Blar i BI Open på forfatter "Fosch Villaronga, Eduard"
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The Chilling Effects of Algorithmic Profiling: Mapping the Issues
Büchi, Moritz; Fosch Villaronga, Eduard; Lutz, Christoph; Tamò-Larrieux, Aurelia; Velidi, Shruthi; Viljoen, Salome (Journal article; Peer reviewed, 2019)In this article, we provide an overview of the literature on chilling effects and corporate profiling, while also connecting the two topics. We start by explaining how profiling, in an increasingly data-rich environment, ... -
Gathering Expert Opinions for Social Robots' Ethical, Legal, and Societal Concerns: Findings from Four International Workshops
Fosch Villaronga, Eduard; Lutz, Christoph; Tamò-Larrieux, Aurelia (Journal article; Peer reviewed, 2019)Social robots, those that exhibit personality and communicate with us using high-level dialogue and natural cues, will soon be part of our daily lives. In this paper, we gather expert opinions from different international ... -
Innovation under Pressure: Implications for Data Privacy during the Covid-19 Pandemic
Newlands, Gemma Elisabeth Marjorie; Lutz, Christoph; Tamò-Larrieux, Aurelia; Fosch Villaronga, Eduard; Harasgama, Rehana; Scheitlin, Gil (Journal article; Peer reviewed, 2020)The global Covid-19 pandemic has resulted in social and economic disruption unprecedented in the modern era. Many countries have introduced severe measures to contain the virus, including travel restrictions, public event ... -
Robots and Transparency: The Multiple Dimensions of Transparency in the Context of Robot Technologies
Felzmann, Heike; Fosch Villaronga, Eduard; Lutz, Christoph; Tamò-Larrieux, Aurelia (Journal article; Peer reviewed, 2019)Transparency is often seen as a means to provide accountability and show that something is done with due diligence. This approach to transparency regards it as a remedy to hidden (potentially malevolent) practices. We, ... -
Towards Transparency by Design for Artificial Intelligence
Felzmann, Heike; Fosch Villaronga, Eduard; Lutz, Christoph; Tamò-Larrieux, Aurelia (Journal article; Peer reviewed, 2020)In this article, we develop the concept of Transparency by Design that serves as practical guidance in helping promote the beneficial functions of transparency while mitigating its challenges in automated-decision making ... -
Transparency You Can Trust: Transparency Requirements for Artificial Intelligence between Legal Norms and Contextual Concerns
Felzmann, Heike; Fosch Villaronga, Eduard; Lutz, Christoph; Tamò-Larrieux, Aurelia (Journal article; Peer reviewed, 2019)Transparency is now a fundamental principle for data processing under the General Data Protection Regulation. We explore what this requirement entails for artificial intelligence and automated decision-making systems. We ...