The Spanish Telecommunication Sector and the Development of AI Products from a Gender Perspective

Informations projet

TELAIGEN

N° de convention de subvention: 101028792

DOI

10.3030/101028792

Projet clôturé le 28 Février 2023

Date de signature de la CE 27 Avril 2021

Date de début 1 Février 2022

Date de fin 31 Janvier 2024

Financé au titre de

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Coût total

€ 160 932,48

Contribution de l’UE

€ 160 932,48

Coordonné par

UNIVERSIDAD CARLOS III DE MADRID
Spain

Periodic Reporting for period 1 - TELAIGEN (The Spanish Telecommunication Sector and the Development of AI Products from a Gender Perspective)

Période du rapport: 2022-02-01 au 2024-01-31

Résumé du contexte et des objectifs généraux du projet

Given the rising relevance of AI-driven technology and the growing concerns over its reproduction of a gender bias, my research aims to respond to these tensions empirically through exploring the gender bias within the telecommunications industry in Spain. The chief objective of TELAIGEN is to develop a multi-methodological study of the Spanish telecommunications industry on a multi-level basis. On one level, the goal of TELAIGEN is to create a holistic picture of the Spanish telecommunications industry by ascertaining its gender gap and identifying where this gap is more prevalent within the sector (i.e. in AI research teams of AI developing teams) using quantitative-means. On another level, the goal of TELAIGEN is to determine the incorporation of a gender perspective in the sector that shapes the development of AI technologies through the implementation of qualitative research methods. This goal will be realised carrying out a case-study of the company Telefónica, Investigación y Desarrollo (TID), a subsidiary enterprise, part of the larger Telefónica Group, a private Spanish multinational telecommunication enterprise headquartered in Madrid, Spain. By focusing on the particular situation of one Spanish company, TELAIGEN will be able to produce a comprehensive report that effectively identifies the necessary adjustments and measures to be taken by TID to reduce the gender gap in their teams and the gender bias in their AI products.

Travail effectué depuis le début du projet jusqu’à la fin de la période considérée dans le rapport et principaux résultats atteints jusqu’à présent

The Fellow has carried out critical work during the project's implementation. This work is divided between four work packages that cover dissemination and exploitation (publications and conference presentation), data collection (both primary and secondary, as well as quantitative and qualitative).
The publications undertaken by the Fellow are the following:
DÍAZ-FERNÁNDEZ, S. (2023) Engaging critically with AI: On biases, human-machine intra-action and gendered (dys)affordances. En Desafíos éticos, jurídicos y tecnológicos del avance digital. IUSTEL (Pending publication).
DÍAZ-FERNÁNDEZ, S., SAINZ DE BARANDA, C. (2023) Una aproximación a los discursos sobre IA ética en la industria Española. (in preparation)

The conference presentations undertaken by the Fellow are the following:
DÍAZ-FERNÁNDEZ, S. & SANDOVAL-MARTÍN, T. (2022). Análisis de los planes de igualdad del sector de las telecomunicaciones: de la brecha a los sesgos de género en la inteligencia artificial. II Congreso Internacional Tecnologias I+D+I para la igualdad: soluciones, perspectias y retos. (CITI+D+I) Carlos III University.
DÍAZ-FERNÁNDEZ, S. (2022) ‘Engaging critically with AI: On biases, human-machine intra-action and gendered (dys)affordances’. Congress of Artificial Intelligence & Gender: gaps, biases and new forms of inequality. (CAIG) Salamanca Univeristy. Universidad de Salamanca. Spain.
DÍAZ-FERNÁNDEZ, S. (2022) ‘Women like to be controlled”: exploring the chatbot misogyny of Replika and the limitations to women’s digital intimacy’. II International Congress of Digital Feminism. Women’s rights in the era of the Internet. (ICDF) Granada University. Spain.
DÍAZ-FERNÁNDEZ, S. (2022) ‘Postfeminist politics? Exploring equality efforts in the Spanish digital sector in a post-Covid context’. Società Italiana di Scienza Politica Conference 2022. (SISPC) Società Italiana di Scienza Politica. Italy.
DÍAZ-FERNÁNDEZ, S. (2023) Intimacy, recognition and algorithmic misogyny: the case of Replika. Algorithms for Her? University of Sheffield.
DÍAZ-FERNÁNDEZ, S. (2023) ‘Make AI political again! Exploring the framing of AI Ethics, bias and depoliticisation’ XX ISA World Congress of Sociology. 2023. Australia. (upcoming)
DÍAZ-FERNÁNDEZ, S. (2023) ‘Intimacy, recognition and algorithmic misogyny: the case of Replika’. XX ISA World Congress of Sociology. 2023. Australia. (upcoming).
DÍAZ-FERNÁNDEZ, S. (2023) ‘Who frames AI? Exploring AI developers' understanding of bias, fairness and their socio-political implications’. 20th Conference of Europeanist Studies. Council of European Studies. Reykjavik (upcoming).

The Fellow has also completed a final report upon completing the secondment therefore meeting the major outcome of the project.

Progrès au-delà de l’état des connaissances et impact potentiel prévu (y compris l’impact socio-économique et les conséquences sociétales plus larges du projet jusqu’à présent)

The work conducted illuminates the need for a clear gender perspective in the implementation of ethical frameworks in the development of AI technologies by key actors in the industry. Through the investigation, the Fellow determines current industry players within the telecommunications sector are pushing for ethical efforts that due to the lack of integration of a feminist and gender view are lacking with regards to developing effective ethical frameworks. This may result in the continuous reproduction of gender biases. In addition, current development of ethical principles to shape the AI innovation are also lacking a social science perspective, which consequently leads to the framing of the bias problem as a technical glitch to be fixed via technological means only. In this regard, the Fellow advises the incorporation of social science experts (feminist scholars and activists, sociologists, philosophers and anthropologists) to teams dedicated to the developing of AI technologies.

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