Les glitchs, ces moments où les algorithmes tremblent

Meunier, A.; Ricci, Donato; Cardon, Dominique; Crépel, Maxime

doi:10.4000/tc.12698

Cited by 3 publications

(3 citation statements)

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“…Intelligence in Legal Procedures: Integrating the Gap Between the Calculated World and the Sensible World Meunier et al (2019) propose an innovative approach extending to algorithms the phenomena of malfunctions affecting electrical systems, machines, software and interfaces (Berti-Equille et al 2011). The aim is to identify the "bias zones" into which legal algorithms can fall, due to either structural errors or faulty assumptions.…”

Section: Errors and Risks Of The Interference Of Artificialmentioning

confidence: 99%

“…-To identify the types of cases concerned by these situations to propose perimeters of vigilance as well as to identify the critical paths leading to potential errors. -To identify (through the different cases raised in existing publications) the elements of technological design that can lead to the scandals and biases mentioned above: the "glitches" in the sense of Meunier et al (2019).…”

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confidence: 99%

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Automated Justice: Issues, Benefits and Risks in the Use of Artificial Intelligence and Its Algorithms in Access to Justice and Law Enforcement

Gans-Combe¹

2022

Research Ethics Forum

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The use of artificial intelligence (AI) in the field of law has generated many hopes. Some have seen it as a way of relieving courts’ congestion, facilitating investigations, and making sentences for certain offences more consistent—and therefore fairer. But while it is true that the work of investigators and judges can be facilitated by these tools, particularly in terms of finding evidence during the investigative process, or preparing legal summaries, the panorama of current uses is far from rosy, as it often clashes with the reality of field usage and raises serious questions regarding human rights. This chapter will use the Robodebt Case to explore some of the problems with introducing automation into legal systems with little human oversight. AI—especially if it is poorly designed—has biases in its data and learning pathways which need to be corrected. The infrastructures that carry these tools may fail, introducing novel bias. All these elements are poorly understood by the legal world and can lead to misuse. In this context, there is a need to identify both the users of AI in the area of law and the uses made of it, as well as a need for transparency, the rules and contours of which have yet to be established.

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Section: Errors and Risks Of The Interference Of Artificialmentioning

confidence: 99%

mentioning

confidence: 99%

Automated Justice: Issues, Benefits and Risks in the Use of Artificial Intelligence and Its Algorithms in Access to Justice and Law Enforcement

Gans-Combe¹

2022

Research Ethics Forum

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“…24 From Google Photos to MacOS and iOS Photo, these manipulations run hidden. They become evident, with their potentially harmful bias, once they 'glitchʼ (Meunier et al, 2019) -as the infamous case of Google Photos labelling black people as 'gorillasʼ (Noble, 2018)manifesting the traces that have become invisible in the process of rendering something visible. 25 Davor Mišković, president of Drugo, bluntly captured that in his opening speech of the exhibition by saying, "They are the most beautiful (…) and the most useless books I've ever seen."…”

Section: → Expanding Visualization Into Catalogsmentioning

confidence: 99%

Desarrollo de imágenes en línea: de las huellas visuales a las voces públicas

Ricci

Calibro²,

Evennou

et al. 2021

Diseña

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Las imágenes en línea podrían ser consideradas como rastros de la dinámica de los problemas sociales. Asimismo, estas imágenes se inscriben en vastas infraestructuras algorítmicas. Con la intención de dar cuenta de ―y experimentar con― alguna de estas dos especificidades, o ambas, se han elaborado registros de investigación específicos. El propósito de la presente contribución es presentar un posible cruce de los registros existentes y extender el papel que se asigna a las visualizaciones de grandes corpus de imágenes más allá de los propósitos puramente analíticos o críticos. Para ello se describe el proyecto “DEPT.”. Durante dicho proyecto, una serie de artefactos visuales (visualizaciones de datos y medios, catálogos, tableaux y partituras) fueron concebidos con el fin de acercar progresivamente las imágenes en línea a entornos públicos y participativos para indagar en cuestiones situadas. El artículo detalla las necesidades, los marcos teóricos y las opciones metodológicas, junto con los artefactos visuales concebidos en el proyecto, para desarrollar imágenes en línea como expresiones compartidas y colectivas de los temas que se investigan.

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Robots vs algorithmes

Crépel¹,

Cardon²

2022

Réseaux

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Signée par Elon Musk, Stephen Hawking, Steve Wozniak et Noam Chomsky, une lettre ouverte publiée en 2015 alerte sur les risques existentiels auxquels l’humanité doit faire face en raison des nouveaux développements de l’IA. Elle constitue un moment clé de la réactivation d’un ensemble de ressources narratives et normatives visant à porter sur la place publique un débat critique relatif aux progrès de l’IA. Par vagues successives, les promesses et les risques de l’intelligence artificielle sont venus occuper de façon spectaculaire la discussion publique. À partir de méthode de TAL appliquée à un large corpus de la presse anglo-saxonne, cet article montre que le thème des algorithmes et de l’IA occupe un espace croissant dans la sphère médiatique depuis 5 ans. Le corpus se structure autour de deux espaces sémantiques qui constituent deux régimes dominants de critique, l’un fondé sur les injustices produites par les algorithmes et l’autre sur les peurs de l’autonomie de l’IA et des robots. L’analyse comparée de ces espaces montre qu’ils mobilisent des agents technologiques et humains, des troubles et une temporalité distincts. En développant un discours critique sur les méfaits de ces technologies, la sphère médiatique contribue à forger l’opinion publique mais aussi à définir les formes d’acceptabilité de ces agents calculateurs.

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Les glitchs, ces moments où les algorithmes tremblent

Cited by 3 publications

References 0 publications

Automated Justice: Issues, Benefits and Risks in the Use of Artificial Intelligence and Its Algorithms in Access to Justice and Law Enforcement

Automated Justice: Issues, Benefits and Risks in the Use of Artificial Intelligence and Its Algorithms in Access to Justice and Law Enforcement

Desarrollo de imágenes en línea: de las huellas visuales a las voces públicas

Robots vs algorithmes

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