Isabelle Hupont

Virtual worlds and mental health: A scoping review

Miguel Barreda-Ángeles, Simone Amendola, Tilo Hartmann, Adrian Meier et autres

Abstract The constant increase in the use of virtual worlds in recent decades has raised concerns about their potential effects on users’ mental health. However, the great heterogeneity of the scientific literature on this topic makes it difficult to identify existing evidence, …

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Exploring the Potential of Citiverses for Regulatory Learning with a People-Centric Focus

Isabelle Hupont, Marisa Ponti, Sven Schade

Citiverses offer virtual environments for regulatory learning via experimentation with governance, policy, and technology scenarios in safe, immersive settings. This paper proposes a science-for-policy agenda for regulatory learning in citiverses, developed through an expert consultation and informed by the literature and by …

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Do Current QoE Instruments Capture AI-Mediated Interaction? Adding AI Act-Inspired Dimensions

Isabelle Hupont, Katrien De Moor, Martı́n Varela, Sandra Baldassarri

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Exploring the Potential of Citiverses for Regulatory Learning

Isabelle Hupont, Marisa Ponti, Sven Schade

Citiverses hold the potential to support regulatory learning by offering immersive, virtual environments for experimenting with policy scenarios and technologies. This paper proposes a science-for-policy agenda to explore the potential of citiverses as experimentation spaces for regulatory learning, grounded in a consultation …

Rethinking QoE in the Age of AI: From Algorithms to Experience-Based Evaluation

Isabelle Hupont, Katrien De Moor, Lea Skorin‐Kapov, Martı́n Varela et autres

AI evaluation is undergoing a paradigm shift from focusing solely on algorithmic accuracy of AI models to emphasizing experience-based assessment of human interactions with AI systems. Under frameworks like the EU AI Act, evaluation now considers intended purpose, risk, transparency, human oversight, …

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Understanding the Impact of Human Oversight on Discriminatory Outcomes in AI-Supported Decision-Making

Alexia Gaudeul, Ottla Arrigoni, Vicky Charisi, Marina Escobar-Planas et autres

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Understanding the Impact of Human Oversight on Discriminatory Outcomes in AI-Supported Decision-Making

Alexia Gaudeul, Ottla Arrigoni, Vicky Charisi, Marina Escobar-Planas et autres

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Understanding the Impact of Human Oversight on Discriminatory Outcomes in AI-Supported Decision-Making

Alexia Gaudeul, Ottla Arrigoni, Vicky Charisi, Marina Escobar-Planas et autres

This large-scale study assesses the impact of human oversight on countering discrimination in AI-aided decision-making for sensitive tasks. It follows a mixed method approach, including a quantitative experiment with Human Resources (HR) and banking professionals in Italy and Germany (N=1411), and qualitative …

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AI Cards: Towards an Applied Framework for Machine-Readable AI and Risk Documentation Inspired by the EU AI Act

Delaram Golpayegani, Isabelle Hupont, Cecilia Panigutti, Harshvardhan Jitendra Pandit et autres

With the upcoming enforcement of the EU AI Act, documentation of high-risk AI systems and their risk management information will become a legal requirement playing a pivotal role in demonstration of compliance. Despite its importance, there is a lack of standards and …

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AI Cards: Towards an Applied Framework for Machine-Readable AI and Risk Documentation Inspired by the EU AI Act

Delaram Golpayegani, Isabelle Hupont, Cecilia Panigutti, Harshvardhan Jitendra Pandit et autres

With the upcoming enforcement of the EU AI Act, documentation of high-risk AI systems and their risk management information will become a legal requirement playing a pivotal role in demonstration of compliance. Despite its importance, there is a lack of standards and …

A Framework for Assessing Proportionate Intervention with Face Recognition Systems in Real-Life Scenarios

Pablo Negri, Isabelle Hupont, Emília Gómez

Face recognition (FR) has reached a high technical maturity. However, its use needs to be carefully assessed from an ethical perspective, especially in sensitive scenarios. This is precisely the focus of this paper: the use of FR for the identification of specific …

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Synocene, Beyond the Anthropocene: De-Anthropocentralising Human-Nature-AI Interaction

Isabelle Hupont, Marina Wainer, Sam Nester, Sylvie Tissot et autres

Recent publications explore AI biases in detecting objects and people in the environment. However, there is no research tackling how AI examines nature. This case study presents a pioneering exploration into the AI attitudes – ecocentric, anthropocentric and antipathetic– toward nature. Experiments …

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