Cognitive Fairness-Aware Techniques for Human-Machine Interface
暫譯: 認知公平性技術於人機介面之應用

Ganesan, Vithya, Indu Vadhani, S., Chowdhury, Subrata

Cognitive Fairness-Aware Techniques for Human-Machine Interface
  • 出版商: CRC
  • 出版日期: 2025-12-26
  • 售價: $7,160
  • 貴賓價: 9.5 折 $6,802
  • 語言: 英文
  • 頁數: 368
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 103276709X
  • ISBN-13: 9781032767093
  • 相關分類: Machine Learning

    • 海外代購書籍(需單獨結帳)

商品描述

This book explores the critical issue of fairness in human-machine interfaces. It delves into the integration of technology and cognitive science to develop AI systems that are unbiased, reliable, and user-friendly. The book also sheds light on emotional data processing in AI accelerators and federated learning modules. Additionally, it covers machine learning, knowledge representation, and the application of knowledge graphs to understand and optimize the behaviour of AI assistance devices.

- Explains complex issues of Cognitive Fairness Aware Contextual Proactive Federated Protocol collects data and identifies individual emotional issues and resolves them by contextual solitary proactive communication

- Discusses emotional data processing challenges through AI accelerator with federated learning module to generate periodical counselling messages

- Data analysis anomalies are addressed in Graph Data Base Modelling by anomaly prediction and anomaly detection

- Describes anomaly detection techniques in the form of abnormal data records, messages, events, groups, and/or other unexpected observations in graph database modelling

  • Explains how outlier detection for data analysis deals with the detection of patterns in Graph Database

This book is for researchers, academics, students, AI Practitioners and Developers, Ethics Experts in AI Technology and machine-learning practitioners interested in fairness in human-machine interfaces.

商品描述(中文翻譯)

這本書探討了人機介面中的公平性這一關鍵議題。它深入研究了技術與認知科學的整合，以開發無偏見、可靠且使用者友好的人工智慧系統。書中還闡明了人工智慧加速器和聯邦學習模組中的情感數據處理。此外，它涵蓋了機器學習、知識表示以及知識圖譜的應用，以理解和優化人工智慧輔助設備的行為。

- 解釋了認知公平性相關的複雜問題，Aware Contextual Proactive Federated Protocol 收集數據並識別個體的情感問題，並通過情境孤立的主動溝通來解決這些問題。

- 討論了通過人工智慧加速器和聯邦學習模組處理情感數據的挑戰，以生成定期的諮詢訊息。

- 在圖數據庫建模中，通過異常預測和異常檢測來解決數據分析異常問題。

- 描述了異常檢測技術，形式包括異常數據記錄、訊息、事件、群組和/或其他意外觀察，在圖數據庫建模中進行。

- 解釋了如何進行數據分析的離群值檢測，以識別圖數據庫中的模式。

這本書適合研究人員、學者、學生、人工智慧從業者和開發者，以及對人機介面中的公平性感興趣的人工智慧技術倫理專家和機器學習從業者。

作者簡介

Vithya Ganesan, PhD is a professor in the Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India. Currently Principal Investigator to develop a device for visually challenged people by cloud service, Deep learning and IoT. It is funded by Indian organization Directorate of Science and Technology -SERB-Core Research Grant. Dr. Vithya has received her PhD degree from Anna University, Chennai and 24+ years of teaching and research experience, and her current research interests are IoT, AI, deep learning, and data science. She has published more than 45 indexed research papers, patents and book chapters. She is a certified professional in many online certifications. She serves as a reviewer for academic publishers and as an editor for SCI, scopus and web of science journals. She has reviewed more than 150 papers for many reputed publishers and conferences. She is currently working as research guide, reviewer, editor and journal ambassador. She is keynote speaker for FDP, workshops, seminars for many institutions and organizations. Scopus ID: 57222093546, Web of Science Researcher ID AAX-7928-2021

