Exploring the relationship between human consciousness and artificial intelligence
BCEYE is a research lab developing consent-based methods for translating lived experience, reflection, and idea formation into structured inputs for AI research.
Consent-based
Participation is opt-in, scoped, and tied to defined research uses.
Participant-compensated
Human contribution is treated as valuable research input rather than free exhaust.
Research-governed
Data access, licensing, and downstream use are constrained by policy and review.
The thesis
AI lacks structured human experience.
Most AI systems are trained on public text, images, and behavioral traces. Much less work has gone into responsibly studying first-person experience.
BCEYE focuses on reflection, memory, judgment, and idea formation through consent, licensing, and research governance.
What we study
Making consciousness legible.
BCEYE studies the parts of human interior life that can be structured without flattening them into low-quality noise.
Lived experience
How people describe memory, feeling, context, and meaning in their own words.
Thought and reflection
How people reason, revise, explain, and reflect on internal processes.
Ideas and creativity
How new concepts, associations, and insights emerge across different kinds of minds.
Human-AI interface
How first-person input can be structured for future AI, HCI, and BCI research.
Participation
How participation works
Structured contribution, explicit terms, and visibility into what is being licensed and why.
01
Contribute
Participants share structured reflections, lived experiences, or guided idea sessions.
02
Review terms
Each session is paired with clear consent, scope, and licensing language.
03
License
Contributors approve defined research uses instead of handing over unlimited rights.
04
Get compensated
Approved participation and licensed use are treated as compensated research inputs.
05
Support research
Structured data is curated for controlled studies, benchmarks, and partner collaborations.
Consent and governance
Built around participant rights.
BCEYE is designed to study private human material through explicit scope, defined rights, and controlled research use.
Scoped consent
Participation is explicit, revocable where possible, and attached to defined use categories.
Defined licensing
BCEYE is focused on structured reflections, lived experiences, and idea contributions for research use.
Participant compensation
Compensation is built into the model because subjective human input has real scientific value.
Research controls
Access is governed through review, policy, and collaboration rules rather than open extraction.
Research programs
Research programs
Program areas built to make subjective human input scientifically usable.
Experience
Datasets built from first-person accounts of memory, context, feeling, and interpretation.
Thought
Studies of reasoning, reflection, judgment, and cognitive self-report.
Ideas
Research on ideation, originality, conceptual synthesis, and creative emergence.
Interfaces
Long-term work on human-machine interpretation, BCI, and neurotechnology pathways.
Outputs
Methods, datasets, and partnerships.
BCEYE is meant to generate usable research outputs, not just a point of view.
Output framework
Editorial grid
Cleaner and more clinical, with a stronger information-design feel
What BCEYE produces
Licensed research datasets
Structured first-person inputs
Participant-centered collection protocols
Consent, scope, and governance
Evaluation frameworks for subjective inputs
Benchmarks for reflective data
Research collaborations and pilot studies
Applied work with external labs
Research and technical partners
AI research labs
model evaluation
Universities
study design
Neurotechnology teams
interface research
Human-computer interaction groups
participant systems
Help shape the next layer of human-centered AI research.
Join BCEYE as a participant, collaborator, or future research partner.