For a rather complete view of what deep learning still does not do, I recommend the work of Gary Marcus and Ernest Davis. While seeming solely critical, I thin

For a rather complete view of what deep learning still does not do, I recommend the work of Gary Marcus and Ernest Davis. While seeming solely critical, I think they make very good points about the limits inherent in deep learning as we know it now, and how it needs to grow to overcome those deficits. "Rebooting AI" https://www.penguinrandomhouse.com/books/603982/rebooting-ai-by-gary-marcus-and-ernest-davis/ https://www.penguinrandomhouse.com/books/603982/rebooting-ai... And a few articles, for audiences both popular and technical: Deep Learning: A Critical Appraisal https://arxiv.org/abs/1801.00631 https://arxiv.org/abs/1801.00631 The Next Decade in AI https://arxiv.org/pdf/2002.06177.pdf https://arxiv.org/pdf/2002.06177.pdf How to Build AI We Can Trust https://www.nytimes.com/2019/09/06/opinion/ai-explainability.html https://www.nytimes.com/2019/09/06/opinion/ai-explainability... And a HBR podcast ("Beyond Deep Learning") https://hbr.org/podcast/2019/10/beyond-deep-learning-with-gary-marcus https://hbr.org/podcast/2019/10/beyond-deep-learning-with-ga...