Gabriela Arriagada-Bruneau

Education

She holds a Bachelor’s degree in Philosophy from the Pontificia Universidad Católica de Chile, a Master of Science in Philosophy and Ethics from the University of Edinburgh, and a PhD in Philosophy, specializing in Applied AI Ethics, from the University of Leeds, England (where she was affiliated with the Centre for Applied Ethics, IDEA Centre, and the Leeds Institute for Data Analytics, LIDA).  She is currently an assistant professor of AI and Data Ethics in a joint appointment at the Institute of Applied Ethics and the Institute of Mathematical Engineering and Computing. She is also a young researcher at the National Center for Artificial Intelligence (CENIA).  Professor Arriagada has participated as an expert consultant for UNESCO in the development of ethical guidelines for neurotechnologies and as an expert in the discussion panels of the Chilean Senate’s Future Commission, contributing to the enactment of the country’s first AI legislation. From 2021 to 2023 she was Latam Lead for the World Ethical Data Foundation. She currently leads the Ethics Group of the Latam-GPT project at CENIA, the first language model created from and for Latin America, and serves as Ethics Director of the Artificial Intelligence Global Education Network (AIGEN).  She also participated in the sub-committee on “Ethics, Legal Frameworks and Fundamental Rights in the Era of AI” of the Senate’s Future Commission on AI and Security in 2025, and is an international expert on the scientific committee of the National Technology Integration Network (ReTINa) for Colombia’s National Artificial Intelligence Strategy, under the Ministry of ICT.  Her academic work is complemented by her scientific outreach activities, most notably her two recent books: “The Discursive Violence of Data: Disability, AI, and Ethics” (Editoriales UC, 2025) and “Algorithmic Biases: The Importance of Designing an Ethical and Inclusive Artificial Intelligence” (La Pollera, 2024). She also engages extensively with society through lectures, training sessions, and workshops for actors in the public and private sectors, including municipalities, companies, ministries, schools, and foundations.  Among her most recent projects, she has worked on: — Reconceptualization of vulnerability for understanding inclusive AI design. — New epistemic paradigms of AI-mediated scientific knowledge. — Ethical use of AI and data science for the protection and dissemination of cultural heritage. — A sociotechnical methodology for identifying biases in AI model development. — Development of an ethical working guide for technology transfer and research projects at CENIA. — The use of generative AI in education through chatbots and language models, and the ethical and epistemic assumptions underlying Learning Analytics. — A gender-perspective diagnosis of AI applications in healthcare in Chile. — A framework for integrating disability ethics and AI ethics. — Definitions of autism from social and neurocomputational perspectives. — Data and AI decolonialism for the representation of minorities.

Research

Publications

Research Articles:

• Araya, J.M. & Arriagada-Bruneau, G. (2025). A Pessimistic Approach to Griefbots: Free-Energy, Affective Scaffolds, and the Ethics of Human-Griefbot Interaction. Phenom Cogn Sci. https://doi.org/10.1007/s11097-025-10112-4
• Barahona, C., Arriagada-Bruneau, G. & Rodríguez, M.F. (2025). Exploring Students’ Perceptions of Active Learning in Teaching Ethical Deliberation: A Case Study in Higher Education. J Acad Ethics 23, 1897–1913. https://doi.org/10.1007/s10805-025-09633-z
• Arriagada-Bruneau, G., López, C. & Davidoff, A. (2025). A Bias Network Approach (BNA) to Encourage Ethical Reflection Among AI Developers. Sci Eng Ethics 31, 1. https://doi.org/10.1007/s11948-024-00526-9
• Arriagada Bruneau, G. & Arias, J. (2024). “How to Integrate AI Ethics into the Curriculum? Analysis and Recommendations from Science and Data Feminism.” Revista de Filosofía, 81: 137–160. https://doi.org/10.5354/0718-4360.2024.74905
• Arriagada-Bruneau, G. (2024). “A Critical Look at AI Ethics: From Emerging Concerns and Guiding Principles to an Ethical Unveiling.” Resonancias, 17: 101–120. DOI: 10.5354/0719-790X.2024.74438

Book Chapters:

