Built like a university hospital.
We're built like a university hospital: the commercial lab earns at market rates and funds the nonprofit side, which runs the public-good research.
Clients pay market rates for research, creative and policy work.
On its own: a working practice that pays its own way.Runs the trust-repair cascade as grant-funded public-interest work.
On its own: grant-funded, run on the published protocol.[ FIELD_NOTE ]The field is behavioral infrastructure. The method is applied mechanism design: the economics discipline of Hurwicz, Maskin and Myerson. They are not the same thing, and we do not collapse them.
The Pretend Era™
The lab's flagship research program is a falsifiable framework diagnosing institutional trust collapse as a pluralistic-ignorance equilibrium: a condition in which most people privately reject the official story but comply with it, believing everyone else accepts it. The framework specifies measurable signatures and the conditions under which it would be wrong. Everything else the lab builds is downstream of this diagnosis.
WORK_WITH_US
Like how we think? Bring us a problem.
Every paper here started as someone's live problem. If yours looks like one of them, let's talk.
[ BOOK_A_MEETING ]Or write to imran@auxlabs.co
Jin, M.X., Rajan, S., Gary Bicas, C.E., Hao, M., Dong, L., Mufson, B., & Hafiz, I. (2021). Novel Validated Index for the Measurement of Disinformation Susceptibility at the County Level. Cureus, 13(5). -> Known as the Jin-Hafiz Index. PubMed · PMID 34211810
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Borrowed Voices: Stigma, Preference Falsification, and the Human Data Problem in AI Alignment
INSTRUMENT_01 // AI OVERSIGHT
Is anyone still checking the AI?
An anonymous instrument that measures whether human oversight of an AI deployment still works. Its headline number, the candor gap, is the Pretend Era from AXL-WP-04, measured inside one organization.
SEE_PERPENDICULUM ->
THE COMMONS
Social media stopped being social.
A credible plan to move people off a broken social media model and into communities that are actually social, rooted in trust and consent. The first one is already running.
READ_THE_NECTAR ->
Academics.
A testbed with real deployment for questions that usually die at the end of a paper. Method named, data open. Cite us.
Grant Funders.
Predictions stated in advance, and a structure built so funding cannot bend the finding.
Journalists.
The data is open and the firewall is written down. Conflicts disclosed before you ask.