Artificial intelligence and the public arena

Editorial Material Multidisciplinary Sciences

The growing influence of industry in AI research

Nur Ahmed et al.

Summary: Industry is gradually taking control of the future of technology.

SCIENCE (2023)

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Review Political Science

Rethinking Democratic Innovations: A Look through the Kaleidoscope of Democratic Theory

Hans Asenbaum

Summary: This article reviews different theoretical perspectives on democratic innovations, including participatory, agonistic, and transformative accounts. Democratic innovations go beyond institutions designed by experts to include remaking everyday life structures, interrupting established modes of governance, and creating spaces for systemic transformations.

POLITICAL STUDIES REVIEW (2022)

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Article Communication

Uneasy Bedfellows: AI in the News, Platform Companies and the issue of Journalistic Autonomy

Felix M. Simon

Summary: This article analyzes the role of platform companies in news production and distribution and raises concerns about control, dependence, and autonomy in the era of the 'AI goldrush' in news. The introduction of AI in news may increase the control of platform companies and the dependence of news organizations on them, potentially limiting autonomy and reshaping the public arena according to the logics of platform businesses.

DIGITAL JOURNALISM (2022)

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Article Multidisciplinary Sciences

Temporal quality degradation in AI models

Daniel Vela et al.

Summary: This study presents the first analysis of AI aging, highlighting the phenomenon of AI model quality degradation over time. The research identifies and describes the main temporal degradation patterns using datasets from various industries and machine learning models. The study also differentiates temporal model degradation from other related concepts. Potential causes of temporal degradation are addressed, and approaches to detect and reduce its impact are suggested.

SCIENTIFIC REPORTS (2022)

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Article Mathematics, Interdisciplinary Applications

Algorithmic Fairness: Choices, Assumptions, and Definitions

Shira Mitchell et al.

Summary: Recent research has aimed to quantify fairness, particularly in the context of decisions based on statistical and machine learning model predictions. The inconsistency in motivations, terminology, and notation in this new field poses a challenge for cataloging and comparing definitions. This article attempts to bring order by providing a consistent catalog of fairness definitions and exploring the choices, assumptions, and fairness considerations in prediction-based decision-making.

ANNUAL REVIEW OF STATISTICS AND ITS APPLICATION, VOL 8, 2021 (2021)

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Article Communication

Disinformation and the Structural Transformations of the Public Arena: Addressing the Actual Challenges to Democracy

Andreas Jungherr et al.

Summary: The fear of digital disinformation in relation to democracy may be exaggerated, as empirical findings suggest that its impact is limited. Structural transformations in the public arena may have a more significant impact on democracy than the perceived threats of disinformation.

SOCIAL MEDIA + SOCIETY (2021)

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Article Multidisciplinary Sciences