S. Indu Vadhani currently works as senior software engineer at Meta Platforms, Inc., which is an American multinational technology company headquartered in Menlo Park, California, USA. Prior to that, she was working as a software Engineer at CISCO, San Jose, CA. Ms S. Indu Vadhani received her master's degree from University of Southern California, Los Angeles, USA. She has worked on automation of traffic monitoring, virtual machine implementation using Python, and has developed complex software modules for VMware Cloud Storage functionality in Enterprise-class SaaS (Software as a Service). She contributed to VMC on AWS (VMware Cloud on Amazon Web Services) built on a micro-services architecture using Java Spring Boot framework. She leads design/architecture review processes and participates in technical discussions with dependent teams to implement features such as Custom Storage Policy support in VM Creation. Scopus ID: 55446048400

Subrata Chowdhury is with the Sreenivasa Institute of Technology and Management Studies, Chittoor, Andhra Pradesh, India. He has edited five books in association with the CRC Press and others. He has published more than 50 articles in international and reputed journals. His research interests include data mining, big data, machine learning, quantum computing, fuzzy logic, AI, edge computing, swarm intelligence, and healthcare. He serves as a reviewer for reputed publishers and an editor for Hindawi journals. He has worked with software companies as a consultant and is the external supervisor for many PhD students. Currently, he is associated with the Study Council for Rural Development projects.

Souvik Pal, PhD is a Professor in the Department of Computer Science and Engineering at Sister Nivedita University (Techno India Group), Kolkata, India. Prior to that, he was associated with Global Institute of Management and Technology; Brainware University, Kolkata; JIS College of Engineering, Nadia; Elitte College of Engineering, Kolkata; and Nalanda Institute of Technology, Bhubaneswar, India. Dr. Pal received his MTech, and PhD degrees in the field of Computer Science and Engineering from KIIT University, Bhubaneswar, India. With more than a decade of academic experience, he is the author or co-editor of more than 15 books from reputed publishers and he holds three patents. He is serving as a Series Editor for "Advances in Learning Analytics for Intelligent Cloud-IoT Systems", "Internet of Things: Data-Centric Intelligent Computing, Informatics, and Communication", published CRC Press, Taylor & Francis Group, USA; "Conference Proceedings Series on Intelligent Systems, Data Engineering, and Optimization", published CRC Press, Taylor & Francis Group, USA; Dr. Pal has published a number of research papers in Scopus / SCI/SCIE Journals and conferences. He is the organizing chair of RICE 2019, Vietnam; RICE 2020 Vietnam; ICICIT 2019, Tunisia. He has been invited as a keynote speaker at ICICCT 2019, Turkey, and ICTIDS 2019, 2021 Malaysia. He has also served as Proceedings Editor of ICICCT 2019, 2020; ICMMCS 2020, 2021; ICWSNUCA 2021, India. His professional activities include roles as Associate Editor, Guest Editor, and Editorial Board member for more than 100+ international journals and conferences of high impact. His research area includes cloud computing, big data, internet of things, wireless sensor network, and data analytics. He is a member of many professional organizations, including MIEEE; MCSI; MCSTA/ACM, USA; MIAENG, Hong Kong; MIRED, USA; MACEEE, New Delhi; MIACSIT, Singapore; and MAASCIT, USA.

Vishnu Pendyala, PhD is a seasoned Technical Leader with over two decades of development, porting, and DevOps experience in the software industry. He received his PhD in Computer Engineering from Santa Clara University. He is a Senior Member of IEEE and has presented and published widely referenced papers for international conferences and publications. He served as a repeat technical paper reviewer for professional journals and conferences. Vishnu received the Ramanujam memorial gold medal at the State Math Olympiad and has been a successful leader during his undergrad years. He also played an active role in Computer Society of India and was the Program Secretary for its annual convention. He is IEEE Computer Society Distinguished Contributor (One of the 22 in the Class of 2022), ACM Distinguished Speaker (2019 - 2022), Senior Member, Senator, SJSU Academic Senate (2023 - date), IEEE Computer Society Election Committee Member (2024), Area 4 Coordinator (2025 - date), Chair (2022 - date), Vice Chair (2019), Secretary (2021), IEEE Computer Society, SCV Chapter Chair (2025 - date), IEEE Computational Intelligence Society, Santa Clara Valley Chapter Board of Directors, Silicon Valley Engineering Council (July 2018 - November 2019) Executive Council Member, SIGBDA, Computer Society of India (May 2016 - Current) Scopus Author ID: 55936784700

