Anticipating Risks and Identifying Governance Measures for the Use of genAI and FPT: Citizens’ Perspectives Across Six Countries

Chiara Ullstein, Michel Hohendanner, Jens Grossklags
Proceedings of Fourth European Workshop on Algorithmic Fairness, PMLR 294:389-395, 2025.

Abstract

With the increasingly rapid development and release of AI systems, policy discourses primarily take place on an expert level. Aiming to broaden the discourse, we propose the exploration of laypeople’s informed opinions as a measure to evaluate the social impact of AI systems, and to inform forward-looking policies. We conceived and organized a dialogue series, the \textit{Global AI Dialogues}, inviting citizens around the world to engage, discuss, and contribute their perspectives on AI. The goal was to better understand how people worldwide evaluate the (social) impact of AI on their everyday lives today and in the future, given the real-world challenges of their local contexts. During the dialogues, 284 participants across six countries (Germany, Nigeria, Japan, India, Mexico, Bolivia) critically engaged with what a desirable future in light of generative AI (genAI) and Facial Processing Technologies (FPT) could look like. They explored the consequences of technology deployment, assessed risks, mapped stakeholders, and derived measures to achieve a desirable goal. We contribute to the workshop by presenting a participatory procedure to identify high-priority risks and where to focus governance efforts, from the perspective of citizens.

Cite this Paper

BibTeX
@InProceedings{pmlr-v294-ullstein25a, title = {Anticipating Risks and Identifying Governance Measures for the Use of genAI and FPT: Citizens’ Perspectives Across Six Countries}, author = {Ullstein, Chiara and Hohendanner, Michel and Grossklags, Jens}, booktitle = {Proceedings of Fourth European Workshop on Algorithmic Fairness}, pages = {389--395}, year = {2025}, editor = {Weerts, Hilde and Pechenizkiy, Mykola and Allhutter, Doris and Corrêa, Ana Maria and Grote, Thomas and Liem, Cynthia}, volume = {294}, series = {Proceedings of Machine Learning Research}, month = {30 Jun--02 Jul}, publisher = {PMLR}, pdf = {https://raw.githubusercontent.com/mlresearch/v294/main/assets/ullstein25a/ullstein25a.pdf}, url = {https://proceedings.mlr.press/v294/ullstein25a.html}, abstract = {With the increasingly rapid development and release of AI systems, policy discourses primarily take place on an expert level. Aiming to broaden the discourse, we propose the exploration of laypeople’s informed opinions as a measure to evaluate the social impact of AI systems, and to inform forward-looking policies. We conceived and organized a dialogue series, the \textit{Global AI Dialogues}, inviting citizens around the world to engage, discuss, and contribute their perspectives on AI. The goal was to better understand how people worldwide evaluate the (social) impact of AI on their everyday lives today and in the future, given the real-world challenges of their local contexts. During the dialogues, 284 participants across six countries (Germany, Nigeria, Japan, India, Mexico, Bolivia) critically engaged with what a desirable future in light of generative AI (genAI) and Facial Processing Technologies (FPT) could look like. They explored the consequences of technology deployment, assessed risks, mapped stakeholders, and derived measures to achieve a desirable goal. We contribute to the workshop by presenting a participatory procedure to identify high-priority risks and where to focus governance efforts, from the perspective of citizens.} }
Endnote
%0 Conference Paper %T Anticipating Risks and Identifying Governance Measures for the Use of genAI and FPT: Citizens’ Perspectives Across Six Countries %A Chiara Ullstein %A Michel Hohendanner %A Jens Grossklags %B Proceedings of Fourth European Workshop on Algorithmic Fairness %C Proceedings of Machine Learning Research %D 2025 %E Hilde Weerts %E Mykola Pechenizkiy %E Doris Allhutter %E Ana Maria Corrêa %E Thomas Grote %E Cynthia Liem %F pmlr-v294-ullstein25a %I PMLR %P 389--395 %U https://proceedings.mlr.press/v294/ullstein25a.html %V 294 %X With the increasingly rapid development and release of AI systems, policy discourses primarily take place on an expert level. Aiming to broaden the discourse, we propose the exploration of laypeople’s informed opinions as a measure to evaluate the social impact of AI systems, and to inform forward-looking policies. We conceived and organized a dialogue series, the \textit{Global AI Dialogues}, inviting citizens around the world to engage, discuss, and contribute their perspectives on AI. The goal was to better understand how people worldwide evaluate the (social) impact of AI on their everyday lives today and in the future, given the real-world challenges of their local contexts. During the dialogues, 284 participants across six countries (Germany, Nigeria, Japan, India, Mexico, Bolivia) critically engaged with what a desirable future in light of generative AI (genAI) and Facial Processing Technologies (FPT) could look like. They explored the consequences of technology deployment, assessed risks, mapped stakeholders, and derived measures to achieve a desirable goal. We contribute to the workshop by presenting a participatory procedure to identify high-priority risks and where to focus governance efforts, from the perspective of citizens.
APA
Ullstein, C., Hohendanner, M. & Grossklags, J.. (2025). Anticipating Risks and Identifying Governance Measures for the Use of genAI and FPT: Citizens’ Perspectives Across Six Countries. Proceedings of Fourth European Workshop on Algorithmic Fairness, in Proceedings of Machine Learning Research 294:389-395 Available from https://proceedings.mlr.press/v294/ullstein25a.html.

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