A5072909198- Privacy, Security, and Data Protection
- Ethics and Social Impacts of AI
- Privacy-Preserving Technologies in Data
- Digitalization, Law, and Regulation
- Law, AI, and Intellectual Property
- Artificial Intelligence in Law
- Dispute Resolution and Class Actions
- Neuroethics, Human Enhancement, Biomedical Innovations
- Cybercrime and Law Enforcement Studies
- Social Robot Interaction and HRI
- Digital Media Forensic Detection
- European Criminal Justice and Data Protection
- Advanced Data Storage Technologies
- Legal and Policy Issues
- BIM and Construction Integration
- Sexuality, Behavior, and Technology
- Cryptography and Data Security
- Blockchain Technology Applications and Security
- Law, Economics, and Judicial Systems
- Mobile Crowdsensing and Crowdsourcing
- Hate Speech and Cyberbullying Detection
- Regulation and Compliance Studies
- Real-Time Systems Scheduling
- Jury Decision Making Processes
- Reinforcement Learning in Robotics
University of Lausanne
2025
University of Zurich
2018-2024
University of St. Gallen
2018-2024
Maastricht University
2022-2024
Center for Information Technology
2019-2021
Foundation for Research on Information Technologies in Society
2019-2020
Transparency is now a fundamental principle for data processing under the General Data Protection Regulation. We explore what this requirement entails artificial intelligence and automated decision-making systems. address topic of transparency in by integrating legal, social, ethical aspects. first investigate ratio legis Regulation its underpinnings, showing focus on provision information explanation. then discuss pitfalls with respect to focusing significance contextual performative...
Conceptual research on robots and privacy has increased but we lack empirical evidence about the prevalence, antecedents, outcomes of different concerns social robots. To fill this gap, present a survey, testing variety antecedents from trust, technology adoption, robotics scholarship. Respondents are most concerned data protection manufacturer side, followed by physical concerns. Using structural equation modeling, find paradox, where perceived benefits override
The global Covid-19 pandemic has resulted in social and economic disruption unprecedented the modern era. Many countries have introduced severe measures to contain virus, including travel restrictions, public event bans, non-essential business closures remote work policies. While digital technologies help governments organizations enforce protection measures, such as contact tracing, their rushed deployment adoption also raises profound concerns about surveillance, privacy data protection....
Transparency is often seen as a means to provide accountability and show that something done with due diligence. This approach transparency regards it remedy hidden (potentially malevolent) practices. We, therefore, require from manufacturers of products services. While the outcry for more occurs in response particular scandal (e.g., various controversies surrounding Facebook 2018), European Union's General Data Protection Regulation (GDPR) includes proactive requirement information...
Abstract Social robots, those that exhibit personality and communicate with us using high-level dialogue natural cues, will soon be part of our daily lives. In this paper, we gather expert opinions from different international workshops exploring ethical, legal, social (ELS) concerns associated robots. contrast to literature looks at specific challenges, often a certain disciplinary angle, contribution the provides an overview ELS discussions in holistic fashion, shaped by active...
Abstract There is increasing attention given to the concept of trustworthiness for artificial intelligence and robotics. However, trust highly context-dependent, varies among cultures, requires reflection on others’ trustworthiness, appraising whether there enough evidence conclude that these agents deserve be trusted. Moreover, little research exists what happens when too much placed in robots autonomous systems. Conceptual clarity a shared framework approaching overtrust are missing. In...
While the privacy implications of social robots have been increasingly discussed and privacy-sensitive robotics is becoming a research field within human–robot interaction, little empirical has investigated concerns about effect they on behavioral intentions. To address this gap, we present results an experimental vignette study that includes antecedents from privacy, robotics, technology adoption, trust literature. Using linear regression analysis, with privacy-invasiveness fictional but...
Abstract Policymakers need to start considering the impact smart connected toys (SCTs) have on children. Equipped with sensors, data processing capacities, and connectivity, SCTs targeting children increasingly penetrate pervasively personal environments. The network of forms Internet Toys (IoToys) often increases children's engagement playtime experience. Unfortunately, this young part population and, most time, their parents are unaware SCTs’ far-reaching capacities limitations....
Algorithmic profiling has become increasingly prevalent in many social fields and practices, including finance, marketing, law, cultural consumption production, engagement. Although researchers have begun to investigate algorithmic from various perspectives, socio-technical studies of that consider users' everyday perceptions are still scarce. In this article, we expand upon existing user-centered research focus on people's awareness imaginaries profiling, specifically the context media...
Abstract The current political and regulatory discourse frequently references the term “trustworthy artificial intelligence (AI).” In Europe, attempts to ensure trustworthy AI started already with High‐Level Expert Group Ethics Guidelines for Trustworthy have now merged into on EU Act. Around globe, policymakers are actively pursuing initiatives—as US Executive Order Safe, Secure, AI, or Bletchley Declaration showcase—based premise that right strategy can shape trust in AI. To analyze...
<title>Abstract</title> Artificial Intelligence (AI) is increasingly used worldwide to make decisions, be it by public administrations, industry, banks, or insurers. One area with a particularly high impact on citizens its use in judiciary processes. To this day, there has been too little investigation into what drives the willingness of country present itself as adopting AI judiciary. In article, we show that mere promise efficiency gains not enough an explanation for claim within We...