: Redefining the AI ethics principle of fairness in healthcare machine-learning algorithms. AI & SOCIETY, 38(2), 549–563.
Munn, L. (2023). The uselessness of AI ethics. AI and Ethics, 3(3), 869–877.
Ray, P. P. (2023). ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope. Internet of Things and Cyber-Physical Systems, 3, 121–154.
Sison, A. J. G., Daza, M. T., Gozalo-Brizuela, R., & Garrido-Merchán, E. C. (2023). ChatGPT: More than a Weapon of Mass Deception, Ethical challenges and responses from the Human-Centered Artificial Intelligence (HCAI) perspective
Zhuo, T. Y., Huang, Y., Chen, C., & Xing, Z. (2023). Red teaming ChatGPT via Jailbreaking: Bias, Robustness, Reliability and Toxicity (arXiv:2301.12867). arXiv.
Pessach, Dana, and Erez Shmueli. "Algorithmic fairness." arXiv preprint arXiv:2001.09784 (2020).
Cain, A. What is AI Ethics?
Romig, J. M. (2023). The Ethics of ChatGPT: A Legal Writing and Ethics Professor’s Perspective (SSRN Scholarly Paper No. 4373550).
Mhlanga, D. (2023). Open AI in Education, the Responsible and Ethical Use of ChatGPT Towards Lifelong Learning (SSRN Scholarly Paper No. 4354422).
Krügel, S., Ostermaier, A., & Uhl, M. (2023). The moral authority of ChatGPT (arXiv:2301.07098). arXiv.
Eke, D. O., Wakunuma, K., & Akintoye, S. (Eds.). (2023). Responsible AI in Africa: Challenges and Opportunities. Springer International Publishing.
Trim, M. (2023). Faking it and Breaking it: Responsible AI is needed Now. ACM SIGCAS Computers and Society, 51(3), 7–9.
Rodgers, W., Murray, J. M., Stefanidis, A., Degbey, W. Y., & Tarba, S. Y. (2023). An artificial intelligence algorithmic approach to ethical decision-making in human resource management processes. Human Resource Management Review, 33(1), 100925.
Liebrenz, M., Schleifer, R., Buadze, A., Bhugra, D., & Smith, A. (2023). Generating scholarly content with ChatGPT: Ethical challenges for medical publishing. The Lancet Digital Health, 5(3), e105–e106.
Leo-Liu, J. (2023). Loving a “defiant” AI companion? The gender performance and ethics of social exchange robots in simulated intimate interactions. Computers in Human Behavior, 141, 107620.
Cetinic, E., & She, J. (2022). Understanding and Creating Art with AI: Review and Outlook. ACM Transactions on Multimedia Computing, Communications, and Applications, 18(2), 1–22.
Hagendorff, T. (2022). Blind spots in AI ethics. AI and Ethics, 2(4), 851–867.
Huston, J. (2022). Artificial Intelligence as a Content Creator in the Publishing Industry. Book Publishing Final Research Paper.
Ibáñez, J. C., & Olmeda, M. V. (2022). Operationalising AI ethics: How are companies bridging the gap between practice and principles? An exploratory study. AI & SOCIETY, 37(4), 1663–1687.
Kieslich, K., Keller, B., & Starke, C. (2022). Artificial intelligence ethics by design. Evaluating public perception on the importance of ethical design principles of artificial intelligence. Big Data & Society, 9(1), 20539517221092956.
Li, Y., Gu, J., & Wang, L. (2020). Research on Artificial Intelligence Ethics in the Field of Art Design. Journal of Physics: Conference Series, 1673(1), 012052.
Nasim, S. F., Ali, M. R., & Kulsoom, U. (2022). Artificial Intelligence Incidents & Ethics A Narrative Review. International Journal of Technology, Innovation and Management (IJTIM), 2(2), Article 2.
Ayling, J., & Chapman, A. (2022). Putting AI ethics to work: Are the tools fit for purpose? AI and Ethics, 2(3), 405–429.
De Cremer, D., & Kasparov, G. (2022). The ethical AI—paradox: Why better technology needs more and not less human responsibility. AI and Ethics, 2(1), 1–4.
Ashok, M., Madan, R., Joha, A., & Sivarajah, U. (2022). Ethical framework for Artificial Intelligence and Digital technologies. International Journal of Information Management, 62, 102433.
Frye, B. L. (2022). Should Using an AI Text Generator to Produce Academic Writing Be Plagiarism? (SSRN Scholarly Paper No. 4292283).
Hagendorff, T. (2022). Blind spots in AI ethics. AI and Ethics, 2(4), 851–867.
Huang, C., Zhang, Z., Mao, B., & Yao, X. (2022). An Overview of Artificial Intelligence Ethics. IEEE Transactions on Artificial Intelligence, 1–21.
Ibáñez, J. C., & Olmeda, M. V. (2022). Operationalising AI ethics: How are companies bridging the gap between practice and principles? An exploratory study. AI & SOCIETY, 37(4), 1663–1687.
McLennan, S., Fiske, A., Tigard, D., Müller, R., Haddadin, S., & Buyx, A. (2022). Embedded ethics: A proposal for integrating ethics into the development of medical AI. BMC Medical Ethics, 23(1), 6.
Nasim, S. F., Ali, M. R., & Kulsoom, U. (2022). Artificial Intelligence Incidents & Ethics A Narrative Review. International Journal of Technology, Innovation and Management (IJTIM), 2(2), Article 2.
Schiff, D. (2022). Education for AI, not AI for Education: The Role of Education and Ethics in National AI Policy Strategies. International Journal of Artificial Intelligence in Education, 32(3), 527–563.
