Applying a principle of explicability to AI research in Africa: should we do it? - Mary Carman; Benjamin Rosman (Ethics Inf. Technol., 2021)

Fairness and accountability of AI in disaster risk management: Opportunities and challenges. - Caroline M. Gevaert; Mary Carman; Benjamin Rosman; Yola Georgiadou; Robert Soden (Patterns, 2021)

AI ethics and data governance in the geospatial domain of Digital Earth. - Marina Micheli; Caroline M. Gevaert; Mary Carman; Max Craglia; Emily Daemen; Rania Elsayed Ibrahim; Alexander Kotsev; Zaffar Mohamed Ghouse; Sven Schade; Ingrid Schneider; Lea A. Shanley; Alessio Tartaro; et al. (Big Data Soc., 2022)

Unjustified Sample Sizes and Generalizations in Explainable AI Research: Principles for More Inclusive User Studies. - Uwe Peters; Mary Carman (CoRR, 2023)

Unjustified Sample Sizes and Generalizations in Explainable Artificial Intelligence Research: Principles for More Inclusive User Studies. - Uwe Peters; Mary Carman (IEEE Intell. Syst., 2023)

Cultural Bias in Explainable AI Research: A Systematic Analysis. - Uwe Peters; Mary Carman (J. Artif. Intell. Res., 2024)