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|Abstract=Artificial Intelligence has become the defining technology of our time. Impressive and effective though it may be, it often defies our understanding, and hence our control. Nevertheless, today’s main concern is not that AI might become too smart - it is far from it - but that it often surprises us by being dangerously dumb, prejudiced, credulous, or unreliable. Fortunately, AI is an extremely rich research area, which keeps developing in many different directions that outline ways of constructing intelligent systems that can be understood, validated, and controlled. This is the promise of ongoing works towards Explainable AI. The 15th Reasoning Web Summer School, whose lecture notes are compiled in this volume, covered a variety of ideas that are being developed in this research. Topics ranged from explainable forms of machine learning, over data mining, knowledge representation, and query answering, to the explanation of complex software systems using formal methods. | |Abstract=Artificial Intelligence has become the defining technology of our time. Impressive and effective though it may be, it often defies our understanding, and hence our control. Nevertheless, today’s main concern is not that AI might become too smart - it is far from it - but that it often surprises us by being dangerously dumb, prejudiced, credulous, or unreliable. Fortunately, AI is an extremely rich research area, which keeps developing in many different directions that outline ways of constructing intelligent systems that can be understood, validated, and controlled. This is the promise of ongoing works towards Explainable AI. The 15th Reasoning Web Summer School, whose lecture notes are compiled in this volume, covered a variety of ideas that are being developed in this research. Topics ranged from explainable forms of machine learning, over data mining, knowledge representation, and query answering, to the explanation of complex software systems using formal methods. | ||
|ISBN=978-3-030-31422-4 | |ISBN=978-3-030-31422-4 | ||
Version vom 27. September 2019, 16:25 Uhr
Explainable Artificial Intelligence. Proceedings of the 15th Reasoning Web Summer School (RW 2019)
Markus KrötzschMarkus Krötzsch, Daria StepanovaDaria Stepanova
Markus Krötzsch, Daria Stepanova
Explainable Artificial Intelligence. Proceedings of the 15th Reasoning Web Summer School (RW 2019)
Volume 11810 of LNCS, 2019. Springer
Explainable Artificial Intelligence. Proceedings of the 15th Reasoning Web Summer School (RW 2019)
Volume 11810 of LNCS, 2019. Springer
- KurzfassungAbstract
Artificial Intelligence has become the defining technology of our time. Impressive and effective though it may be, it often defies our understanding, and hence our control. Nevertheless, today’s main concern is not that AI might become too smart - it is far from it - but that it often surprises us by being dangerously dumb, prejudiced, credulous, or unreliable. Fortunately, AI is an extremely rich research area, which keeps developing in many different directions that outline ways of constructing intelligent systems that can be understood, validated, and controlled. This is the promise of ongoing works towards Explainable AI. The 15th Reasoning Web Summer School, whose lecture notes are compiled in this volume, covered a variety of ideas that are being developed in this research. Topics ranged from explainable forms of machine learning, over data mining, knowledge representation, and query answering, to the explanation of complex software systems using formal methods. - Projekt:Project: CPEC
- Forschungsgruppe:Research Group: Wissensbasierte SystemeKnowledge-Based Systems
@proceedings{KS2019,
author = {Markus Kr{\"{o}}tzsch and Daria Stepanova},
title = {Explainable Artificial Intelligence. Proceedings of the 15th
Reasoning Web Summer School (RW 2019)},
series = {LNCS},
volume = {11810},
publisher = {Springer},
year = {2019},
doi = {10.1007/978-3-030-31423-1}
}
