Description:
This entry focuses on model documentation, interpretability tools, and communication strategies (model cards, data statements) so AI decisions are understandable to non-experts and accountable to society.

Key Resources:
• “Model Cards & System Cards” (Global) – huggingface.co/docs
Templates and guides for documenting models, limitations, data sources, and intended use.

• “The Turing Way – Explainability & Communication” (Global) – the-turing-way.org
Community handbook with practical tips for interpretable workflows and ethical reporting.

• “FAccT (Fairness, Accountability, and Transparency)” (Global) – facctconference.org
Research community and resources on algorithmic transparency and governance.

How It Helps Young Researchers:
• Builds reproducible, well-documented pipelines.
• Makes AI results auditable by peers, users, and regulators.
• Improves public trust and uptake in real-world pilots.