Ethical Artificial Intelligence in the Insurance Industry: Balancing Efficiency, Fairness, and Risk
暫譯: 保險業中的倫理人工智慧：平衡效率、公平與風險
Shafik, Wasswa
- 出版商: CRC
- 出版日期: 2026-07-14
- 售價: $4,680
- 貴賓價: 9.5 折 $4,446
- 語言: 英文
- 頁數: 298
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1041236883
- ISBN-13: 9781041236887
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相關分類:
Machine Learning
尚未上市，無法訂購
相關主題
商品描述
The book provides an overview of the challenges and opportunities presented by AI across the insurance value chain. As insurers rapidly integrate machine learning, deep learning, and predictive analytics into underwriting, claims processing, fraud detection, and pricing, the need for robust ethical frameworks and responsible AI governance has become paramount. Algorithmic structures and data pipelines that shape modern insurance systems, that review potential sources of bias, opacity, and inequality are examined. The book addresses technical, legal, and organizational dimensions of ethical AI adoption--ranging from explainability and accountability mechanisms to data privacy, informed consent, and inclusion. The book serves as a foundational guide for developing AI systems in insurance that are not only efficient but also equitable and socially responsible. The book will be invaluable for professionals, scholars, data scientists, actuaries, and policymakers.
Key Features:
- Explores cutting-edge applications of AI across underwriting, claims processing, fraud detection, and dynamic pricing in the insurance industry.
- Reviews the latest advances in algorithmic fairness, explainability (XAI), and bias mitigation techniques tailored to insurance models.
- Analyzes global regulatory and ethical frameworks, including GDPR, AI Act, and sector-specific policies, shaping responsible AI adoption.
- Provides real-world case studies and technical insights into building accountable, transparent, and inclusive AI systems for insurers.
- Equips practitioners, data scientists, and policymakers with strategic tools to design, govern, and audit ethical AI in insurance operations.
商品描述(中文翻譯)
本書概述了人工智慧在保險價值鏈中所帶來的挑戰與機遇。隨著保險公司迅速將機器學習、深度學習和預測分析整合到承保、理賠處理、詐騙檢測和定價中，建立健全的倫理框架和負責任的人工智慧治理變得至關重要。本書檢視了塑造現代保險系統的演算法結構和數據管道，並審視潛在的偏見、不透明性和不平等來源。本書探討了倫理人工智慧採用的技術、法律和組織層面，涵蓋了解釋性和問責機制、數據隱私、知情同意和包容性等議題。本書作為開發高效且公平、社會負責任的保險人工智慧系統的基礎指南，對專業人士、學者、數據科學家、精算師和政策制定者將具有重要價值。
**主要特色：**
- 探索人工智慧在保險行業中承保、理賠處理、詐騙檢測和動態定價的前沿應用。
- 回顧針對保險模型的演算法公平性、可解釋性（XAI）和偏見緩解技術的最新進展。
- 分析全球的監管和倫理框架，包括GDPR、人工智慧法案及行業特定政策，塑造負責任的人工智慧採用。
- 提供真實案例研究和技術見解，幫助保險公司建立負責任、透明和包容的人工智慧系統。
- 為從業者、數據科學家和政策制定者提供設計、治理和審計保險業務中倫理人工智慧的策略工具。
作者簡介
Wasswa Shafik (member, IEEE) is a computer scientist, an information technologist and educator, and a research director at the Dig Connectivity Research Laboratory (DCRLab), Kampala, Uganda. He received his Bachelor in Information Technology at Ndejje University, Luweero, Uganda, and his Master in Information Technology Engineering (Communication and Computer Networks Option) at Yazd University, Yazd, Islamic Republic of Iran. He further pursued his PhD in Digital Science (Computer Science) at the School of Digital Science, Universiti Brunei Darussalam, Brunei Darussalam. His research broadly examines, integrates, and focuses on developing computationally and statistically efficient models and algorithms to address complex questions in artificial intelligence and machine learning problems for a sustainable future. His specific research interests include applied artificial intelligence, smart agriculture, computer vision, ecological informatics, digital health and education, and sustainable computing. He has authored, edited, co-edited, and published hundreds of peer-reviewed books, technical papers, book sections, and numerous IEEE International Conferences and prestigious international journals. He has served as a reviewer of several international journals, Scopus, Compendex (Elsevier Engineering Index), and WoS international journals. He further served in different capacities as department support for mathematics for data science, advanced topics in computing, advanced algorithms, and system performance and evaluation. Prior to this, as a department fellow, he served as a researcher associate at the Intelligent Network Laboratory in Iran. He served in different capacities as a community data officer at the Programme for Accessible Health, Communication and Education, as a research associate and data manager at Population Services International, as a data manager and research assistant at the Socio-Economic Data Center, as a research lead at TechnoServe and as a Ag. chief executive officer at Asmaah Charity Organisation.
作者簡介(中文翻譯)
Wasswa Shafik（IEEE 會員）是一位計算機科學家、資訊技術專家和教育工作者，並且是烏干達坎帕拉的數位連接研究實驗室（DCRLab）的研究主任。他在烏干達盧維羅的Ndejje大學獲得資訊技術學士學位，並在伊朗亞茲德大學獲得資訊技術工程碩士學位（通訊與計算機網路選項）。他進一步在汶萊達魯薩蘭大學的數位科學學院攻讀數位科學（計算機科學）博士學位。他的研究廣泛檢視、整合並專注於開發計算上和統計上高效的模型和演算法，以解決人工智慧和機器學習問題中的複雜問題，為可持續的未來提供解決方案。他的具體研究興趣包括應用人工智慧、智慧農業、計算機視覺、生態資訊學、數位健康與教育以及可持續計算。他已經撰寫、編輯、共同編輯並出版了數百本經過同行評審的書籍、技術論文、書籍章節，以及眾多IEEE國際會議和著名國際期刊的文章。他曾擔任多個國際期刊、Scopus、Compendex（Elsevier工程索引）和WoS國際期刊的審稿人。他還在數據科學的數學部門支持、高級計算主題、高級演算法以及系統性能與評估等不同職位上服務。在此之前，作為部門研究員，他在伊朗的智能網絡實驗室擔任研究助理。他還在可及健康、通訊和教育計劃中擔任社區數據官員，在國際人口服務組織擔任研究助理和數據經理，在社會經濟數據中心擔任數據經理和研究助理，在TechnoServe擔任研究負責人，以及在Asmaah慈善組織擔任代理首席執行官。
