Privacy in the Age of Neurotechnology: Investigating Public Attitudes towards Brain Data Collection and Use
Emiram Kablo, Patricia Arias Cabarcos
摘要
Brain Computer Interfaces (BCIs) are expanding beyond the medical realm into entertainment, wellness, and marketing. However, as consumer neurotechnology becomes more popular, privacy concerns arise due to the sensitive nature of brainwave data and its potential commodification. Attacks on privacy have been demonstrated and AI advancements in brain-to-speech and brain-to-image decoding pose a new unique set of risks. In this space, we contribute with the first user study (n=287) to understand people's neuroprivacy expectations and awareness of neurotechnology implications. Our analysis shows that, while users are interested in the technology, privacy is a critical issue for acceptability. The results underscore the importance of consent and the need for implementing effective transparency about neurodata sharing. Our insights provide a ground to analyse the gap in current privacy protection mechanisms, adding to the debate on how to design privacy-respecting neurotechnology. CCS CONCEPTS • Security and privacy → Usability in security and privacy; Social aspects of security and privacy; Human and societal aspects of security and privacy.
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引用它的顶会 Paper3
- Prevalence Overshadows Concerns? Understanding Chinese Users' Privacy Awareness and Expectations Towards LLM-Based Healthcare ConsultationZhihuang Liu, Ling Hu, Tongqing Zhou, Yonghao Tang 等S&P 2025
- What Users Ask, Policies Miss: Unveiling the Gap Between Community-Expressed Privacy Concerns and LLM Provider PoliciesZhihuang Liu, Zhen Huang, Ling Hu, Yifan Yang 等USENIX Security 2026
- PrivaCI in VR: Exploring Perceptions and Acceptability of Data Sharing in Virtual Reality Through Contextual IntegrityEmiram Kablo, Melina Kleber, Patricia Arias CabarcosUSENIX Security 2025
它引用的 Paper2
- Evaluating the Contextual Integrity of Privacy Regulation: Parents' IoT Toy Privacy Norms Versus COPPANoah J. Apthorpe, Sarah Varghese, Nick FeamsterUSENIX Security 2019 · 69 次引用
- High-resolution image reconstruction with latent diffusion models from human brain activityYu Takagi, Shinji NishimotoCVPR 2023
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