AI

For a Contextual Approach to AI Explainability

Explainability has become a fundamental principle of AI ethics. As well as sparking debates and presenting technical challenges, the application of this principle is not self-evident as it depends on the context in which a given AI system is being used.
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Machine learning shows fresh potential in urban renewal

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Optimal Mobile Coverage with Data and AI

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The Trust System Cybersecurity Challenge: Protection without Impacting User Experience

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Limiting the Carbon Footprint of AI

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AI system for use in nursing homes alerts caregivers when it detects sounds of abnormal activity in rooms

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Machine-Learning-Based Early Decision-Making (ML-EDM)

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