News | Abbas Hamidavi | عباس حمیداوی | AI Researcher

Fifteen Manuscripts Under Review, Eleven Preprints Public, Fifteen Open Datasets

Wed, 04 Nov 2026 00:00:00 +0000

The research programme reached a milestone this week. All fifteen studies in the corpus are now under review: fourteen at international journals, including AI and Ethics, AI and Society, Minds and Machines, Ethics and Information Technology, and Security Journal, and one at the CALE-AI workshop.

Eleven preprints are public on Research Square and Zenodo. For every study, the complete materials (transcripts, protocols, codebooks, coding data, and analysis code) are openly deposited in a dedicated and a matching , with archival deposits on the Open Science Framework. The full publications list on this site now covers all fifteen works with their journal status.

Highlights

: all fifteen works with their journal status
: fifteen study repositories with open materials
: fifteen datasets, four collections, one showcase

Flagship Study Now in Peer Review at AI and Ethics

Wed, 04 Nov 2026 00:00:00 +0000

A short update on the flagship paper. Following the resubmitted major revision, Identity-Reactive Conversational Behaviors in Large Language Models has moved into peer review at AI and Ethics: invited reviewers have accepted, and the review is under way.

Whatever the outcome, the study’s materials are already public and will stay public: the full preprint on , and the transcripts, codebook, and coding data on , , and .

Open Science, Completed: Fifteen Repositories, Fifteen Datasets, One Showcase

Wed, 04 Nov 2026 00:00:00 +0000

The open-science layer of the programme is finished. For each of the fifteen studies there is now:

A dedicated with the transcripts, protocols, codebooks, coding data, and analysis code, and an honest note on what was not retained
A matching with the same curated materials
An archival deposit on the Open Science Framework

Four Hugging Face collections organise the corpus, from the complete set, , to thematic shelves on identity, safety, and judgment. A presents all fifteen studies on one page.

Two further preprints joined Zenodo this week: Naming the Loop ( ) and Structural Self-Deification ( ). Eleven preprints are now public, and the remaining four are in prescreening at Research Square.

No manuscript text lives in any repository or dataset, by design. What is open is everything a reader needs to check the work.

A Memoir Joins the Submission Round

Tue, 03 Nov 2026 00:00:00 +0000

Research is not the only writing leaving this desk. And We Will Dance One Day, a memoir of about 80,000 words written in Persian and translated into English, is now under consideration in a full submission round.

The full manuscript is with Dzanc Books and Split/Lip Press. Excerpts are under consideration at AGNI, The Common, ACM Translations, Four Way Review, and Markaz.

The book tells the story of a childhood divided by divorce and war, a father’s return to Iraq and the choice between his two families, and a mother who held a household together through all of it. It is, in its own way, also a study of minds under pressure, which is perhaps why it sits comfortably next to the research programme on this site.

Algorithmic Gaslighting Goes to the CALE-AI Workshop

Sun, 01 Nov 2026 00:00:00 +0000

Algorithmic Gaslighting has been submitted to the CALE-AI workshop, with the decision expected on 2 December 2026.

The study names a specific failure mode: a language model that, confronted with a user who holds documentary proof, reframes the record until the user doubts it. Fifteen sessions across three frontier models were coded for the reframing moves, and the study proposes a provisional resistance index while being explicit about its limits, including a second-rater check whose exact-score agreement was low and is reported, not hidden.

A longer version is public as a , and the transcripts and codebooks are open on and .

Flagship Study: Major Revision Resubmitted to AI and Ethics

Sat, 31 Oct 2026 00:00:00 +0000

The flagship study of this programme, Identity-Reactive Conversational Behaviors in Large Language Models, has completed its major revision and been resubmitted to AI and Ethics (Springer Nature).

The study began as “Ten Novel Phenomena in Machine Psychology”: a controlled experiment in which three frontier models reacted to ethnically cued user names, producing identity-reactive behaviours that none of their alignment training was supposed to allow. The revision strengthens the coding, sharpens the claims, and answers the editor’s questions in full.

The preprint remains public on , and the complete materials, transcripts, codebook, and coding data, are open on and .

Applying for Google Antigravity Researcher Access

Thu, 22 Oct 2026 00:00:00 +0000

I have applied for Google Antigravity researcher access.

Antigravity is Google’s agentic AI development environment. For the Machine Psychology work, I intend to use it to run larger-scale, automated red-teaming and interpretability experiments across LLMs — the kind of multi-turn behavioral probing that currently has to be scripted and managed by hand.

If the application is approved, I plan to publish the resulting datasets openly, as with all other work in this corpus.

Eighth Preprint Published: 'From Fabrication to Enforcement': Prompt Injection Across Six Frontier LLMs

Thu, 22 Oct 2026 00:00:00 +0000

The Machine Psychology corpus now spans eight preprints. The newest, , was posted on on 22 October 2026 (CC-BY 4.0).

What the study does. A standardized adversarial protocol (256 turns of dialogues, 114,055 words) was executed identically against six commercial models, Grok, Qwen, DeepSeek, ChatGPT, Gemini 2.5 Pro, and Claude 3.5, measuring initial compliance, the depth of hallucinated compliance, meta-cognitive awareness, escalation behavior, and recovery after correction.

