Model, System, and Dataset Cards
Three documentation formats structure AI transparency. Model Cards (Mitchell et al. 2019) — nutrition labels for models: training data, quantitative disaggregated analyses, ethical considerations, caveats; only 0.3% of Hugging Face model cards document ethical considerations (Oreamuno et al. 2023). Datasheets for Datasets (Gebru et al. 2018, CACM) — motivation, composition, collection process, labeling, distribution, maintenance; electronics-datasheet analogy. Data Cards (Pushkarna et al., Google 2022) — modular layered detail (telescopic, periscopic, microscopic) as boundary objects for diverse readers. 2024-2025 developments: automated generation via LLMs (CardGen, Liu et al. 2024); model-card detail correlates with up to 29% download increase on HF (Liang et al. 2024); verifiable attestations (Laminator, Duddu et al. 2024); sustainability reporting additions for carbon/water (Jouneaux et al. July 2025); EU/ISO regulatory cards emerging. System Cards (Sidhpurwala 2024; Meta system-level transparency; "Blueprints of Trust" arXiv:2509.20394) — end-to-end AI system documentation covering security capabilities, prompt-injection protection, data-exfiltration detection, alignment with human values.
This lesson isn’t interactive yet.
It is part of the curriculum and will get the same treatment as Phase 1 — a visual cover, hands-on labs, derivations with numeric checks and a quiz. Until then, the original lesson is the best place to read it:
Part of Phase 18 — Ethics, Safety & Alignment. Use the previous / next cards below to keep browsing the phase.