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At Neural Horizons, we research the Human-AI dyadic relationship through psychology, sociology, and cognitive science. 

We have published resources (all Creative Commons CC-BY 4.0) as per the below:

1. Human-AI Interaction Primer - provides a base language view of the full project documents for non-practitioners. 

2. Robo-Psychology Taxonomy - a "Diagnostic and Statistical Manual" which provides a behaviour-first reference to classify and mitigate machine behavioural anomalies and design failures across five cognitive layers. Also a Robo-Psychology white paper leaning into the technical aspects and reasoning behind the need for a formal taxonomy.

3. Cognitive Susceptibility Taxonomy - A static reference related to the specific human cognitive susceptibilities that intersect with AI behaviours, with a heavy focus on the Human-AI Dyad relationship

4. White paper - The Dyadic Frame in AI Safety, covering the need for the dual lens when assessing or working with AI systems. 

5. Human-AI Fitness Stack - User guide to staying capable, grounded, and connected while using AI systems. 

6. Dyad Aware Uplift Stack (DAUS-5), a 5 level test for any product claiming it makes people more productive, better informed, healthier, better supported, or better governed. Speed is not uplift.

7. Positive Dyad Co-Evolution Capability Overlay, a structured framework for identifying, measuring, and governing human-AI interaction loops that improve human capability over time.

8. AI Terminology translation, suggesting a move away from blunt media terms in AI behavioural risks, and towards a more structured language. 

9. Epistemic Commons Lock-in Overlay, translates AI epistemic-risk findings into an auditable macro-layer for institutions, platforms, research systems, governance workflows, education systems, and model/data ecosystems.

10. Dyadic AI Risk and Capability Assessment, allows users to assess a built system against the human-AI interaction layer before you take it to scale

Click the links in the above, or the below icons to download the PDF's.

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The Dyadic Frame in AI Safety

Human-AI Fitness Stack

DAUS-5 Measurement White Paper

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Epistemic Commons - Lock-in Overlay

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Human-AI Dyad Primer

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Robo--Psychology Taxonomy (RPT)

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Positive Dyad Co-Evolution Capability Overlay

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Dyadic AI Risk & Capability Assessment

Robo-Psychology Taxonomy White Paper

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Cognitive Susceptibility Taxonomy 

(CST)

Field Guide 1 - AI terminology translation

Link to my book

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