About the idea of Responsible Artificial Intelligence

Authors

DOI:

https://doi.org/10.24197/st.2.2025.129-150

Keywords:

digital cultures, digital transformation, responsible innovation, innovation studies, artificial intelligence

Abstract

The idea of Responsible Artificial Intelligence (RAI) has emerged in recent years as a reaction to the different challenges posed by the development of Artificial Intelligence (AI) in society. Through a cases study, including two campanies focused on the design and the development of AI systems in our country, the text argues that the RAI paradigm is still far from being popular outside these digital platforms and how the development of AI systems does not satisfactorily address the ethical and social implications associated with the deployment of AI systems.

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References

Anagnostou, Marianna, Olga Karvounidou, Chrysovalantou Katritzidaki, Christina Kechagia, Kyriaki Melidou, Eleni Mpeza, Ioannis Konstantinidis, Eleni Kapantai, Christos Berberidis, Ioannis Magnisalis, and Vassilios Peristeras. 2022. “Characteristics and Challenges in the Industries towards Responsible AI: A Systematic Literature Review.” Ethics and Information Technology 24(3).

Bender, Emily M., Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell. 2021. “On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?” Pp. 610–23 in FAccT 2021 - Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency. Association for Computing Machinery, Inc.

Broussard, Meredith. 2018. Artificial Unintelligence: How Computers Misunderstand the World. Cambridge, MA: The MIT Press.

Burget, Mirjam, Emanuele Bardone, and Margus Pedaste. 2017. “Definitions and Conceptual Dimensions of Responsible Research and Innovation: A Literature Review.” Science and Engineering Ethics 23(1):1–19. doi: 10.1007/s11948-016-9782-1.

Buruk, Banu, Perihan Elif Ekmekci, and Berna Arda. 2020. “A Critical Perspective on Guidelines for Responsible and Trustworthy Artificial Intelligence.” Medicine, Health Care and Philosophy 23(3):387–99. doi: 10.1007/s11019-020-09948-1.

Coeckelbergh, Mark. 2022. The Political Philosophy of AI. An Introduction. Cambridge: Polity Press.

Crawford, Kate. 2021. Atlas of AI. Power, Politics and the Planetary Costs of Artificial Intelligence. New Haven and London: Yale University Press.

Csiszar, Akos, Philipp Hein, Michael Wachter, Alexander Verl, and Angelika C. Bullinger. 2020. “Towards a User-Centered Development Process of Machine Learning Applications for Manufacturing Domain Experts.” Pp. 36–39 in Proceedings - 2020 3rd International Conference on Artificial Intelligence for Industries, AI4I 2020. Institute of Electrical and Electronics Engineers Inc.

Dauvergne, Peter. 2020. AI in the Wild. Sustainability in the Age of Artificial Intelligence. Cambridge, MA: The MIT Press.

Dignum, Virginia. 2017. “Responsible Artificial Intelligence: Designing AI for Human Values.” ICT Discoveries 25(1):1–8.

Eubanks, Virginia. 2018. Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor. New York: St. Martin’s Press.

Floridi, Luciano, Matthias Holweg, Mariarosaria Taddeo, Javier Amaya Silva, Jakob Mökander, and Yuni Wen. 2022. CapAI A Procedure for Conducting Conformity Assessment of AI Systems in Line with the EU Artificial Intelligence Act.

*anonimizado*

High-Level Expert Group on Artificial Intelligence. 2019. Ethics Guidelines for Trustworhty AI. Brussels.

Jammalamadaka, Krishna Ravali, and Srikanth Itapu. 2022. “Responsible AI in Automated Credit Scoring Systems.” AI and Ethics. doi: 10.1007/s43681-022-00175-3.

Jobin, Anna, Marcello Ienca, and Effy Vayena. 2019. “Artificial Intelligence: The Global Landscape of Ethics Guidelines.” Nature Machine Intelligence 389–99. doi: https://doi.org/10.1038/s42256-019-0088-2.

Knott, Eleanor, Aliya Hamid Rao, Kate Summers, and Chana Teeger. 2022. “Interviews in the Social Sciences.” Nature Reviews Methods Primers 2(1). doi: 10.1038/s43586-022-00150-6.

Kordzadeh, Nima, and Maryam Ghasemaghaei. 2022. “Algorithmic Bias: Review, Synthesis, and Future Research Directions.” European Journal of Information Systems 31(3):388–409.

