Robust Explainable AI
暫譯: 穩健的可解釋人工智慧

Francesco Leofante is a researcher affiliated with the Centre for Explainable AI at Imperial College. His research focuses on explainable AI, with special emphasis on counterfactual explanations for AI-based decision-making. His recent work highlighted several vulnerabilities of counterfactual explanations and proposed innovative solutions to improve their robustness.

Matthew Wicker is an Assistant Professor (Lecturer) at Imperial College London and a Research Associate at The Alan Turing Institute. He works on formal verification of trustworthy machine learning properties with collaborators form academia and industry. His work focuses on provable guarantees for diverse notions of trustworthiness for machine learning models in order to enable responsible deployment.

Francesco Leofante 是一位隸屬於帝國學院可解釋人工智慧中心的研究員。他的研究專注於可解釋的人工智慧，特別強調針對基於人工智慧的決策的反事實解釋。他最近的工作突顯了反事實解釋的幾個脆弱性，並提出了創新的解決方案以提高其穩健性。

Matthew Wicker 是倫敦帝國學院的助理教授（講師）及艾倫·圖靈研究所的研究助理。他與學術界和業界的合作者一起，致力於可信機器學習特性的形式驗證。他的工作專注於為機器學習模型的多樣化可信性概念提供可證明的保證，以促進負責任的部署。