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interpretable deep-learning model

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Interpretable deep-learning models to help achieve the Sustainable Development Goals

Vinuesa, Ricardo, Sirmacek, Beril

arXiv.org Artificial IntelligenceAug-24-2021

We discuss our insights into interpretable artificial-intelligence (AI) models, and how they are essential in the context of developing ethical AI systems, as well as data-driven solutions compliant with the Sustainable Development Goals (SDGs). We highlight the potential of extracting truly-interpretable models from deep-learning methods, for instance via symbolic models obtained through inductive biases, to ensure a sustainable development of AI.

interpretable deep-learning model, sustainable development goal

arXiv.org Artificial Intelligence

2108.10744

Genre: Research Report (0.40)

Industry: Social Sector (0.80)

Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (1.00)

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