Explainable Artificial Intelligence: Second World Conference, Xai 2024, Valletta, Malta, July 17-19, 2024, Proceedings, Part I

Longo, Luca, Lapuschkin, Sebastian, Seifert, Christin

  • 出版商: Springer
  • 出版日期: 2024-07-10
  • 售價: $3,460
  • 貴賓價: 9.5$3,287
  • 語言: 英文
  • 頁數: 494
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3031637860
  • ISBN-13: 9783031637865
  • 相關分類: 人工智慧
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

This four-volume set constitutes the refereed proceedings of the Second World Conference on Explainable Artificial Intelligence, xAI 2024, held in Valletta, Malta, during July 17-19, 2024.

The 95 full papers presented were carefully reviewed and selected from 204 submissions. The conference papers are organized in topical sections on:

Part I - intrinsically interpretable XAI and concept-based global explainability; generative explainable AI and verifiability; notion, metrics, evaluation and benchmarking for XAI.

Part II - XAI for graphs and computer vision; logic, reasoning, and rule-based explainable AI; model-agnostic and statistical methods for eXplainable AI.

Part III - counterfactual explanations and causality for eXplainable AI; fairness, trust, privacy, security, accountability and actionability in eXplainable AI.

Part IV - explainable AI in healthcare and computational neuroscience; explainable AI for improved human-computer interaction and software engineering for explainability; applications of explainable artificial intelligence.

商品描述(中文翻譯)

這四卷書籍是第二屆可解釋人工智慧世界大會(xAI 2024)的經過審核的會議論文集,會議於2024年7月17日至19日在馬爾他瓦萊塔舉行。

所呈現的95篇完整論文是從204篇投稿中精心審核和選出的。會議論文依主題分為以下幾個部分:

第一部分 - 本質上可解釋的XAI和基於概念的全球可解釋性;生成式可解釋AI和可驗證性;XAI的概念、指標、評估和基準。

第二部分 - 用於圖形和計算機視覺的XAI;邏輯、推理和基於規則的可解釋AI;模型無關和統計方法的可解釋AI。

第三部分 - 反事實解釋和可解釋AI的因果關係;可解釋AI中的公平性、信任、隱私、安全性、問責性和可行性。

第四部分 - 醫療保健和計算神經科學中的可解釋AI;改善人機互動的可解釋AI和可解釋性的軟體工程;可解釋人工智慧的應用。

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