Electronic Resource

XXAI - BEYOND EXPLAINABLE AI :INTERNATIONAL WORKSHOP, HELD IN CONJUNCTION WITH ICML 2020, JULY 18, 2020, VIENNA, AUSTRIA, REVISED AND EXTENDED PAPERS

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Statistical machine learning (ML) has triggered a renaissance of artificial intelligence (AI). While the most successful ML models, including Deep Neural Networks (DNN), have developed better predictivity, they have become increasingly complex, at the expense of human interpretability (correlation vs. causality). The field of explainable AI (xAI) has emerged with the goal of creating tools and models that are both predictive and interpretable and understandable for humans. Explainable AI is receiving huge interest in the machine learning and AI research communities, across academia, industry, and government, and there is now an excellent opportunity to push towards successful explainable AI applications. This volume will help the research community to accelerate this process, to promote a more systematic use of explainable AI to improve models in diverse applications, and ultimately to better understand how current explainable AI methods need to be improved and what kind of theory of explainable AI is needed. After overviews of current methods and challenges, the editors include chapters that describe new developments in explainable AI. The contributions are from leading researchers in the field, drawn from both academia and industry, and many of the chapters take a clear interdisciplinary approach to problem-solving. The concepts discussed include explainability, causability, and AI interfaces with humans, and the applications include image processing, natural language, law, fairness, and climate science.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

006.3 XXA x

Penerbit

Cham, Switzerland : Springer Cham., 2022

Deskripsi Fisik

x; 397 PG; ill.

Bahasa

English

ISBN/ISSN

9783031040832

Klasifikasi

006.3

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

MACHINE LEARNING
ARTIFICIAL INTELLIGENCE

Info Detail Spesifik

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Pernyataan Tanggungjawab

HOLZINGER, ANDREAS

Versi lain/terkait

Lampiran Berkas

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