Aurelia Tamò‐larrieux
Biographic Data
| ID | 4405269 |
|---|---|
| NAME | Aurelia Tamò‐larrieux |
| GIVEN NAMES | Aurelia |
| FAMILY NAME | Tamò‐larrieux |
| SIGNATURE | LARRIEUX A T |
| AFFILIATIONS | University of Zurich |
| ORCID | 0000-0003-3404-7643 |
| VERIFIED | Yes |
| TOTAL WORKS | 16 |
| TOTAL CITATIONS | 31 |
| WORKS AS AUTHOR | 16 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 3 |
A validation study of frameworks for responsible automatically processable regulation
Governments and private companies worldwide are increasingly turning to artificial intelligence to enhance the efficiency and accessibility of legal processes. This shift towards automatically processable regulation (APR) carries the risk to negatively affect citizens in various ways. Therefore, ethical guidelines and frameworks that support the fair, accountable, and transparent transformation of law into automatically processable regulation hav…
Steering society through algorithms
Governments around the world are increasingly turning to algorithms to support or fulfil administrative tasks – from automating social benefit regulation to the automatic determination of the merit of court cases. With this global trend came along an increasing number of scandals that often resulted from a mismatch between implementation of an algorithmic process by the government and public expectation. These (violated) expectations concern seve…
Unpacking social scoring systems and their impact on fairness and digital dignity
Governments worldwide are increasingly deploying algorithmic systems that influence citizens’ rights, benefits, and opportunities. These systems often resemble social scoring systems (SSSs) in functionality and societal impact. While extensively studied in China and the United States, SSS remain underexplored in other regions, and no systematization to compare SSS projects within and across regions exists. Moreover, the gap extends to the lack of…
Regulating pressing systemic risks – but not too soon
Online platforms have transformed how we live. This has raised concerns around how such platforms impact citizens’ constitutionally-protected rights and freedoms, such as the freedom of expression and information, right to privacy, and protection from discrimination. To hold online platforms to account, researchers need access to platform data but this has proved to be difficult in the past. In response, the EU’s 2022 Digital Services Act (DSA) i…
Responsible automatically processable regulation
Driven by the increasing availability and deployment of ubiquitous computing technologies across our private and professional lives, implementations of automatically processable regulation (APR) have evolved over the past decade from academic projects to real-world implementations by states and companies. There are now pressing issues that such encoded regulation brings about for citizens and society, and strategies to mitigate these issues are r…
Responsible guidelines for authorship attribution tasks in NLP
Authorship Attribution (AA) approaches in Natural Language Processing (NLP) are important in various domains, including forensic analysis and cybercrime. However, they pose Ethical, Legal, and Societal Implications/Aspects (ELSI/ELSA) challenges that remain underexplored. Inspired by foundational AI ethics guidelines and frameworks, this research introduces a comprehensive framework of responsible guidelines that focuses on AA tasks in NLP, which…
Regulating for trust
The current political and regulatory discourse frequently references the term “trustworthy artificial intelligence (AI).” In Europe, the attempts to ensure trustworthy AI started already with the High‐Level Expert Group Ethics Guidelines for Trustworthy AI and have now merged into the regulatory discourse on the EU AI Act. Around the globe, policymakers are actively pursuing initiatives—as the US Executive Order on Safe, Secure, and Trustworthy A…
Making sense of algorithmic profiling
Algorithmic profiling has become increasingly prevalent in many social fields and practices, including finance, marketing, law, cultural consumption and production, and social engagement. Although researchers have begun to investigate algorithmic profiling from various perspectives, socio-technical studies of algorithmic profiling that consider users’ everyday perceptions are still scarce. In this article, we expand upon existing user-centered re…
Toy story or children story? Putting children and their rights at the forefront of the artificial intelligence revolution
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 SCTs forms the Internet of Toys (IoToys) and often increases children's engagement and playtime experience. Unfortunately, this young part of the population and, most of the time, their pa…
Machine Capacity of Judgment
The Robot Privacy Paradox
Conceptual research on robots and privacy has increased but we lack empirical evidence about the prevalence, antecedents, and outcomes of different privacy concerns about social robots. To fill this gap, we present a survey, testing a variety of antecedents from trust, technology adoption, and robotics scholarship. Respondents are most concerned about data protection on the manufacturer side, followed by social privacy concerns and physical conce…
Towards Transparency by Design for Artificial Intelligence
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 (ADM) environments. With the rise of artificial intelligence (AI) and the ability of AI systems to make automated and self-learned decisions, a call for transparency of how such systems reach decisions has echoed within academic …
Gathering Expert Opinions for Social Robots’ Ethical, Legal, and Societal Concerns
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 workshops exploring ethical, legal, and social (ELS) concerns associated with social robots. In contrast to literature that looks at specific challenges, often from a certain disciplinary angle, our contribution to the literatur…
Innovation under pressure
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 bans, non-essential business closures and remote work policies. While digital technologies help governments and organizations to enforce protection measures, such as contact tracing, their rushed deployment and adoption also rai…
Transparency you can trust
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 address the topic of transparency in artificial intelligence by integrating legal, social, and ethical aspects. We first investigate the ratio legis of the transparency requirement in the General Data Protection Regulation and it…
Designing for Privacy and its Legal Framework
Transparency you can trust
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 address the topic of transparency in artificial intelligence by integrating legal, social, and ethical aspects. We first investigate the ratio legis of the transparency requirement in the General Data Protection Regulation and it…
Innovation under pressure
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 bans, non-essential business closures and remote work policies. While digital technologies help governments and organizations to enforce protection measures, such as contact tracing, their rushed deployment and adoption also rai…
