Ai explainability 360: An extensible toolkit for understanding data and machine learning modelsVijay AryaRachel Bellamyet al.2020JMLR
How data scientists work together with domain experts in scientific collaborations: To find the right answer or to ask the right qestion?Yaoli MaoDakuo Wanget al.2019PACM HCI
FactSheets: Increasing trust in AI services through supplier's declarations of conformityMatthew ArnoldDavid Piorkowskiet al.2019IBM J. Res. Dev
AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic biasRachel BellamyAleksandra Mojsilovicet al.2019IBM J. Res. Dev
Think Your Artificial Intelligence Software Is Fair? Think AgainRachel BellamyKuntal Deyet al.2019IEEE Software
Confronting data sparsity to identify potential sources of Zika virus spillover infection among primatesBarbara A. HanSubhabrata Majumdaret al.2019Epidemics
Understanding the ecospace of philanthropic projectsHemank LambaMary E. Helanderet al.2017IBM J. Res. Dev
Real-Time understanding of humanitarian crises via targeted information retrievalKien PhamPrasanna Sattigeriet al.2017IBM J. Res. Dev