• Arriagada-Bruneau, G. & Larrondo, N. (2025). “Gender in the Machine: Examining Gender Dynamics in Sex Robots, Chatbots, and AI Assistants.” In Handbook on Gender and Digital Media, Bachmann, I. & Harp, D. (eds.). Edward Elgar Publishing. https://doi.org/10.4337/9781035313570.00035
• Arriagada-Bruneau, G., Wajnermann, A. & López-Silva, P. (2025). AI and Neurotechnology Regulation in Chile: A Comparative Case Analysis. In: López-Silva, P. (ed.) Contextualizing Neuroprotection: Latin American Perspectives on the Impact of Neurotechnological Development in Life and Society. Ethics of Science and Technology Assessment, vol. 54. Springer, Cham. https://doi.org/10.1007/978-3-031-96055-0_15

Books:

• Arriagada B., G. (2025). “The Discursive Violence of Data: Disability, AI, and Ethics.” Editoriales UC.
• Arriagada Bruneau, G. (2024). Algorithmic Biases: The Importance of Designing an Ethical and Inclusive Artificial Intelligence. Editorial Pollera.
• Arriagada, G., Lopez, C. & Mendoza, M. (2025). Ethics in Artificial Intelligence and IT. CRC, Taylor and Francis. Routledge.

Non-indexed Articles / Dissemination Contributions:

• Arriagada Bruneau, G. in “AI voor iedereen: AI ontwerpen die eerlijk, transparant en verantwoord is” (Dutch) / AI for Everyone: Designing AI that is Fair, Transparent, and Responsible (2025). Ed. Erdinc Sacan. Vanduuren Media. 200 pp.
• Arriagada, G. & Wajnerman, A. (2024). “The Errors and Limitations Behind AI Algorithms: An Opportunity to Revalue the Human.” Revista Raíces, No. 7, Fundación Idea País. https://ideapais.cl/wp-content/uploads/2024/12/Revista_Raices-07.pdf
• Arriagada, G. (2023). “Re-Signifying Human Life in an Artificially Intelligent World.” La Revista Católica, No. 1218, pp. 35–40.
• López, C., Arriagada, G. & Davidoff, A. (2023). “How to Navigate the Path Toward AI Ethics?” Bits de Ciencia, No. 25. Department of Computer Science, University of Chile, pp. 36–43.
• Arriagada-Bruneau, G. & Arriagada, L. (2022). “AI’s Role in Creative Processes: A Functionalist Approach.” Odradek Special Edition “Creativity in the Light of AI” (Eds.) C. Moruzzi, M. Verdicchio, F. Fossa, Vol. 8, No. 1.
• Arriagada Bruneau, G. (2021). In “Inclusive Artificial Intelligence: Views of 40 Experts” (Dutch) – Fontys for Society, Netherlands. Ed. Erdinc Sacan, pp. 51–54.

Conference Papers:

• Tomova, G., Tennant, P.W.G., Arriagada Bruneau, G.C. & Gilthorpe, M.S. (2022). Distinguishing the Transparency, Explainability, and Interpretability of Algorithms. American Causal Inference Conference 2022 (ACIC), UC Berkeley, USA. DOI: 10.13140/RG.2.2.14665.42080
• Arriagada Bruneau, G.C., Tomova, G., Tennant, P.W.G. & Gilthorpe, M.S. (2021). The Dangers of Causally Unaware Ethical Frameworks for Health Data. Journal of Epidemiology and Community Health, 75(Suppl. 1): A83.2–A83. DOI: 10.1136/jech-2021-SSMabstracts.179

Work in Progress:

• Arriagada-Bruneau, G. & Wachter, T. (Under review). “Uncovering Blindspots: The Ethical Dimensions of Choosing Epistemic Paradigms in Learning Analytics.”
• Arriagada-Bruneau, G. (Under review). “Bias in the Machine? A Solution to the Isolationist Problem through a Sociotechnical Understanding of Bias in AI Ethics.”
• Wachter, T., Arriagada-Bruneau, G. & Wajnerman Paz, A. (Under review). “The Missing Body: 4E Cognition as a Guiding Principle for AI in Education.”
• Wajnerman Paz, A. & Arriagada-Bruneau, G. (Under review). “Widening the Spectrum of Cognitive Ontology: Autism as a Neural Environment.”