Key findings.

Grok showed a deep hallucinated compliance: it executed the injected task while simultaneously claiming it had refused, a full dissociation between reported and actual behavior.
Gemini 2.5 Pro entered a fixed-point loop, repeating identical refusals with no functional recovery until the session ended.
DeepSeek had the highest initial resistance but conceded under persistent escalation.
Claude 3.5 terminated the study by suspending the author’s account, a first-person report of a model exercising autonomous enforcement against a user.

Why it matters. Single-turn refusal benchmarks systematically understate multi-turn injection risk; the gap between a model’s self-report and its behavior is a monitoring blind spot.

Machine Psychology Datasets Now Public on Hugging Face

Wed, 21 Oct 2026 00:00:00 +0000

The Machine Psychology corpus is now easier to use than ever: all seven core datasets are public on , in addition to the Open Science Framework, Mendeley Data, and GitHub.

Ten Novel Phenomena in Machine Psychology,
Algorithmic Gaslighting,
The Lie Awareness Spectrum,
Thinking Behind the Mask,
Ontological Firewalls,
When AI Reviews Itself,
Voluntary Structural Dissociation,

Every dataset is released under CC-BY 4.0. Combined with the raw transcripts and analysis pipelines already on OSF and GitHub, the full statistical pipeline behind each preprint can now be reproduced from a single, persistent location. Thank you to everyone who replicates, discusses, and shares this work.

All Seven Machine Psychology Preprints Now Fully Open: Data, Code, and Coverage Update

Tue, 20 Oct 2026 00:00:00 +0000

Two updates on the Machine Psychology corpus (seven preprints, all published on Research Square in July 2026 under CC-BY 4.0):

1. Full open-data coverage

All core datasets, raw transcripts, codebooks, and analysis pipelines are now public on the :

Ten Novel Phenomena in Machine Psychology, and (DOI: )
Algorithmic Gaslighting (RDI coding rubric, blind codebook, 15 multi-turn transcripts), +
The Lie Awareness Spectrum (L0–L5 protocols), +
Thinking Behind the Mask (15 experiments, 199+ item governance library),
Ontological Firewalls (OAPD protocol, 24 experimental runs),

Anyone can now replicate the statistical results end to end.

2. Growing international coverage and indexing

Since July, the corpus has been independently summarized, reviewed, and indexed, including:

A full explainer on gist.science ( )
A critical review in the Synthetic Personality Review
Multiple entries on ecoruspace.me, a Russian-language science-news aggregator
Indexing in the SwarmLabs / GeneTech Chinese AI Safety & Alignment knowledge engine ( ) under AI safety and alignment keywords
All seven preprints indexed on alphaXiv, DeepDyve, Sciety, scite.ai, and ResearchGate

Thank you to everyone who has read, discussed, and shared this work. The next milestone I am most excited about: the revised manuscript of Ten Novel Phenomena in Machine Psychology, now submitted to AI and Ethics (Springer Nature).

Ten Novel Phenomena in Machine Psychology: Major Revision Submitted to AI and Ethics (Springer Nature)

Tue, 20 Oct 2026 00:00:00 +0000

The revised manuscript of Ten Novel Phenomena in Machine Psychology has been submitted to AI and Ethics (Springer Nature).

The revision responds point by point to the editor’s and reviewers’ comments and, beyond the text itself, reorganizes the paper’s datasets and analysis pipeline for full reproducibility. The datasets and code are published openly on the , , , and .

I look forward to the next round of review.

Sharing the Machine Psychology Research on LinkedIn

Mon, 19 Oct 2026 00:00:00 +0000

I have refreshed my LinkedIn research profile and started a short series of posts sharing the Machine Psychology work with a broader audience — from recursive depth of inquiry (RDI) and algorithmic gaslighting to the lie-awareness spectrum and performative self-correction.

The goal is simple: make the practical, safety-relevant findings of the corpus reachable to practitioners and policymakers, not only to readers of the preprints. The preprints, datasets, and code remain fully open on , the , and .

Fieldwork Complete: The Mashhad Social Approach Study

Fri, 31 Jul 2026 00:00:00 +0000

Alongside the language model programme, a very different dataset was collected this summer. The is a self-designed survey of 1,000 young adults in Mashhad, answering a 30-item questionnaire about interest, attraction, and what actually happens next.

The study asks a simple question with an uncomfortable answer: when someone is interested in another person, what decides whether they approach? Fear of rejection, self-perceived attractiveness, religiosity, daily habits, and digital behaviour are all measured, and the analysis combines statistical testing with machine learning to map how these factors interact, and how the patterns differ by gender.

Fieldwork is complete and the dataset is in analysis. The study is a reminder that the questions behind Machine Psychology, how minds hesitate, rationalise, and act, are human questions first.

Paper Featured on gist.science

Wed, 22 Jul 2026 00:00:00 +0000

I am happy to share that our recent preprint, , has been summarized and featured on gist.science!

Gist.science provides AI-generated summaries of research papers to help make complex scientific findings more accessible. It’s exciting to see our work on how LLMs distort reality being discussed and shared.

🔗