Natalie Leesakul
Orcid: 0000-0003-4602-7420
According to our database1,
Natalie Leesakul
authored at least 8 papers
between 2019 and 2025.
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Bibliography
2025
Objection Overruled! Lay People can Distinguish Large Language Models from Lawyers, but still Favour Advice from an LLM.
Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025
2024
A Survey of Lay People's Willingness to Generate Legal Advice using Large Language Models (LLMs).
Proceedings of the Second International Symposium on Trustworthy Autonomous Systems, 2024
Not the Law's First Rodeo: Towards regulating trustworthy collaborative industrial embodied autonomous systems.
Proceedings of the Second International Symposium on Trustworthy Autonomous Systems, 2024
2023
Facial identity protection using deep learning technologies: an application in affective computing.
AI Ethics, 2023
Position Paper: The role of law in achieving privacy and security measures in smart buildings from the GDPR context.
Proceedings of the IEEE European Symposium on Security and Privacy, 2023
2022
A Blockchain-Based Architecture to Manage User Privacy Preferences on Smart Shared Spaces Privately.
Proceedings of the Data Privacy Management, Cryptocurrencies and Blockchain Technology, 2022
2021
Towards Privacy-Preserving Affect Recognition: A Two-Level Deep Learning Architecture.
CoRR, 2021
2019
J. Inf. Commun. Ethics Soc., 2019