Regulating for trust
The current political and regulatory discourse frequently references the term “trustworthy artificial intelligence (AI).” In Europe, the attempts to ensure trustworthy AI started already with the High‐Level Expert Group Ethics Guidelines for Trustworthy AI and have now merged into the regulatory discourse on the EU AI Act. Around the globe, policymakers are actively pursuing initiatives—as the US Executive Order on Safe, Secure, and Trustworthy A…
Designing for Privacy and its Legal Framework
Transparency you can trust
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 address the topic of transparency in artificial intelligence by integrating legal, social, and ethical aspects. We first investigate the ratio legis of the transparency requirement in the General Data Protection Regulation and it…
The Robot Privacy Paradox
Conceptual research on robots and privacy has increased but we lack empirical evidence about the prevalence, antecedents, and outcomes of different privacy concerns about social robots. To fill this gap, we present a survey, testing a variety of antecedents from trust, technology adoption, and robotics scholarship. Respondents are most concerned about data protection on the manufacturer side, followed by social privacy concerns and physical conce…
Towards Transparency by Design for Artificial Intelligence
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 (ADM) environments. With the rise of artificial intelligence (AI) and the ability of AI systems to make automated and self-learned decisions, a call for transparency of how such systems reach decisions has echoed within academic …
Gathering Expert Opinions for Social Robots’ Ethical, Legal, and Societal Concerns
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 workshops exploring ethical, legal, and social (ELS) concerns associated with social robots. In contrast to literature that looks at specific challenges, often from a certain disciplinary angle, our contribution to the literatur…
Innovation under pressure
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 bans, non-essential business closures and remote work policies. While digital technologies help governments and organizations to enforce protection measures, such as contact tracing, their rushed deployment and adoption also rai…
Machine Capacity of Judgment
Making sense of algorithmic profiling
Algorithmic profiling has become increasingly prevalent in many social fields and practices, including finance, marketing, law, cultural consumption and production, and social engagement. Although researchers have begun to investigate algorithmic profiling from various perspectives, socio-technical studies of algorithmic profiling that consider users’ everyday perceptions are still scarce. In this article, we expand upon existing user-centered re…
Toy story or children story? Putting children and their rights at the forefront of the artificial intelligence revolution
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 SCTs forms the Internet of Toys (IoToys) and often increases children's engagement and playtime experience. Unfortunately, this young part of the population and, most of the time, their pa…
Regulating for trust
The current political and regulatory discourse frequently references the term “trustworthy artificial intelligence (AI).” In Europe, the attempts to ensure trustworthy AI started already with the High‐Level Expert Group Ethics Guidelines for Trustworthy AI and have now merged into the regulatory discourse on the EU AI Act. Around the globe, policymakers are actively pursuing initiatives—as the US Executive Order on Safe, Secure, and Trustworthy A…
Regulating pressing systemic risks – but not too soon
Online platforms have transformed how we live. This has raised concerns around how such platforms impact citizens’ constitutionally-protected rights and freedoms, such as the freedom of expression and information, right to privacy, and protection from discrimination. To hold online platforms to account, researchers need access to platform data but this has proved to be difficult in the past. In response, the EU’s 2022 Digital Services Act (DSA) i…
Responsible automatically processable regulation
Driven by the increasing availability and deployment of ubiquitous computing technologies across our private and professional lives, implementations of automatically processable regulation (APR) have evolved over the past decade from academic projects to real-world implementations by states and companies. There are now pressing issues that such encoded regulation brings about for citizens and society, and strategies to mitigate these issues are r…
Responsible guidelines for authorship attribution tasks in NLP
Authorship Attribution (AA) approaches in Natural Language Processing (NLP) are important in various domains, including forensic analysis and cybercrime. However, they pose Ethical, Legal, and Societal Implications/Aspects (ELSI/ELSA) challenges that remain underexplored. Inspired by foundational AI ethics guidelines and frameworks, this research introduces a comprehensive framework of responsible guidelines that focuses on AA tasks in NLP, which…
A validation study of frameworks for responsible automatically processable regulation
Governments and private companies worldwide are increasingly turning to artificial intelligence to enhance the efficiency and accessibility of legal processes. This shift towards automatically processable regulation (APR) carries the risk to negatively affect citizens in various ways. Therefore, ethical guidelines and frameworks that support the fair, accountable, and transparent transformation of law into automatically processable regulation hav…
Steering society through algorithms
Governments around the world are increasingly turning to algorithms to support or fulfil administrative tasks – from automating social benefit regulation to the automatic determination of the merit of court cases. With this global trend came along an increasing number of scandals that often resulted from a mismatch between implementation of an algorithmic process by the government and public expectation. These (violated) expectations concern seve…
Unpacking social scoring systems and their impact on fairness and digital dignity
Governments worldwide are increasingly deploying algorithmic systems that influence citizens’ rights, benefits, and opportunities. These systems often resemble social scoring systems (SSSs) in functionality and societal impact. While extensively studied in China and the United States, SSS remain underexplored in other regions, and no systematization to compare SSS projects within and across regions exists. Moreover, the gap extends to the lack of…
Computer Science (13 works) · Ethics and Social Impacts of AI (13 works) · Political science (9 works) · Law (7 works) · Privacy, Security, and Data Protection (7 works) · Business (6 works) · Computer security (6 works) · Engineering (5 works) · Psychology (5 works) · Artificial Intelligence (4 works)