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

**Authors:** Ricardo Vinuesa, Beril Sirmacek  
**arXiv:** [2108.10744](https://arxiv.org/abs/2108.10744)  
**Date:** 2021-08-24  
**Summary page:** https://www.summarizepaper.com/fr/paper/2108.10744v1/

## Abstract

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.