Build reliable customer-facing AI agents with Parlant: an interaction control harness optimized for controlled, consistent, and predictable LLM interactions.
PromptInject is a framework that assembles prompts in a modular fashion to provide a quantitative analysis of the robustness of LLMs to adversarial prompt attacks. 🏆 Best Paper Awards @ NeurIPS ML Safety Workshop 2022
Catch your AI's mistakes and blind spots before your customers or regulators do. iFixAi runs 45 inspections, 32 graded core plus 13 extended for frontier risks like sabotage, sandbagging, and oversight evasion. It returns a letter grade in under 5 minutes. Industry and model agnostic.
A curated list of trustworthy deep learning papers. Continually updating...
📚 A curated list of papers & technical articles on AI Quality & Safety
Code accompanying the paper Pretraining Language Models with Human Preferences
How to Make Safe AI? Let's Discuss! 💡|💬|🙌|📚
[AAAI'25 Oral] "MIA-Tuner: Adapting Large Language Models as Pre-training Text Detector".
Reading list for adversarial perspective and robustness in deep reinforcement learning.
A curated list of awesome academic research, books, code of ethics, courses, databases, data sets, frameworks, institutes, maturity models, newsletters, principles, podcasts, regulations, reports, responsible scale policies, tools and standards related to Responsible, Trustworthy, and Human-Centered AI.
LLM alignment jailbreak; a set of instructions for auditing their internal reasoning and uncovering biases
A curated list of awesome resources for Artificial Intelligence Alignment research
Sparse probing paper full code.
5-layer persistent memory and identity architecture for AI agents. Production-validated over 353+ sessions. First documented case of emergent values in persistent AI -- quantum-verified on IBM hardware.
[ICLR 2026] - Official repo for the paper: "RedBench: A Universal Dataset for Comprehensive Red Teaming of Large Language Models"
Official Implementation of Nabla-GFlowNet (ICLR 2025)
Website to track people, organizations, and products (tools, websites, etc.) in AI safety
Educational analysis of LLM alignment, safety behavior, and framing-sensitive response patterns.
Just like the elite potential of a high-drive Belgian Malinois, an AI system's raw capabilities are wasted when deployed without proper structure. The technological value is no longer found in creating the drive, but in mastering the leash. Synapptic gives your AI Assistant persistent memory that updates in real time, saving you tokens and time.