Aurelia Tamo-Larrieux
Title
Prof. Dr.
Last Name
Tamo-Larrieux
First name
Aurelia
Email
aurelia.tamo@unisg.ch
ORCID
Phone
+41 71 224 2800
3 results
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Item type:Publication, Controlled Language Increases Comprehension of Law for People(Association for Computing Machinery (ACM), 2025-03-12); ; Type:journal articleJournal:ACM Journal on Computing and Sustainable SocietiesVolume:3Issue:1DOI:10.1145/3711128 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Regulating for trust: Can law establish trust in artificial intelligence?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 AI, or the Bletchley Declaration on AI showcase—based on the premise that the right regulatory strategy can shape trust in AI. To analyze the validity of this premise, we propose to consider the broader literature on trust in automation. On this basis, we constructed a framework to analyze 16 factors that impact trust in AI and automation more broadly. We analyze the interplay between these factors and disentangle them to determine the impact regulation can have on each. The article thus provides policymakers and legal scholars with a foundation to gauge different regulatory strategies, notably by differentiating between those strategies where regulation is more likely to also influence trust on AI (e.g., regulating the types of tasks that AI may fulfill) and those where its influence on trust is more limited (e.g., measures that increase awareness of complacency and automation biases). Our analysis underscores the critical role of nuanced regulation in shaping the human-automation relationship and offers a targeted approach to policymakers to debate how to streamline regulatory efforts for future AI governance.Type:journal articleJournal:Regulation & GovernanceVolume:18Issue:3Scopus© Citations 38 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, AI and Law: How Automation is Changing the LawThis book provides insights into how AI is changing legal practice, government processes, and individuals’ access to those processes, encouraging each of us to consider how technological advances are changing the legal system. Particularly, and distinct from current debates on how to regulate AI, this books focuses on how the progressive merger between computational methods and legal rules changes the very structure and application of the law itself. We investigate how automation is changing the legal analysis, legal rulemaking, legal rule extraction, and application of legal rules and how this impacts individuals, policymakers, civil servants, and society at large. We show through many examples that a debate on how automation is changing the law is needed, which must revolve around the democratic legitimacy of the automation of legal processes, and be informed by the technical feasibility and tradeoffs of specific endeavors.Type:book