Aurelia Tamò-Larrieux
Biographic Data
| ID | 2744198 |
|---|---|
| NAME | Aurelia Tamò-Larrieux |
| GIVEN NAMES | Aurelia |
| FAMILY NAME | Tamò-Larrieux |
| SIGNATURE | TAMÒ-LARRIEUX A |
| AFFILIATIONS | University of Lausanne |
| VERIFIED | No |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 25 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Legally compliant personalised prioritisation of privacy policy information shows no effect on user engagement, comprehension, or workload
Privacy policies function as both legal documents and information sources for users, but their length and complexity often discourage engagement. In this paper, we investigate whether a personalised approach can address this issue by prioritising information that concerns individual users most while maintaining a policy’s legal compliance on disclosure. We first explored whether personal characteristics can be used to predict a person’s most conc…
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…
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…
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…
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…
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…
Legally compliant personalised prioritisation of privacy policy information shows no effect on user engagement, comprehension, or workload
Privacy policies function as both legal documents and information sources for users, but their length and complexity often discourage engagement. In this paper, we investigate whether a personalised approach can address this issue by prioritising information that concerns individual users most while maintaining a policy’s legal compliance on disclosure. We first explored whether personal characteristics can be used to predict a person’s most conc…
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…
Ethics and Social Impacts of AI (5 works) · Computer Science (4 works) · Privacy, Security, and Data Protection (4 works) · Business (3 works) · Computer security (3 works) · Information privacy (3 works) · Privacy policy (3 works) · Data Protection Act 1998 (2 works) · Internet privacy (2 works) · Law, AI, and Intellectual Property (2 works)