Natalie Leesakul

Orcid: 0000-0003-4602-7420

According to our database1, Natalie Leesakul authored at least 8 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Objection Overruled! Lay People can Distinguish Large Language Models from Lawyers, but still Favour Advice from an LLM.
CoRR, 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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