Tagged “governance”

5 posts.

All Model Architecture19 Training & Alignment22 Inference & Serving18 Agents & Orchestration11 Reasoning & Evaluation26 Safety, Security & Governance7 Platforms & Practice20

Platforms & Practice 24 min

A Model Version Is No Longer a File: Registries for Compound AI Systems

Model registries were built to version a trained artefact you own. An LLM application's behaviour comes from a hosted snapshot that retires on someone else's calendar, plus prompts, an index and tools you change weekly. The relea…

model-registry-and-versioning mlops llm-systems evaluation ∑ ◫

Safety, Security & Governance 24 min

Algorithmic Audits: What an Outside Examination of an AI System Can Actually Establish

Gender Shades measured a 34.4-point error gap on 1,270 faces and moved three vendors within seven months. New York City's mandatory bias audits produced 18 posted reports from 391 employers. The difference was not auditor skill b…

ai-assurance-and-audit evaluation governance compliance ∑ ◫

Reasoning & Evaluation 24 min

What a Feature Attribution Can and Cannot Tell You: SHAP, LIME and the Explanation Gap

Add a column the model never reads and SHAP can hand it more than a quarter of the credit for a decision. That is not a library bug: a Shapley attribution answers a question you chose, often without noticing, and a 2024 PNAS resu…

transparency-and-documentation interpretability responsible-ai causal-inference ∑ ◫

Safety, Security & Governance 11 min

What the EU AI Act enforcement phase actually changes for startups in 2026

The Act passed in 2024, the GPAI rules went live in August 2025, and enforcement powers arrive in August 2026. Most Series-A startups need a handful of specific changes, not a compliance department.

regulation governance eu-ai-act compliance

Safety, Security & Governance 24 min

You Cannot Have All Three: COMPAS, Calibration and the Impossibility Theorems of Fair Classification

In 2016 ProPublica showed that COMPAS wrongly flagged 44.9% of Black defendants who never reoffended against 23.5% of white ones, and its vendor showed the scores meant the same thing for both groups. Both were right, and a one-l…

fairness-and-bias fairness bias calibration ∑ ◫