Beyond Brain Data: An Enactive Approach to Brain-Computer Interface-Mediated Mind Reading and Mental Privacy
Neuroethics May 31, 2026 Peer reviewed DOI: 10.1007/s12152-026-09650-8 via Springer Nature
Summary
Brain-computer interfaces (BCIs) are often claimed to read minds, threatening mental privacy. However, successful decoding of thoughts, such as PIN numbers or reconstructed sentences, depends on structured tasks, controlled stimuli, and user cooperation. This paper argues that BCI-mediated mind reading is not direct access to hidden thoughts but an interactional effect co-produced by technology, environment, and user engagement. Protecting mental privacy therefore requires more than data control; it must safeguard individuals' autonomy and agency in sense-making and embodied expression. This reframing challenges inflated claims about BCI capabilities and grounds a more robust ethical framework for neurotechnology governance.
Study at a glance
| Design | theoretical or philosophical paper |
|---|---|
| Key finding | BCI-mediated mind reading is not direct access to hidden thoughts but an interactional effect co-produced by technology, environment, and user engagement, so protecting mental privacy requires safeguarding autonomy and agency beyond data control. |
Abstract
Advances in Brain-computer interfaces (BCIs) have intensified debates about their alleged capacity to read minds and the implications for mental privacy. Prevailing accounts often assume that brain data can reveal inner mental states, framing privacy as a matter of data protection. Yet experimental demonstrations, such as PIN decoding or semantic reconstruction, show that successful decoding depends on structured tasks, controlled stimuli, and participant cooperation. This paper asks: what does mind reading with BCIs really mean, how should such results be interpreted, and what are the ethical stakes? Drawing on enactivism, we reframe BCI-mediated mind reading not as direct access to hidden thoughts but as an interactional effect co-produced by technology, environment, and user engagement. From this perspective, protecting mental privacy requires more than controlling data: it must safeguard individuals’ autonomy and agency in sense-making and embodied expression. This reframing not only challenges inflated claims about BCI capabilities but also grounds a more robust ethical framework for protecting mental privacy and guiding neurotechnology governance.