We are pleased to announce the guide, Integrating Security and Ethics into AI-Driven Research Software, by Abdulhamid A. Ardo, reviewed by Chandan Bose.
AI-driven research software is increasingly used to generate insights, automate analysis and support decision-making. However, focusing only on model performance can leave security vulnerabilities, ethical risks, and reproducibility challenges unaddressed.
Aimed at research software engineers and project leads, the guide offers practical steps to consider security and ethics throughout the AI development lifecycle, from problem framing and data collection to model development, deployment, and maintenance.
It introduces common risks, including data leakage, adversarial attacks, vulnerable software dependencies, dataset bias and unclear accountability. It also includes a checklist to help teams build security and ethics checkpoints into their work.
After reading the guide, readers should be able to identify these risks and document datasets, model assumptions and known limitations to support more transparent, reproducible and responsible AI research software.