Resources

Addressing Data Bias

• Tackling Different Types of Statistical Bias in Data Projects

Cautionary Tales

• Three pitfalls to avoid in machine learning (Riley 2019)

Data Science

• Academic Data Science Alliance
• List of AI and Machine Learning Conferences 2023
• *NASA AIML Team
• NASA GSFC AI Center of Excellence (AICOE)
• *NASA Information, Data, & Analytics Services (IDAS)
• NASA Transform-to-Open-Science (TOPS)
• National Artificial Intelligence Initiative

Explainable and Interpretable ML

• DARPA's explainable AI (XAI) program: A retrospective (Gunning et al. 2021)
• Explaining Explanations: An Overview of Interpretability of Machine Learning (Leilani et al. 2019)
• Interpretability and Explainability in Machine Learning [full Harvard course]
• Interpretable Machine Learning: A Guide for Making Black Box Models Explainable (Molnar)
• Keras Visualization Toolkit
• Marrying Fairness and Explainability in Supervised Learning (Grabowicz et al. 2022)
• The Mythos of Model Interpretability (Lipton 2018)
• OpenXAI
• Short course on Explainable AI [Stanford Online 2022]
• Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead  (Rudin 2019)

Trustworthy and Interpretable AI

• NASA Framework for the Use of Artificial Intelligence (AI) (McLarney et al. 2021)
• Algorithm Watch: AI Guidelines Global Inventory
• AGU Trustworthy AI Resources and AGU Report on Responsible AI/ML for Earth and Space Sciences
• Carnegie Mellon University Block Center for Technology and Society: Responsible AI
• Responsible Use of AI/ML in the Earth, Space, and Environmental Sciences (Stall et al. 2023)
• Responsible AI in the Natural Sciences [CMU Mini-Workshop Recordings]
• Supporting Trustworthy Machine Learning in Heliophysics (Narock et al. 2022)
• Trustworthy ML Initiative (TrustML)

Heliophysics Specific

• Curated Reference: AI-ready Space Science Data Sets
• Machine Learning in Heliophysics (M. Bobra, J. Mason, et al.)
• Python in Heliophysics Community

* Access Restricted