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Suggested Literature
AI and XAI Guidelines
AI-ACT EN
AI-ACT GR
CLAIM checklist-for-artificial-intelligence-in-medical-imaging-(claim)-2024-update
Clinician-informed XAI evaluation checklist with metrics (CLIX-M) for AI-powered clinical decision support systems
CONSORT-AI and SPIRIT-AI for clinical trials
DECIDE-AI (2022) for early-stage clinical evaluation studies of AI decision support
Ethics and governance of artificial intelligence for health
Ethics and governance of artificial intelligence for health- Guidance on large multi-modal models
FDA – Transparency-ML-Enabled-Devices-Guiding-Principles
Good Machine Learning Practice (GMLP) now aligned with an IMDRF final document (Jan 2025)
NIST AI RMF 1.0 – AI Risk Management Framework
NISTIR 8312 – Four Principles of Explainable Artificial Intelligence
PROBAST AI (Mar 2025) for risk-of-bias-applicability assessment of prediction model studies using AI
STARD-AI (Sep 2025) for AI diagnostic accuracy studies pdf
TRIPOD+AI statement – updated guidance for reporting clinical prediction models that use regression or machine learning methods
WHO guidance on Ethics & Governance of Artificial Intelligence for Health
WHO OMS-AI-Health-Regulatory-considerations
Artificial General Intelligence
Bender (2021) On the Dangers of Stochastic Parrots Can Language Models Be Too
Chollet (2019) On the Measure of Intelligence
Domingos (2012) A Few Useful Things to Know About Machine Learning
Fulgu (2024) Surprising gender biases in GPT
Goldfeder (2026) AI Must Embrace Specialization via Superhuman Adaptable Intelligence
Hamelin (2025) Position Stop Treating ‘AGI’ as the North-star Goal of AI Research
Hendrycks (2025) A Definition of AGI
Huang (2024) From Large Language Models to Large Multimodal Models
Kambhampati∗ (2026) Position_ Stop Anthropomorphizing Intermediate Tokens as Reasoning_Thinking Traces!
LeCun (2022) A Path Towards Autonomous Machine Intelligence
Legg (2007) Universal Intelligence A Definition of Machine Intelligence
Mitchell (2021) Why AI is Harder Than We Think
Quattrociocchi (2026) Statistical approximation is not general intelligence
Zhao (2025) Absolute Zero Reinforced Self-play Reasoning with Zero Data
Be careful with math
Explainable AI
Explainable AI for Images
Brankovic (2025) Clinician-informed XAI evaluation checklist with metrics (CLIX-M) for AI-powered clinical decision support systems
Jin (2023) Guidelines and evaluation of clinical explainable AI in medical image analysis
Lago (2025) Evaluating Explainability A Framework for Systematic Assessment of Explainable AI Features in Medical Imaging
