Natalie Leesakul

Orcid: 0000-0003-4602-7420

According to our database1, Natalie Leesakul authored at least 8 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

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
Responsible domestic robotics: exploring ethical implications of robots in the home.
J. Inf. Commun. Ethics Soc., 2019


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