📮 Human-Centric AI with Common Sense by Filip Ilievski (.ePUB)+

This book enables readers to understand the challenges and opportunities of developing human-centered AI with commonsense reasoning abilities. Despite apparent accuracy improvements brought by large neural models across task benchmarks, common sense is still lacking. The lack of common sense affects many tasks, including story understanding, decision-making, and question answering. Commonsense knowledge and reasoning have long been considered the “black matter” of Artificial Intelligence (AI), raising concerns about the trustworthiness and applicability of AI methods in both autonomous and hybrid applications. This book describes how to design a more robust, collaborative, explainable, and responsible AI through incorporating neuro-symbolic commonsense reasoning. In addition, the book provides examples of how these properties of AI can facilitate a wide range of social-good applications in digital democracy, traffic monitoring, education, and robotics. This book has several unique features that I hope will be informative and inspiring to advanced students, researchers, and practitioners in a variety of areas within Computer Science. It has a broad coverage of neural and symbolic methods for commonsense reasoning, connecting key insights from Machine Learning, natural language processing (NLP), and neuro-symbolic AI.

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