UvA-DARE (Digital Academic Repository) Privacy concerns in chatbot interactions
By Carolin Ischen, T. Araujo, Hilde A. M. Voorveld, G. van Noort, Edith G. Smit, C.Ischen, G.vanNoort, E.G.Smit, uva.nl
Subfields: Safety, Robustness & Interpretability
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Safety, Robustness & Interpretability
- Iason Gabriel
- Po-Sen Huang
- William S. Isaac
- John F. J. Mellor
- Borja Balle
- Geoffrey Irving
- Amelia Glaese
- Myra Cheng
Citations in the corpus
- Ethical and social risks of harm from Language Models (2021, background): “In one study, humans who interacted with a ‘human-like’ chatbot disclosed more private information than individuals who interacted with a ‘machine-like’ chatbot (Ischen et al., 2019).”
- Taxonomy of Risks posed by Language Models (2022, background): “disclosed more private information than individuals who interacted with a ‘machine-like’ chatbot [87].”
- Human heuristics for AI-generated language are flawed (2022, background): “Previous work has shown that not only are people more likely to disclose private information to and adhere to recommendations by nonhuman entities that they perceive as human (36) but they may start distrusting those they believe are using AI-generated language in their communication (17).”