000			02382nam a22002657a 4500
999			_c2633 _d2633
005			20220813104644.0
008			220716b ||||| |||| 00| 0 eng d
020			_a9783030289539
082			_a006.3 _bSAM
100			_aSamek, Wojciech _97603
245			_aExplainable AI: interpreting, explaining and visualizing deep learning
260			_bSpringer _aSwitzerland _c2019
300			_axi, 438 p.
365			_aEURO _b79.99
520			_aAbout this book The development of “intelligent” systems that can take decisions and perform autonomously might lead to faster and more consistent decisions. A limiting factor for a broader adoption of AI technology is the inherent risks that come with giving up human control and oversight to “intelligent” machines. Forsensitive tasks involving critical infrastructures and affecting human well-being or health, it is crucial to limit the possibility of improper, non-robust and unsafe decisions and actions. Before deploying an AI system, we see a strong need to validate its behavior, and thus establish guarantees that it will continue to perform as expected when deployed in a real-world environment. In pursuit of that objective, ways for humans to verify the agreement between the AI decision structure and their own ground-truth knowledge have been explored. Explainable AI (XAI) has developed as a subfield of AI, focused on exposing complex AI models to humans in a systematic and interpretable manner. The 22 chapters included in this book provide a timely snapshot of algorithms, theory, and applications of interpretable and explainable AI and AI techniques that have been proposed recently reflecting the current discourse in this field and providing directions of future development. The book is organized in six parts: towards AI transparency; methods for interpreting AI systems; explaining the decisions of AI systems; evaluating interpretability and explanations; applications of explainable AI; and software for explainable AI.
650			_aArtificial intelligence _91478
650			_aNeural networks (Computer science) _92344
650			_aComputer security _95823
650			_aOptical data processing _98380
650			_aComputer organization _98381
650			_aComputer network architectures _98382
700			_aMontavon, Gregoire _97604
700			_aVedaldi, Andrea _97605
942			_2ddc _cBK