AI system
- System
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UC Davis intracortical speech neuroprosthesis (BrainGate2 trial)
- Model
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A decoder identifies phonemes. Three language models convert them into words and sentences.
- Release
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Exact release not established.
- Application developer
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UC Davis Neuroprosthetics Lab (Brandman, Stavisky) with the
BrainGate consortium - Role
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The models translated attempted speech into text from cortical recordings.
- Configuration
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Four arrays recorded signals from 256 electrodes in the left precentral gyrus. The language models used a vocabulary of 125,000 words.
- Inputs and outputs
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The system converted cortical activity into phonemes, then words and sentences.
- Autonomy
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Not assessed
- Workflow
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Preserved speech-motor cortical activity during attempted speech despite severe dysarthria. 256-electrode intracortical recording in the ventral precentral gyrus. Phoneme decoder plus large-vocabulary language models calibrated on the participant's own data within minutes. Regulated trial setting (BrainGate2, NCT00912041) with ongoing research support.
- Human oversight
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Not assessed
- Relation to AI
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A neural-network decoder (phoneme prediction every 80 ms) combined with language models is the mechanism converting attempted speech into text. The benefit is attributable to the decoding system, with surgery and arrays as enabling hardware.
- AI contribution
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A neural-network decoder (phoneme prediction every 80 ms) combined with language models is the mechanism converting attempted speech into text. The benefit is attributable to the decoding system, with surgery and arrays as enabling hardware.
Benefits
- Outcome identifiers
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Not assessed
- Benefit
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97.5% sustained accuracy over 248 hours of self-paced conversation
- Category
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Improved Accessibility
- Status
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Not assessed
- Beneficiary groups
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People.
- Beneficiaries
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Not assessed
- Reach
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Not assessed
- Distribution and access
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Not assessed
- Duration
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Not assessed
- Expected?
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Yes
- Costs and harms
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Not assessed
Measurement
- Studies
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Not assessed
- Study design
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Not assessed
- Measurement
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Not assessed
- Setting and sample
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Not assessed
- Measures
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97.5% sustained accuracy over 248 hours of self-paced conversation
- Comparison
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Not assessed
- Results
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97.5% sustained accuracy over 248 hours of self-paced conversation
- Additional value from AI
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Not assessed
- Limitations
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Not assessed
- Denominators
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Not assessed
- Materials for replication
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Not assessed
Money
- Kind of value
-
Not assessed
- Amount
-
Not assessed
- Currency and prices
-
Not assessed
- Period and unit
-
Not assessed
- Realization
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Not assessed
- Recipients and payers
-
Not assessed
- Gross or net
-
Not assessed
- Included costs
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Not assessed
- Comparison
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Not assessed
- Method
-
Not assessed
- Return and payback
-
Not assessed
People and places
- Participants
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Developer: UC Davis Neuroprosthetics Lab (Brandman, Stavisky) with the
BrainGate consortium. Operator: UC Davis Health. - Jurisdictions
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Benefit: Davis,
United States. Developer:
United States. Operator:
United States. - Ownership and control
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Not assessed
- Dependencies
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Not assessed
- Cross-border connections
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Not assessed
- Geopolitical implications
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Not assessed
Follow-up
- Conditions for replication
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Array signal quality remains stable over months to years. Participant retains the ability to attempt speech and the cognition to operate the system. Decoder recalibration available as neural signals drift.
- Replication attempts
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2 follow-up entries. Benefit recurred: 2.
- Later findings
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15 June 2026. A Nature Medicine report covering nearly two years of unsupervised home use found the same participant communicated 1,960,163 words at 56 words per minute and kept full-time employment.
- Availability
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Not assessed
- Institutional decision
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Not assessed
- Grounds
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Not assessed
- Action and result
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Not assessed
- Success criterion
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Not assessed
Evidence
- Source numbers
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AIBD-0002-source-0001–0004
- Citations
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Numbered references below.
- Language
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Not assessed
- Source relationships
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Developer, Independent
- Original evidence
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Not assessed
- Access and versions
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Not assessed
- Supported findings
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Not assessed
- Evidence links
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Not assessed
- Evidence strength
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Not assessed
- Missing evidence
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Not assessed
Grades
- Assessed benefits
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People.
- Depth
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People: 3.
- Reasons
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People: Life-changing benefit to one identifiable person: conversational communication with family and colleagues was restored. The 2026 follow-up documents over 3,800 hours of unsupervised home use, nearly two million words and continued full-time employment.
- Observed or intended
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Not assessed
- Rubric
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Not assessed
- Assessor and date
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Not assessed
- Alternative assessments
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Not assessed
- Fill
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Independently reported
Entry details
- Kind
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Not assessed
- Related entries
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Both decode speech for people with impaired speech; Whisper fabricated words and violent phrases when transcribing impaired speech.
Whisper Speech-to-Text AI Reportedly Found to Create Violent Hallucinations
- Field
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Healthcare / assistive communication. ALS with severe dysarthria.
- Purpose
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Built to restore communication by decoding attempted speech from intracortical activity into text. Conversational communication was the intended benefit and is what occurred.
- Dates
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Date basis unassessed: 2023 (precision unassessed). Updated: 21 October 2026.
- Stage
-
Not assessed
- Version
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SHA-256: 6a9f2d960f0e…
References
- Other identifiers
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oecd_aim: 2026-06-15-4dfc. AI Incident Database: 732.
- Category mappings
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Not assessed
- Brief
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Not assessed
- Revisions
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7 revisions. Latest: 21 October 2026.
Sources
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Peer-reviewed study Developer
Card NS, Wairagkar M, Iacobacci C, et al. (2024). An Accurate and Rapidly Calibrating Speech Neuroprosthesis. N Engl J Med 391(7):609-618 (issue of 15 August 2024).
With further training data, the neuroprosthesis sustained 97.5% accuracy for self-paced conversations for over 248 cumulative hours over 8.4 months after surgical implantation.
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Peer-reviewed study Developer
Card NS, Singer-Clark T, Peracha H, et al. (2026). Long-term independent use of an intracortical brain-computer interface for speech and cursor control. Nature Medicine.
Over nearly 2 years, the participant used the BCI for more than 3,800 h at home with no researchers present.
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News report Independent author
Sanders L (2026). Brain implants are helping people who've lost their voice. Science News.
In 2023, Harrell had four small devices implanted on the left side of his brain.
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Press release Developer
UC Davis Health (2024). New brain-computer interface allows man with ALS to 'speak' again. Institutional release republished by ScienceDaily.
To develop the system, the team enrolled Casey Harrell, a 45-year-old man with ALS, in the BrainGate clinical trial.