« Je n'y avais pas pensé » : les créateurs d'IA de type humain se prononcent sur l'éthique et la neurodivergence

Titre original en anglais : “I Hadn't Thought About That”: Creators of Human-like AI Weigh in on Ethics & Neurodivergence

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Rizvi, N., Smith, T., Vidyala, T., Bolds, M., Strickland, H., Begel, A., Williams, A., & Munyaka, I. (2025). “I Hadn't Thought About That”: Creators of Human-like AI Weigh in on Ethics & Neurodivergence. Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 3385-3399. https://doi.org/10.1145/3715275.3732218

Date de publication: 23/06/2025 Ajout dans AutiHub: 09/08/2026 Type: Autre Langue de l’article: Anglais
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Auteurs

Auteur·ices des publications
8
Auteur·ices de la publication identifié·es comme autistes
1 / 8 (12,5 %)
  1. Naba Rizvi
  2. Taggert Smith
  3. Tanvi Vidyala
  4. Mya Bolds
  1. Harper Strickland
  2. Andrew Begel
  3. Anna Williams *
  4. Imani Munyaka

Résumé

Les agents d'IA de type humain tels que les robots et les chatbots deviennent de plus en plus populaires, mais ils soulèvent diverses préoccupations éthiques. La première concerne la manière dont nous définissons l'humanité, et l'incidence de notre définition sur des communautés historiquement déshumanisées par la recherche scientifique. Les personnes autistes, en particulier, ont été déshumanisées en étant comparées à des robots, ce qui rend encore plus important de veiller à ce que cette marginalisation ne soit pas reproduite par une IA susceptible de promouvoir des comportements sociaux neuronormatifs. Deuxièmement, l'utilisation omniprésente de ces agents soulève des préoccupations concernant les biais des modèles et l'accessibilité. Dans notre travail, nous étudions les expériences des personnes qui construisent et conçoivent ces technologies afin de mieux comprendre leur compréhension et leur acceptation de la neurodivergence, ainsi que les difficultés à rendre leur travail plus accessible aux utilisateurs ayant des besoins divers. Bien que les personnes neurodivergentes soient souvent marginalisées en raison de leurs styles de communication particuliers, presque tous les participants ont négligé les conclusions que leurs utilisateurs finaux et d'autres concepteurs de systèmes d'IA peuvent tirer au sujet des normes de communication à partir de la mise en œuvre et de l'interprétation de l'humanité appliquées dans le travail des participants. Cela met en évidence une lacune majeure dans leurs considérations éthiques plus larges, aggravée par les hypothèses neuronormatives de certains participants concernant les comportements et les traits qui distinguent les « humains » des « bots », ainsi que par la reproduction de ces hypothèses dans leur travail. Nous examinons l'incidence que cela peut avoir sur l'inclusion de l'autisme dans la société et fournissons des recommandations pour des changements systémiques supplémentaires en faveur de directions de recherche plus éthiques.

Human-like AI agents such as robots and chatbots are becoming increasingly popular, but they present a variety of ethical concerns.The first concern is in how we define humanness, and how our definition impacts communities historically dehumanized by scientific research.Autistic people in particular have been dehumanized by being compared to robots, making it even more important to ensure this marginalization is not reproduced by AI that may promote neuronormative social behaviors.Second, the ubiquitous use of these agents raises concerns surrounding model biases and accessibility.In our work, we investigate the experiences of the people who build and design these technologies to gain insights into their understanding and acceptance of neurodivergence, and the challenges in making their work more accessible to users with diverse needs.Even though neurodivergent individuals are often marginalized for their unique communication styles, nearly all participants overlooked the conclusions their end-users and other AI system makers may draw about communication norms from the implementation and interpretation of humanness applied in participants' work.This highlights a major gap in their broader ethical considerations, compounded by some participants' neuronormative assumptions about the behaviors and traits that distinguish "humans" from "bots" and the replication of these assumptions in their work.We examine the impact this may have on autism inclusion in society and provide recommendations for additional systemic changes towards more ethical research directions.

Bibliographie citée par cette référence

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Ces indicateurs décrivent la bibliographie citée importée pour cette publication. Les métriques de références citées utilisent le total des références citées comme dénominateur. Les métriques d’auteurices cité·es indiquent si elles utilisent toutes les occurrences d’auteurices cité·es ou seulement les occurrences rattachées à des auteurices déjà intégré·es à la base de données AutiHub. Ils utilisent les rattachements mis en cache entre les auteurices cité·es et les auteurices intégré·es à la base de données AutiHub. Dernier calcul : 16/08/2026 11:31.

Références citées
84
Nombre total de références citées intégrées pour cette publication.
Références citées avec un·e auteur·ice identifié·e comme autiste
8 / 84 (9,5 %)
Occurrences d’auteur·ices cité·es identifié·es comme autistes
10 / 256 (3,9 %)
Parmi les occurrences rattachées à des auteurices intégré·es à la base de données AutiHub : 10 / 55 (18,2 %). Auteurices cité·es distinct·es identifié·es comme autistes : 9 / 249 (3,6 %).
Occurrences citées rattachées à la base AutiHub
55 / 256 (21,5 %)
Auteurices cité·es distinct·es rattaché·es : 49 / 249 (19,7 %)
Occurrences rattachées, non identifiées comme autistes
45 / 55 (81,8 %)
Parmi les seules occurrences rattachées. Sur l’ensemble des occurrences d’auteurices cité·es : 45 / 256 (17,6 %). Auteurices cité·es distinct·es rattaché·es, non identifié·es comme autistes : 40 / 49 (81,6 %).
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