عنوان

xxAI -- beyond explainable AI

(Number (ISBN

9783031040825

(Number (ISBN

9783031040832

Number

E4250

.Language of Text, Soundtrack etc

انگلیسی

Title Proper

xxAI -- beyond explainable AI

General Material Designation

[Electronic book]

Other Title Information

: International Workshop, held in conjunction with ICML 2020, July 18, 2020, Vienna, Austria, Revised and extended papers

First Statement of Responsibility

/ Andreas Holzinger...[et. al.], ed.

Edition Statement

Cham, Switzerland

Statement of Responsibility Relating to Edition

: Springer

Subsequent Statement of Responsibility

, 2022.

Specific Material Designation and Extent of Item

x, 397 p.

Other Physical Details

: ill. (some color)

Series Title

(Lecture notes in computer science

Other Title Information

. Subseries of Lecture Notes in Computer Science)

Volume Designation

; 13200

Text of Note

Includes index.

Text of Note

Editorial -- xxAI - Beyond explainable Artificial Intelligence -- Current Methods and Challenges -- Explainable AI Methods - A Brief Overview -- Challenges in Deploying Explainable Machine Learning -- Methods for Machine Learning Models -- CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations -- New Developments in Explainable AI -- A Rate-Distortion Framework for Explaining Black-box Model Decisions -- Explaining the Predictions of Unsupervised Learning Models -- Towards Causal Algorithmic Recourse -- Interpreting Generative Adversarial Networks for Interactive Image Generation -- XAI and Strategy Extraction via Reward Redistribution -- Interpretable, Verifiable, and Robust Reinforcement Learning via Program Synthesis -- Interpreting and improving deep-learning models with reality checks -- Beyond the Visual Analysis of Deep Model Saliency -- ECQ̂2: Quantization for Low-Bit and Sparse DNNs -- A whale's tail - Finding the right whale in an uncertain world -- Explainable Artificial Intelligence in Meteorology and Climate Science: Model fine-tuning, calibrating trust and learning new science -- An Interdisciplinary Approach to Explainable AI.-Varieties of AI Explanations under the Law - From the GDPR to the AIA, and beyond -- Towards Explainability for AI Fairness -- Logic and Pragmatics in AI Explanation

0

Text of Note

This is an open access book. 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

Entry Element

Artificial intelligence

Form Subdivision

-- Congresses

a04

Machine learning -- Statistical methods -- Congresses.

Class number

Holzinger, Andreas, editor.

International Conference on Machine Learning (2020 : Vienna, Austria)

Country

Iran

Agency

University of Tehran. Library of College of Science

Date and Hour of Consultation and Access

UT_SCI_BL_DB_1004679_0001.pdf

e

BL

278840

1

a

Y