The manuscript “An Ethical Framework for Incorporating Digital Technology into Advance Directives: Promoting Informed Advance Decision Making in Healthcare” by S. Gloeckler, Andrea Ferrario (Mobiliar Lab for Analytics at ETH and Chair of Technology Marketing, ETH) and N. Biller-Andorno has been accepted in the Yale Journal of Biology and Medicine.
The manuscript “How explainability contributes to trust in AI” by Andrea Ferrario (Mobiliar Lab for Analytics at ETH and Chair of Technology Marketing, ETH) and Michele Loi has been accepted at the 2022 ACM Conference on Fairness, Accountability, and Transparency (FAccT’22).
The manuscript “Evaluating the Effects of a Programming Error on a Virtual Environment Measure of Spatial Navigation Behavior,” coauthored by Andrea Ferrario (Mobiliar Lab for Analytics at ETH and Chair of Technology Marketing, ETH), has been accepted in the Journal of Experimental Psychology: Learning, Memory, and Cognition.
The manuscript “Predicting Working Memory in Healthy Older Adults Using Real-Life Language and Social Context Information: A Machine Learning Approach” by Andrea Ferrario (Mobiliar Lab for Analytics at ETH and Chair of Technology Marketing, ETH) et al., has been accepted for publication in JMIR Aging. The authors show that machine learning may support the prediction…
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The manuscript “Coping with Imbalanced Data in the Automated Detection of Reminiscence from Everyday Life Conversations of Older Adults” by Andrea Ferrario (Mobiliar Lab for Analytics at ETH and Chair of Technology Marketing, ETH) et al., has been accepted for publication in IEEE Access. The authors improve previous results on detection of reminiscence introducing a…
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The manuscript “Design publicity of black box algorithms: a support to the epistemic and ethical justifications of medical AI systems” by Andrea Ferrario (Mobiliar Lab for Analytics at ETH and Chair of Technology Marketing, ETH), has been accepted for publication in the Journal of Medical Ethics (JME). The author argues that a peculiar form of…
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The manuscript “A Data-Driven Agent-Based Simulation to Predict Crime Patterns in an Urban Environment” by Raquel Rosés, Cristina Kadar, and Nick Malleson has been accepted for publication on Computers, Enviroment and Urban Systems. The publication stems from work that the first two authors conducted as PhD students of the Mobiliar Lab for Analytics at ETH.
Today, Michaela Benk and Andrea Ferrario (Mobiliar Lab for Analytics at ETH) had Jürg Schelldorfer (SwissRe) as a guest speaker in the seminar “Machine Learning Applications and Society: Interpretability, Explanations and Trust”. Jürg provided the audience with insightful considerations on the use of interpretable machine learning in reinsurance.
Today, Michaela Benk and Andrea Ferrario (Mobiliar Lab for Analytics at ETH) had Michele Loi (University of Zurich) as a guest speaker in the seminar “Machine Learning Applications and Society: Interpretability, Explanations and Trust”. Michele shared his point of view on algorithmic fairness and the explainability of AI. He discussed the importance of the reasons…
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Today, Michaela Benk and Andrea Ferrario (Mobiliar Lab for Analytics at ETH) had Tim Miller (University of Melbourne) as a guest speaker in the seminar “Machine Learning Applications and Society: Interpretability, Explanations and Trust”. Tim introduced a novel account of trust in human-AI interactions and discussed some of the most relevant challenges in explaining AI…
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