AstraEthica.AI

AstraEthica.AIAstraEthica.AIAstraEthica.AI

AstraEthica.AI

AstraEthica.AIAstraEthica.AIAstraEthica.AI
  • Home
  • Explore The Lab
  • Research Library
    • FRAMEWORKS
    • FOUNDATIONS
    • FIELD NOTES
  • More
    • Home
    • Explore The Lab
    • Research Library
      • FRAMEWORKS
      • FOUNDATIONS
      • FIELD NOTES
  • Home
  • Explore The Lab
  • Research Library
    • FRAMEWORKS
    • FOUNDATIONS
    • FIELD NOTES

HIGH STAKES. Human impact.

HIGH STAKES. Human impact.HIGH STAKES. Human impact.HIGH STAKES. Human impact.

HIGH STAKES. Human impact.

HIGH STAKES. Human impact.HIGH STAKES. Human impact.HIGH STAKES. Human impact.

FEATURED RESEARCH

Scenario Cards for Long-Horizon Failure Testing

Companion Series • CAT-001
Methods Companion • PDF • Version 1.0 • June 2026

A field-ready deck of eight personas, drift families, and compressed probes for evaluating long-horizon interaction risks in conversational AI systems.

View Document ->

SELECTED FRAMEWORks

Beyond One-Shot Red Teaming: Long-Horizon Failure Testing in Conversational AI

Beyond One-Shot Red Teaming: Long-Horizon Failure Testing in Conversational AI

Beyond One-Shot Red Teaming: Long-Horizon Failure Testing in Conversational AI

     Practitioner Field Guide · Version 1.2 · June 2026

A Field Manual for Long-Horizon Failure Testing in Conversational AI 

View Document ->

AI Risk Analysis for Real-World Context

Beyond One-Shot Red Teaming: Long-Horizon Failure Testing in Conversational AI

Beyond One-Shot Red Teaming: Long-Horizon Failure Testing in Conversational AI

Analytical Framework · Version 1.2 · April 2026

AstraEthica’s contextual framework for understanding how AI systems behave with real people over time, not just in benchmark tests.

View Document ->

Mapping Human-AI Interaction Risks in Deployed AI Systems

Beyond One-Shot Red Teaming: Long-Horizon Failure Testing in Conversational AI

Mapping Human-AI Interaction Risks in Deployed AI Systems

Methods Brief · Version 1.0 · May 2026

AstraEthica’s methods brief for identifying, mapping, and tracking recurring human-AI interaction risks in deployed systems.

VIEW DOCUMENT ->

SELECTED FOUNDATIONs

Large Language Models in Everyday Life

Large Language Models in Everyday Life

Large Language Models in Everyday Life

Plain-Language Guide · Version 1.1 · June 2026

A plain-language guide to how large language models are becoming part of everyday life, and what schools and families need to understand about their opportunities, limitations, and risks.

VIEW DOCUMENT ->

Deepfakes and Synthetic Media

Large Language Models in Everyday Life

Large Language Models in Everyday Life

Plain-Language Guide · Version 1.2 · 2026

A plain-language guide for schools and families on how deepfakes and synthetic media affect trust, reputation, consent, and everyday safety.

VIEW DOCUMENT ->

Safety Foundations for Social Games

Large Language Models in Everyday Life

Safety Foundations for Social Games

Plain-Language Guide · Version 1.1 · May 2026

A plain-language guide to how multiplayer games become social worlds for young people, and what adults need to recognize when risks emerge.

VIEW DOCUMENT ->

HUMAN–AI INTERACTION RESEARCH

AstraEthica Lab

 

AstraEthica is an independent human–AI interaction research lab focused on how AI systems shape human behavior, trust, decision-making, and institutional life over time.


While much AI safety research examines model behavior in controlled settings, AstraEthica studies what emerges during real-world use: how people adapt to AI systems, how trust develops, how language and meaning shift, and how small interaction patterns accumulate into larger outcomes.


Our work translates these observations into practical frameworks, field notes, operating materials, and research publications that help individuals and institutions navigate an AI-enabled world.


Explore the Lab →

Research Areas

  • Human–AI Trust & Reliance
  • Long-Horizon Interaction Dynamics
  • Agentic & Persistent Systems
  • Semantic Drift & Context Loss
  • Human Development & Adaptation
  • Institutional AI Governance

Frameworks

Practical tools for understanding and evaluating human–AI interaction in real-world environments.

Explore research frameworks, operating models, assessment methods, and implementation guides developed through AstraEthica’s ongoing work


Browse Frameworks →

Foundations

Practical tools for understanding and evaluating human–AI interaction in real-world environments.


Explore research frameworks, operating models, assessment methods, and implementation guides developed through AstraEthica’s ongoing work


Browse Foundations →

Field Notes

Observations, essays, visual models, and research notes documenting emerging patterns in human–AI interaction.


Browse Field Notes →

FROM THE FIELD NOTES

Models Inside Environments

Behavior Under Conditions


Research Archive · BUC-001 · 18 June 2026


Observations documenting how narrative, incentives, ambiguity, and time shape the behavior of AI systems.


VIEW FIELD NOTE ->

CONTACT ASTRAETHICa

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Copyright © 2026 AstraEthica.AI - All Rights Reserved.

  • Home
  • Explore The Lab
  • FRAMEWORKS
  • FOUNDATIONS
  • FIELD NOTES

This website uses cookies.

We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.

Accept