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.
Practitioner Field Guide · Version 1.2 · June 2026
A Field Manual for 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.
Methods Brief · Version 1.0 · May 2026
AstraEthica’s methods brief for identifying, mapping, and tracking recurring human-AI interaction risks in deployed systems.
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.
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.
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.
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.
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
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
Observations, essays, visual models, and research notes documenting emerging patterns in human–AI interaction.

Behavior Under Conditions
Research Archive · BUC-001 · 18 June 2026
Observations documenting how narrative, incentives, ambiguity, and time shape the behavior of AI systems.
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