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

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arxiv 2108.10744 v1 pith:H4E6YUQL submitted 2021-08-24 cs.LG cs.AI

classification cs.LGcs.AI
keywords modelsdevelopmentsustainabledeep-learninggoalsinterpretableachieveartificial-intelligence
verification ladder T0 review T1 audit T2 compute T3 formal
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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.

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