Eindhoven Center for the Philosophy of AI
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explainability
A Historical Perspective of Biomedical Explainable AI Research
The black-box nature of most artificial intelligence (AI) models encourages the development of explainability methods to engender trust …
Luca Malinverno
,
Vesna Barros
,
Francesco Ghisoni
,
Giovanni Visonà
,
Roman Kern
,
Philip J. Nickel
,
Barbara Elvira Ventura
,
Ilija Šimić
,
Sarah Stryeck
,
Francesca Manni
,
Cesar Ferri
,
Claire Jean-Quartier
,
Laura Genga
,
Gabriele Schweikert
,
Mario Lovrić
,
Michal Rosen-Zvi
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Project
DOI
Artificial Intelligence - Life Cycle Processes and Quality Requirements - Part 3: Explainability
Models developed using machine learning are increasingly prevalent in scientific research. At the same time, these models are …
DIN SPEC 92001-3
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Project
DOI
Inductive Risk, Understanding, and Opaque Machine Learning Models
Under what conditions does machine learning (ML) model opacity inhibit the possibility of explaining and understanding phenomena? In …
Emily Sullivan
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Project
DOI
Scientific Exploration and Explainable Artificial Intelligence
Models developed using machine learning are increasingly prevalent in scientific research. At the same time, these models are …
Carlos Zednik
,
Hannes Boelsen
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Project
DOI
Solving the Black Box Problem: A Normative Framework for Explainable Artificial Intelligence
Many of the computing systems programmed using Machine Learning are
opaque
: it is difficult to know why they do what they do or how …
Carlos Zednik
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DOI
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