Wenn Algorithmen für uns entscheiden: Chancen und Risiken der künstlichen Intelligenz

Christen, Markus; Mader, Clemens; Čas, Johann; Abou-Chadi, Tarik; Bernstein, A.; Binder, Nadja Braun; Dell’Aglio, Daniele; Fábián, Luca; George, Damian; Gohdes, Anita R.; Hilty, Lorenz M.; Kneer, Markus; Krieger-Lamina, Jaro; Licht, H.; Scherer, Anne; Som, Claudia; Sutter, P. De; Thouvenin, Florent

doi:10.3218/4002-9

Cited by 7 publications

(3 citation statements)

References 50 publications

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“…Bei der Auseinandersetzung mit Künstlicher Intelligenz ist die Unterscheidung zu treffen, inwieweit im allgemeinen oder eher konkrete Technologien angesprochen sind und implementiert werden (Christen et al, 2020). Insbesondere Letzteres dient der weiteren Auseinandersetzung und dabei soll zunächst die Frage leitend sein, was genau der Unterschied zwischen einem klassisch technologischen und einem KI-System ist.…”

Section: Die Aufschlüsselung In Einzelneunclassified

Künstliche Intelligenz in der Hochschulbildung

2023

Hochschulbildung: Lehre Und Forschung

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Der Einsatz von Künstlicher Intelligenz erfährt in hochschuldidaktischen Kontexten wachsendes Interesse. Durch individualisierte Lernwege ergeben sich für Studierende und Dozierende neue Lern-Lehr-Möglichkeiten. Der Band befasst sich jedoch auch mit den daraus resultierenden Gefahren: Es sind Demarkationslinien zu ziehen, wenn es um Datenschutz oder ethische Bedenken geht. Die Autor*innen des Bandes nehmen verschiedene Sichtweisen ein, um eine multidisziplinäre Betrachtung der neuen Problemstellungen, die die Anwendung von KI im Hochschulkontext mit sich bringt, zu ermöglichen.

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Section: Die Aufschlüsselung In Einzelneunclassified

Künstliche Intelligenz in der Hochschulbildung

2023

Hochschulbildung: Lehre Und Forschung

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“…Transparency maintains procedural fairness and serves the principles anchored in constitutional and criminal procedural law (Schafer, 2013). The importance of transparency finds further support in the right to a fair trial, which encompasses the obligation of the state to give reasons for a decision (Christen et al, 2020). If, for example, a sentencing was to be carried out by an algorithm whose concrete mode of operation resembled a black box, it would not be possible to verify the variables upon which the sentencing was based, or how they were weighted.…”

Section: Transparencymentioning

confidence: 99%

Smart criminal justice: Phenomena and normative requirements

Simmler

Canova

Schedler

2021

International Review of Administrative Sciences

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Advanced technology is not only transforming the public sector in general but is also increasingly transmuting the criminal justice system. Smart applications are designed to predict crimes, automate legal proceedings, and predict recidivism. We argue that such use of intelligent technology to optimize police work, criminal justice, and law enforcement is ultimately serving to establish a “smart criminal justice.” However, not every use of technology is intelligent or “smart,” per se. Based on a literature analysis, we explore the meaning of “smartness” from a descriptive and normative perspective, in order to develop a catalog of decisive criteria. We identify the use of technology as a basic prerequisite, and efficiency, effectiveness, and participation as normative criteria for any smart initiative in the public sector. Considering the specifics of the criminal justice system, these criteria can be expanded by claims related to legality, equality, and transparency. In sum, this article presents and discusses guidelines for assessing the usefulness and legitimacy of technical innovations in the criminal justice system. The catalog developed here will facilitate practitioners and policy-makers in determining when the use of technology in criminal justice is actually smart, and more importantly, when it is not. Points for practitioners Advanced technology is increasingly being used in the public sector in general and the criminal justice system in particular, bringing opportunities as well as substantial risk. The use of technology has to adhere to normative principles to be considered as “smart criminal justice.” This article presents a list of normative criteria that can be used in practice to assess whether technology in criminal justice is used smartly. Practitioners are encouraged to use this catalog as a guide for procurement, implementation, and evaluation processes.

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“…Nevertheless, citizens, consumers, and employees in their dealings with the state, companies or their employer should be informed as transparently as possible about the use of AI. When public institutions or companies use AI they should do so according to clear rules, in an understandable and transparent manner(Christen, M. et al 2020).…”

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confidence: 99%

Gestionar la complejidad: la contribución de la UE a la gobernanza de la inteligencia artificial

Antonov¹

2022

rcai

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En un contexto de ecosistemas digitales mundialmente cuestionados, este artículo examina el papel y la contribución de la UE al concepto emergente de la gobernanza de la inteligencia artificial (IA). Entendida esta por la UE como el ingrediente fundamental para la innovación, la adopción de sistemas de IA ha alterado nuestra comprensión de la gobernanza. Enmarcando la IA como una tecnología digital autónoma integrada en las estructuras sociales, este artículo argumenta que se puede aumentar la confianza de la ciudadanía de la UE hacia la IA si la innovación que esta comporta se fundamenta en un enfoque basado en los derechos fundamentales. Ello se evalúa a partir del trabajo del Grupo de Expertos de Alto Nivel en IA (que ha desarrollado el marco para una IA fiable) y la propuesta recién aprobada de la Comisión Europea para una Ley de inteligencia artificial (con un enfoque basado en el riesgo).

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Wenn Algorithmen für uns entscheiden: Chancen und Risiken der künstlichen Intelligenz

Cited by 7 publications

References 50 publications

Künstliche Intelligenz in der Hochschulbildung

Künstliche Intelligenz in der Hochschulbildung

Smart criminal justice: Phenomena and normative requirements

Gestionar la complejidad: la contribución de la UE a la gobernanza de la inteligencia artificial

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