Towards a United Nations Internal Regulation for Artificial Intelligence

Fournier-Tombs, Eléonore

doi:10.1177/20539517211039493

Cited by 12 publications

(5 citation statements)

References 4 publications

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“…Hwang and Park (2020) assess how the Republic of Korea responds to AI threats by evaluating an AI Charter of Ethics, which examines whether AI‐related actions and policies align with ethical standards. Fournier‐Tombs (2021) advocates for a United Nations Regulation for AI, which would set global ethical standards, while Meszaros and Ho (2021) explore how the EU General Data Protection Regulation (GDPR) applies to AI research.…”

Section: Results Of the Thematic Analysismentioning

confidence: 99%

What ethics can say on artificial intelligence: Insights from a systematic literature review

Giarmoleo,

Ferrero,

Rocchi

et al. 2024

Business and Society Review

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The abundance of literature on ethical concerns regarding artificial intelligence (AI) highlights the need to systematize, integrate, and categorize existing efforts through a systematic literature review. The article aims to investigate prevalent concerns, proposed solutions, and prominent ethical approaches within the field. Considering 309 articles from the beginning of the publications in this field up until December 2021, this systematic literature review clarifies what the ethical concerns regarding AI are, and it charts them into two groups: (i) ethical concerns that arise from the design of AI and (ii) ethical concerns that arise from human–AI interactions. The analysis of the obtained sample highlights the most recurrent ethical concerns. Finally, it exposes the main proposals of the literature to handle the ethical concerns according to the main ethical approaches. It interprets the findings to lay the foundations for future research on the ethics of AI.

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Section: Results Of the Thematic Analysismentioning

confidence: 99%

What ethics can say on artificial intelligence: Insights from a systematic literature review

Giarmoleo,

Ferrero,

Rocchi

et al. 2024

Business and Society Review

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“…La IA ha venido para quedarse. El revuelo que ha producido es porque amenaza seriamente el conocimiento de las élites (Fournier-Tombs, 2021). Cuando los sistemas expertos, como los robots de las cadenas de producción y las herramientas CAM (Computer Asistence Mecanization) se implantaron en las fábricas, fueron abrazadas bajo el condicionante de la productividad y competitividad.…”

Section: La Inteligencia Artificial Amenaza a Las éLitesunclassified

ChatGPT ha llegado ¿Y ahora qué hacemos? La creatividad, nuestro último refugio

Romo-Perez,

Garcia-Soidan,

Selman Özdemir

et al. 2023

Rev. In. Edu.

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La inteligencia artificial, y en concreto aplicaciones como ChatGPT, está provocando un cambio disruptivo que amenaza la “expertise” de las actividades profesionales de carácter técnico, científico e intelectual. La generalización y la facilidad de acceso a los sistemas de inteligencia artificial dejarán en la irrelevancia parte del conocimiento de profesionales que se han formado en la Universidad y que desarrollan su actividad profesional en campos tan dispares como la literatura, el derecho o la ingeniería. Por este motivo, las universidades deben adaptarse e integrar los sistemas de inteligencia artificial en el proceso de formación de los estudiantes, los sistemas de evaluación y en la actividad profesional de los docentes e investigadores. En este artículo, se analizan los cambios disruptivos que provocará la inteligencia artificial en la Universidad, tanto en la actividad docente como investigadora del profesorado. Se tendrán que reforzar los códigos de comportamiento ético para evitar su uso fraudulento. La visión que se da es optimista y llena de oportunidades. La inteligencia artificial, lejos de ser un problema, provocará que el pensamiento crítico o la capacidad de resolver problemas entre en otra dimensión. Las tareas tediosas, como redactar, calcular, dibujar y estructurar las realizará la inteligencia artificial y se podrá destinar la enorme capacidad cognitiva que tiene el ser humano a tareas relacionadas con la creatividad e innovación.

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“…It is also claimed that transparent processes can build trust in an organisation's data systems and practices (e.g. Fournier-Tombs, 2021). This assumption can mean that the purpose of transparency becomes building public trust in data systems and the institutions that develop and use them.…”

Section: Questioning Transparency Practicesmentioning

confidence: 99%

Socially meaningful transparency in data-based systems: reflections and proposals from practice

Bates

Kennedy

Perea

et al. 2023

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PurposeThe purpose is to present proposals to foster what we call a socially meaningful transparency practice that aims to enhance public understanding of data-based systems through the production of accounts that are relevant and useful to diverse publics, and society more broadly.Design/methodology/approachThe authors’ proposals emerge from reflections on challenges they experienced producing written and visual accounts of specific public sector data-based systems for research purposes. Following Ananny and Crawford's call to see limits to transparency practice as “openings”, the authors put their experience into dialogue with the literature to think about how we might chart a way through the challenges. Based on these reflections, the authors outline seven proposals for fostering socially meaningful transparency.FindingsThe authors identify three transparency challenges from their practice: information asymmetry, uncertainty and resourcing. The authors also present seven proposals related to reduction of information asymmetries between organisations and non-commercial external actors, enhanced legal rights to access information, shared decision making about what gets made transparent, making visible social impacts and uncertainties of data-systems, clear and accessible communication, timing of transparency practices and adequate resourcing.Social implicationsSocially meaningful transparency aims to enhance public understanding of data-based systems. It is therefore a necessary condition not only for informed use of data-based products, but crucially for democratic engagement in the development of datafied societies.Originality/valueThe paper contributes to existing debates on meaningful transparency by arguing for a more social, rather than individual, approach to imagining how to make transparency practice more meaningful. The authors do this through their empirical reflection on our experience of doing transparency, conceptually through our notion of socially meaningful transparency, and practically through our seven proposals.

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Towards a United Nations Internal Regulation for Artificial Intelligence

Cited by 12 publications

References 4 publications

What ethics can say on artificial intelligence: Insights from a systematic literature review

What ethics can say on artificial intelligence: Insights from a systematic literature review

ChatGPT ha llegado ¿Y ahora qué hacemos? La creatividad, nuestro último refugio

Socially meaningful transparency in data-based systems: reflections and proposals from practice

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