~/talk

Open Source Tools To Empower Ethical and Robust AI Systems

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A curated GitHub repo with a mermaid taxonomy and runnable Colab notebooks maps open-source tooling across pre‑deployment, runtime and knowledge phases; examples include LLMGuard (Python input/output filters that obfuscate and later restore PII but break streaming), Guardrails AI (validator hub with remote‑judge support), Garak and Promptfoo for probe‑based LLM evaluation, Giskard’s RAG test‑suite generator, ART for adversarial attacks on classic ML, and AI Fairness 360 for bias mitigation — most tools are company‑backed, interoperable, and cover the full ML lifecycle.

AI-written summary · about

  1. 0:00Open source AI security tools
  2. 2:28Rising AI risks and guardrails
  3. 5:42Taxonomy of AI security tools
  4. 8:55Runtime filters for LLM input and output
  5. 12:46Evaluating LLM security with Garak and Promptfoo
  6. 16:41Giskard for vulnerability scanning
  7. 18:30Purple Llama toolkit for LLM security
  8. 21:17Adversarial Robustness Toolbox
  9. 24:07AI Fairness 360 for bias detection
  10. 27:17OASP GenAI Security Project
  11. 28:44FINOS AI Governance Framework
  12. 31:35Key insights on AI security tools
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