04878nam a22005775i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001300172050001400185072001600199072002300215072001500238100008500253245008400338250001800422264006900440300006400509336002600573337002600599338003600625347002400661490005500685505023300740520251100973650003603484650005903520650002203579650002903601650004703630650003903677650002603716650003603742650004603778650002903824650002903853650005903882650005103941710003403992773002604026776003604052776003604088776003604124830006204160856004604222912001504268999001704283978-3-031-69974-0DE-He21320251030114629.0cr nn 008mamaa241220s2024    sz |    s    |||| 0|eng d  a97830316997409978-3-031-69974-07 a10.1007/978-3-031-69974-02doi 4aQ334-342 4aTA347.A78 7aUYQ2bicssc 7aCOM0040002bisacsh 7aUYQ2thema1 aIlievski, Filip.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut98923610aHuman-Centric AI with Common Senseh[electronic resource] /cby Filip Ilievski.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aXV, 137 p. 30 illus., 27 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aSynthesis Lectures on Computer Science,x1932-16860 aIntroduction -- Collaborative Commonsense Reasoning -- Adaptive Commonsense Reasoning -- Responsible Commonsense Reasoning -- Explainable Commonsense Reasoning -- Hybrid Intelligence with Common Sense -- Conclusions and Outlook.  aThis 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 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. What makes commonsense reasoning such a unique and impactful challenge? What can we learn from cognitive research when designing and developing AI systems? How can we approach building responsible, robust, collaborative, and explainable AI with common sense? And finally, what is the impact of this work on human-AI teaming? This book provides an accessible introduction and exploration of these topics. In addition, this book: Features cognitive, symbolic, and neural theories and methods for commonsense reasoning Integrates neural and symbolic methods for open-domain tasks built on robustness, adaptivity, collaboration, and responsibility principles Synthesizes lessons learned and provides open challenges that future research and engineering efforts need to tackle About the Author Filip Ilievski, Ph.D., is a Senior Assistant Professor of Commonsense AI at the Vrije Universiteit (VU) Amsterdam’s Computer Science department. Dr. Ilievski is an affiliated scientist at the USC Information Sciences Institute (ISI), where he was previously a Research Lead and played a key role in a team within the DARPA Machine Common Sense (MCS) program. Dr. Ilievski holds a Ph.D. in Natural Language Processing. His research focuses on developing robust and explainable neuro-symbolic technology with positive real-world impact, based on neural methods and high-quality knowledge. Dr. Ilievski has also made extensive contributions in identifying long-tail entities in text, interpretation of internet memes, and enabling access to large-scale knowledge resources. 0aArtificial intelligence.958441 0aNatural language processing (Computer science).965131 0aReasoning.976426 0aComputer science.958552 0aUser interfaces (Computer systems).964688 0aHuman-computer interaction.964854 0aApplication software.14aArtificial Intelligence.95844124aNatural Language Processing (NLP).96616424aFormal Reasoning.97729924aComputer Science.95855224aUser Interfaces and Human Computer Interaction.96657724aComputer and Information Systems Applications.2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303169973308iPrinted edition:z978303169975708iPrinted edition:z9783031699764 0aSynthesis Lectures on Computer Science,x1932-168696552040uhttps://doi.org/10.1007/978-3-031-69974-0  aZDB-2-SXSC  c65875d65875