The interdisciplinary team of researchers at ACRAI brings together expertise in computer science, law, philosophy, sociology, and other relevant fields to address the multifaceted challenges posed by AI.
Their research covers a broad range of topics in which major achievements have been accomplished.
Responsible AI in general
- Book on “Data Science Ethics: Concepts, Techniques and Cautionary Tales”, by David Martens (2022), published by Oxford University Press
Explainable AI:
- Patent on “Apparatus, method and computer-accessible medium for explaining classifications of documents” by David Martens and Foster Provost (2017) - US Patent 9,836,455
- First introduced the counterfactual explanation in 2011 (by David Martens and Foster Provost, as far as we know).
- Nokia Bell Labs Student Award 2018 (BeNeLux), “What if AI systems could explain themselves better?”, José Oramas
Fair Machine Learning: