AI-Supported Brain–Computer Interfaces and the Emergence of ‘Cyberbilities’
Open accessAbstract
In this chapter, the philosophers Oliver Mueller and Boris Essmann address AI-supported neurotechnology, especially Brain–Computer Interfaces (BCIs) that may in the future supplement and restore functioning in agency-limited individuals or even augment or enhance capacities for natural agency. The authors propose a normative framework for the evaluation of neurotechnological and AI-assisted agency based on ‘cyberbilities’. These are capabilities that emerge from human–machine interactions in which agency is distributed across human and artificial elements. The authors conclude by providing a list of cyberbilities that is meant to support the well-being of individuals.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
AI does not merely extend cognition, but also modifies emotional, volitional, and social capacities (cyberbilities).
“Moreover, as recent theories of cyberbilities [16] suggest, AI does not merely extend cognition, but also modifies emotional, volitional, and social capacities.”
From 4E cognition and the coevolution of human–AI interaction (2025) · cites this paper as [16]
In “Introducing a List of Cyberbilities” (page unavailable), the paper discusses how AI-supported neurotechnology may affect volitional autonomy and social agency, so the claim goes beyond cognition in a way the source supports. It does not establish that AI generally modifies emotional capacities: it discusses opportunities to express feelings, rather than changes to emotional capacity, and frames these effects as possibilities of neurotechnological human–machine interaction. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Development as Capability Expansion
Sen, A. K. (1990) · Palgrave Macmillan UK eBooks · doi:10.1007/978-1-349-21136-4_3 · Cited by 1,223 · see citing works
Women and Human Development: The Capabilities Approach
Zein-Elabdin, E. (2002) · Journal of Economic Issues · doi:10.1080/00213624.2002.11506463 · Cited by 259 · see citing works
Poverty, Well‐Being, and Gender: What Counts, Who's Heard?
Okin, S. M. (2003) · Philosophy & Public Affairs · doi:10.1111/j.1088-4963.2003.00280.x · Cited by 187 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Extended human agency: towards a teleological account of AI
Noller, J. (2024) · Humanities and Social Sciences Communications · doi:10.1057/s41599-024-03849-x · Cited by 30 · see citing works
4E cognition and the coevolution of human–AI interaction
Noller, J. (2025) · Discover Artificial Intelligence · doi:10.1007/s44163-025-00595-0 · Cited by 8 · see citing works
Connectionism about human agency: responsible AI and the social lifeworld
Noller, J. (2025) · AI & SOCIETY · doi:10.1007/s00146-024-02133-5 · Cited by 6 · see citing works
Wu, L., & Chen, H. (2025) · Neuroethics · doi:10.1007/s12152-025-09602-8 · Cited by 7 · see citing works
المسؤولية الأخلاقية في أبحاث الذكاء الاصطناعي وتطبيقاته
زيد, س. أ. (2026) · الفكر الإسلامي المعاصر (إسلامية المعرفة سابقا) · doi:10.35632/citj.v31i111.17259
BALDUCCI, M., & Ugolini, L. (2026) · DigitCult - Scientific Journal on Digital Cultures · doi:10.54103/2531-5994/31736
Extended Judgment: LLMs and the Architecture of Artificial Capacities
Noller, J. U. (2026) · Topoi · doi:10.1007/s11245-026-10485-4
- Authors
- Essmann, B., & Mueller, O.
- Affiliations
- University of Freiburg (DE)
- Venue
- The Cambridge Handbook of Responsible Artificial Intelligence
- Publisher
- Cambridge University Press
- Published
- 2022-11-17
- Pages
- 427-444
- OpenAlex
- W4307423879
- Cited by
- 7
- References
- 3
- Citations by year
- 2026: 3 · 2025: 2 · 2024: 2
- FWCI
- 3.15
- Type
- book chapter
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Cambridge University Press eBooks (publishedVersion)
- Funders
- University of Cambridge
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neuroethics, Human Enhancement, Biomedical Innovations
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Cybernetics and Technology in Society
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Keywords
- brain-computer interface, neurotechnology, human-machine interaction, distributed agency, normative evaluation, well-being
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