Laureau, Annette. 2021. Listening to People. A Practical Guide to Interviewing, Participant Observation, Data Analysis, and Writing It All Up. Chicago: The University of Chicago Press.

Minkkinen, Matti, Markus Philipp Zimmer, and Matti Mäntymäki. 2023. “Co-Shaping an Ecosystem for Responsible AI: Five Types of Expectation Work in Response to a Technological Frame.” Information Systems Frontiers 25(1):103–21. doi: 10.1007/s10796-022-10269-2.

Mittelstadt, Brent Daniel, Patrick Allo, Mariarosaria Taddeo, Sandra Wachter, and Luciano Floridi. 2016. “The Ethics of Algorithms: Mapping the Debate.” Big Data and Society 3(2). doi: 10.1177/2053951716679679.

Morozov, Eugeny. 2013. To Save Everything, Click Here: The Folly of Technological Solutionism. New York: Public Affairs.

Nakao, Yuri, Lorenzo Strappelli, Simone Stumpf, Aisha Naseer, Daniele Regoli, and Giulia Del Gamba. 2022. “Towards Responsible AI: A Design Space Exploration of Human-Centered Artificial Intelligence User Interfaces to Investigate Fairness.” International Journal of Human–Computer Interaction 1–27. doi: https://doi.org/10.1080/10447318.2022.2067936.

Nowotny, Helga. 2021. In AI We Trust. Power, Illusion and Control of Predictive Algorithms. Cambridge: Polity Press.

Owen, Richard, and Mario Pansera. 2019. “Responsible Innovation and Responsible Research and Innovation.” Pp. 26–48 in Handbook on Science and Public Policy, edited by D. Simon, S. Kuhlmann, J. Stamm, and W. Canzle. Edward Elgar publishing.

van de Poel, Ibo, Lotte Asveld, Steven Flipse, Pim Klaassen, Zenlin Kwee, Maria Maia, Elvio Mantovani, Christopher Nathan, Andrea Porcari, and Emad Yaghmaei. 2020. “Learning to Do Responsible Innovation in Industry: Six Lessons.” Journal of Responsible Innovation 1–11. doi: 10.1080/23299460.2020.1791506.

Rip, Arie. 2014. “The Past and Future of RRI.” Life Sciences, Society and Policy 10(17):1–15. doi: 10.1902/jop.1939.10.1.31.

Ryan, Gery W., and H. Russell Bernard. 2003. “Techniques to Identify Themes.” Field Methods 15(1):85–109. doi: 10.1177/1525822X02239569.

Ryan, Mark. 2020. “In AI We Trust: Ethics, Artificial Intelligence, and Reliability.” Science and Engineering Ethics 26(5):2749–67. doi: 10.1007/s11948-020-00228-y.

Shin, Donghee, and Yong Jin Park. 2019. “Role of Fairness, Accountability, and Transparency in Algorithmic Affordance.” Computers in Human Behavior 98:277–84. doi: 10.1016/j.chb.2019.04.019.

Shneiderman, Ben. 2021. “Responsible AI: Bridging from Ethics to Practice.” Communications of the ACM 64(8):32–35.

Stahl, Bernd Carsten. 2023. “Embedding Responsibility in Intelligent Systems: From AI Ethics to Responsible AI Ecosystems.” Scientific Reports 13(1). doi: 10.1038/s41598-023-34622-w.

Stahl, Bernd Carsten, and David Wright. 2018. “Ethics and Privacy in AI and Big Data: Implementing Responsible Research and Innovation.” IEEE Security and Privacy 16(3):26–33. doi: 10.1109/MSP.2018.2701164.

Stilgoe, Jack, Richard Owen, and Phil Macnaghten. 2013. “Developing a Framework for Responsible Innovation.” Research Policy 42(9):1568–80. doi: http://dx.doi.org/10.1016/j.respol.2013.05.008.

*anonimizado*

*anonimizado*

*anonimizado*

Tambama, Madiega. 2022. Artificial Intelligence Act. European Parliament.

Zhu, Liming, Xiwei Xu, Qinghua Lu, Guido Governatori, and Jon Whittle. 2021. “AI and Ethics - Operationalising Responsible AI.” in Humanity Driven AI, edited by F. Chen and J. Zhou. Cham: Springer.

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Published

18/06/2025

How to Cite

Tabarés, R. (2025). About the idea of Responsible Artificial Intelligence. Sociología Y Tecnociencia, 15(2), 129–150. https://doi.org/10.24197/st.2.2025.129-150

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Articles