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2020 – today
- 2024
[c4]Natalie Leesakul
, Jérémie Clos, Richard Hyde:
Not the Law's First Rodeo: Towards regulating trustworthy collaborative industrial embodied autonomous systems. TAS 2024: 15:1-15:10- [c3]Tina Seabrooke, Eike Schneiders, Liz Dowthwaite, Joshua Krook, Natalie Leesakul, Jérémie Clos, Horia A. Maior, Joel E. Fischer:
A Survey of Lay People's Willingness to Generate Legal Advice using Large Language Models (LLMs). TAS 2024: 33:1-33:5 - [i2]Eike Schneiders, Tina Seabrooke, Joshua Krook, Richard Hyde, Natalie Leesakul, Jérémie Clos, Joel E. Fischer:
Objection Overruled! Lay People can Distinguish Large Language Models from Lawyers, but still Favour Advice from an LLM. CoRR abs/2409.07871 (2024) - 2023
- [j2]Jimiama M. M. Mase, Natalie Leesakul, Grazziela P. Figueredo, Mercedes Torres Torres:
Facial identity protection using deep learning technologies: an application in affective computing. AI Ethics 3(3): 937-946 (2023) - [c2]Natalie Leesakul, Charles Morisset:
Position Paper: The role of law in achieving privacy and security measures in smart buildings from the GDPR context. EuroS&P Workshops 2023: 619-626 - 2022
- [c1]Charles V. Neu, Joel Gibson, Roben Castagna Lunardi, Natalie Leesakul, Charles Morisset:
A Blockchain-Based Architecture to Manage User Privacy Preferences on Smart Shared Spaces Privately. DPM/CBT@ESORICS 2022: 136-150 - 2021
- [i1]Jimiama Mafeni Mase, Natalie Leesakul, Fan Yang, Grazziela P. Figueredo, Mercedes Torres Torres:
Towards Privacy-Preserving Affect Recognition: A Two-Level Deep Learning Architecture. CoRR abs/2111.07344 (2021)
2010 – 2019
- 2019
- [j1]Lachlan Urquhart, Dominic Reedman-Flint, Natalie Leesakul:
Responsible domestic robotics: exploring ethical implications of robots in the home. J. Inf. Commun. Ethics Soc. 17(2): 246-272 (2019)
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