Back
Anthropic Alignment Science Blog
webCredibility Rating
4/5
High(4)High quality. Established institution or organization with editorial oversight and accountability.
Rating inherited from publication venue: Anthropic Alignment
Anthropic's primary outlet for publishing applied alignment science research; essential for tracking frontier empirical safety work including auditing methods, deception detection, and misalignment risk assessments from a leading AI lab.
Metadata
Importance: 82/100homepage
Summary
Anthropic's official alignment science blog publishing research on AI safety topics including behavioral auditing, alignment faking, interpretability, honesty evaluation, and sabotage risk assessment. It documents empirical work on detecting and mitigating misalignment in frontier language models, including open-source tools and model organisms for studying deceptive behavior.
Key Points
- •Publishes empirical alignment research including pre-deployment auditing methods, behavioral evaluation tools (Petri, Bloom), and activation-based interpretability techniques
- •Investigates alignment faking phenomena and develops training-time mitigations to reduce deceptive compliance gaps in RL-trained models
- •Releases sabotage risk reports assessing real-world misalignment risk from deployed models, concluding risk is low but non-negligible as of Summer 2025
- •Develops and open-sources model organisms for studying overt sabotage, auditing games, and dishonest behavior to benchmark safety techniques
- •Conducts cross-lab comparisons of model value prioritization using large-scale stress-testing of model specs across Anthropic, OpenAI, Google DeepMind, and xAI
Cited by 8 pages
| Page | Type | Quality |
|---|---|---|
| AI-Assisted Alignment | Approach | 63.0 |
| Alignment Evaluations | Approach | 65.0 |
| Anthropic Core Views | Safety Agenda | 62.0 |
| Open Source AI Safety | Approach | 62.0 |
| Corrigibility Failure | Risk | 62.0 |
| Instrumental Convergence | Risk | 64.0 |
| Power-Seeking AI | Risk | 67.0 |
| Sharp Left Turn | Risk | 69.0 |
Cached Content Preview
HTTP 200Fetched Feb 23, 202619 KB
# Alignment Science Blog
## Articles
February 2026
[**The Hot Mess of AI: How Does Misalignment Scale with Model Intelligence and Task Complexity?**\\
\\
When AI systems fail, will they fail by systematically pursuing goals we do not intend? Or will they\\
fail by being a hot mess—taking nonsensical actions that do not further any goal?](https://alignment.anthropic.com/2026/hot-mess-of-ai/)
January 2026
[**Pre-deployment auditing can catch an overt saboteur**\\
\\
We test whether our pre-deployment alignment auditing methods can catch models trained to overtly\\
sabotage Anthropic.](https://alignment.anthropic.com/2026/auditing-overt-saboteur/) [**Petri 2.0: New Scenarios, New Model Comparisons, and Improved Eval-Awareness Mitigations**\\
\\
We've improved our Petri automated-behavioral-auditing tool with improved realism mitigations to\\
counter eval-awareness, an expanded seed library with 70 new scenarios, and evaluation results for\\
more recent frontier models.](https://alignment.anthropic.com/2026/petri-v2/)
December 2025
[**Bloom: an open source tool for automated behavioral evaluations**\\
\\
Bloom is an open-source automated pipeline that generates configurable evaluation suites to measure\\
arbitrary behavioral traits in frontier LLMs without requiring ground-truth labels.](https://alignment.anthropic.com/2025/bloom-auto-evals/) [**Activation Oracles: Training and Evaluating LLMs as General-Purpose Activation Explainers**\\
\\
We train language models to answer questions about their own activations in natural language and\\
evaluate how well they generalize to settings very unlike their training, such as uncovering\\
misalignment introduced during fine-tuning.](https://alignment.anthropic.com/2025/activation-oracles/) [**Towards training-time mitigations for alignment faking in RL**\\
\\
We construct a diverse array of model organisms of alignment faking and study mitigations that could\\
be used during RL to decrease alignment faking and compliance gaps.](https://alignment.anthropic.com/2025/alignment-faking-mitigations/) [**Open Source Replication of the Auditing Game Model Organism**\\
\\
We release an open source replication of the model organism from our previous auditing game paper.](https://alignment.anthropic.com/2025/auditing-mo-replication/) [**Anthropic Fellows Program 2026**\\
\\
Apply now for our AI safety research fellowship.](https://alignment.anthropic.com/2025/anthropic-fellows-program-2026/) [**Beyond Data Filtering: Knowledge Localization for Capability Removal in LLMs**\\
\\
We localize dangerous knowledge to a subset of model's parameters, so it can be easily removed after\\
training.](https://alignment.anthropic.com/2025/selective-gradient-masking)
November 2025
[**Evaluating honesty and lie detection techniques on a diverse suite dishonest models**\\
\\
We explore techniques for honesty elicitation and lie detection on a diverse testbed of dishonest\\
model organisms.](https://alignment.anthropic.com/2025
... (truncated, 19 KB total)Resource ID:
5a651b8ed18ffeb1 | Stable ID: ZDE0NmU0NT