Wei, M., & Zhou, Z. (2022). AI Ethics Issues in Real World: Evidence from AI Incident Database (arXiv:2206.07635). arXiv.
Stahl, B. C. (2022). From computer ethics and the ethics of AI towards an ethics of digital ecosystems. AI and Ethics, 2(1), 65–77.
De Cremer, D., & Kasparov, G. (2022). The ethical AI—paradox: Why better technology needs more and not less human responsibility. AI and Ethics, 2(1), 1–4.
Bietti, E. (2021). From Ethics Washing to Ethics Bashing: A View on Tech Ethics from Within Moral Philosophy. SSRN Electronic Journal.
Borenstein, J., & Howard, A. (2021). Emerging challenges in AI and the need for AI ethics education. AI and Ethics, 1(1), 61–65.
Chi, N., Lurie, E., & Mulligan, D. K. (2021). Reconfiguring Diversity and Inclusion for AI Ethics. Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 447–457.
Shneiderman, B. (2021). Responsible AI: Bridging from ethics to practice. Communications of the ACM, 64(8), 32–35.
Dignum, V. (2018). Ethics in artificial intelligence: Introduction to the special issue. Ethics and Information Technology, 20(1), 1–3.
Eitel-Porter, R. (2021). Beyond the promise: Implementing ethical AI. AI and Ethics, 1(1), 73–80.
Morley, J., Elhalal, A., Garcia, F., Kinsey, L., Mökander, J., & Floridi, L. (2021). Ethics as a Service: A Pragmatic Operationalisation of AI Ethics. Minds and Machines, 31(2), 239–256.
McLennan, S., Lee, M. M., Fiske, A., & Celi, L. A. (2020). AI Ethics Is Not a Panacea. The American Journal of Bioethics, 20(11), 20–22.
Hagendorff, T. (2020). The Ethics of AI Ethics: An Evaluation of Guidelines. Minds and Machines, 30(1), 99–120.
Larsson, S. (2020). On the Governance of Artificial Intelligence through Ethics Guidelines. Asian Journal of Law and Society, 7(3), 437–451.
Shneiderman, B. (2020). Bridging the Gap Between Ethics and Practice: Guidelines for Reliable, Safe, and Trustworthy Human-centered AI Systems. ACM Transactions on Interactive Intelligent Systems, 10(4), 1–31.
Siau, K., & Wang, W. (2020). Artificial Intelligence (AI) Ethics: Ethics of AI and Ethical AI. Journal of Database Management (JDM), 31(2), 74–87.
Morley, J., Floridi, L., Kinsey, L., & Elhalal, A. (2020). From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices. Science and Engineering Ethics, 26(4), 2141–2168.
ÓhÉigeartaigh, S. S., Whittlestone, J., Liu, Y., Zeng, Y., & Liu, Z. (2020). Overcoming Barriers to Cross-cultural Cooperation in AI Ethics and Governance. Philosophy & Technology, 33(4), 571–593.
Rességuier, A., & Rodrigues, R. (2020). AI ethics should not remain toothless! A call to bring back the teeth of ethics. Big Data & Society, 7(2), 2053951720942541.
Schiff, D., Biddle, J., Borenstein, J., & Laas, K. (2020). What’s Next for AI Ethics, Policy, and Governance? A Global Overview. Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 153–158.
Terzis, P. (2020). Onward for the freedom of others: Marching beyond the AI Ethics [Preprint]. SocArXiv.
Washington, A. L., & Kuo, R. (2020). Whose side are ethics codes on?: Power, responsibility and the social good. Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, 230–240.
Mittelstadt, B. (2019). AI Ethics – Too Principled to Fail? SSRN Electronic Journal.
Berendt, B. (2019). AI for the Common Good?! Pitfalls, challenges, and ethics pen-testing. Paladyn, Journal of Behavioral Robotics, 10(1), 44–65.
Bertino, E., Kundu, A., & Sura, Z. (2019). Data Transparency with Blockchain and AI Ethics. Journal of Data and Information Quality, 11(4), 1–8.
Whittlestone, J., Nyrup, R., Alexandrova, A., & Cave, S. (2019). The Role and Limits of Principles in AI Ethics: Towards a Focus on Tensions. Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 195–200.
Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., Luetge, C., Madelin, R., Pagallo, U., Rossi, F., Schafer, B., Valcke, P., & Vayena, E. (2018). AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations. Minds and Machines, 28(4), 689–707.
Kleinberg, J., Ludwig, J., Mullainathan, S., & Rambachan, A. (2018). Algorithmic Fairness. AEA Papers and Proceedings, 108, 22–27.
d’Aquin, M., Troullinou, P., O’Connor, N. E., Cullen, A., Faller, G., & Holden, L. (2018). Towards an “Ethics by Design” Methodology for AI Research Projects. Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 54–59.
Shaw, N. P., Stöckel, A., Orr, R. W., Lidbetter, T. F., & Cohen, R. (2018). Towards Provably Moral AI Agents in Bottom-up Learning Frameworks. Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 271–277.
Yates, D. J., Gulati, G. J. J., & Weiss, J. W. (2013). Understanding the Impact of Policy, Regulation and Governance on Mobile Broadband Diffusion. 2013 46th Hawaii International Conference on System Sciences, 2852–2861.
Lin, J., Sadeh, N., Amini, S., Lindqvist, J., Hong, J. I., & Zhang, J. (2012). Expectation and purpose: Understanding users’ mental models of mobile app privacy through crowdsourcing. Proceedings of the 2012 ACM Conference on Ubiquitous Computing - UbiComp ’12, 501.
Dubber, M. D., Pasquale, F., & Das, S. (2020). The Oxford Handbook of Ethics of AI. Oxford University Press.