作者簡介(中文翻譯)

**Vithya Ganesan** 博士是印度安得拉邦 Vaddeswaram 的 Koneru Lakshmaiah 教育基金會計算機科學與工程系的教授。目前擔任主要研究員，開發一種針對視障人士的設備，利用雲服務、深度學習和物聯網技術。該項目由印度科學與技術部 - SERB 核心研究資助提供資金。Vithya 博士在印度金奈的安娜大學獲得博士學位，擁有超過 24 年的教學和研究經驗，目前的研究興趣包括物聯網、人工智慧、深度學習和數據科學。她已發表超過 45 篇被索引的研究論文、專利和書籍章節。她擁有多項在線認證的專業資格，並擔任學術出版商的審稿人，以及 SCI、Scopus 和 Web of Science 期刊的編輯。她已為多家知名出版商和會議審閱超過 150 篇論文。她目前擔任研究指導、審稿人、編輯和期刊大使，並在多個機構和組織的 FDP、研討會和工作坊中擔任主題演講者。Scopus ID: 57222093546，Web of Science 研究者 ID AAX-7928-2021

**S. Indu Vadhani** 目前在美國加州門洛帕克的 Meta Platforms, Inc. 擔任高級軟體工程師。此前，她在加州聖荷西的 CISCO 擔任軟體工程師。S. Indu Vadhani 女士在美國洛杉磯的南加州大學獲得碩士學位。她曾參與交通監控自動化、使用 Python 實現虛擬機，並為企業級 SaaS（軟體即服務）開發 VMware Cloud Storage 功能的複雜軟體模組。她參與了基於微服務架構的 VMC on AWS（VMware Cloud on Amazon Web Services）的建設，使用 Java Spring Boot 框架。她負責設計/架構審查流程，並參與與相關團隊的技術討論，以實現 VM 創建中的自定義存儲策略支持。Scopus ID: 55446048400

**Subrata Chowdhury** 目前在印度安得拉邦 Chittoor 的 Sreenivasa Institute of Technology and Management Studies 工作。他與 CRC Press 等出版社合作編輯了五本書，並在國際知名期刊上發表了超過 50 篇文章。他的研究興趣包括數據挖掘、大數據、機器學習、量子計算、模糊邏輯、人工智慧、邊緣計算、群體智慧和醫療保健。他擔任知名出版商的審稿人，並擔任 Hindawi 期刊的編輯。他曾作為顧問與軟體公司合作，並擔任多位博士生的外部指導老師。目前，他與農村發展項目的研究委員會有關聯。

**Souvik Pal** 博士是印度加爾各答 Sister Nivedita University（Techno India Group）計算機科學與工程系的教授。此前，他曾在 Global Institute of Management and Technology、Brainware University、JIS College of Engineering、Elitte College of Engineering 和 Nalanda Institute of Technology 等機構任職。Pal 博士在印度布巴內斯瓦爾的 KIIT 大學獲得計算機科學與工程的碩士和博士學位。擁有超過十年的學術經驗，他是超過 15 本知名出版社書籍的作者或共同編輯，並持有三項專利。他擔任《智能雲物聯網系統的學習分析進展》、《物聯網：數據中心智能計算、信息學和通信》等書籍的系列編輯，這些書籍由 CRC Press 和 Taylor & Francis Group 出版。Pal 博士在 Scopus / SCI/SCIE 期刊和會議上發表了多篇研究論文。他是 RICE 2019、RICE 2020 越南和 ICICIT 2019 突尼西亞的組織主席。他曾受邀在 ICICCT 2019 土耳其和 ICTIDS 2019、2021 馬來西亞擔任主題演講者。他還擔任 ICICCT 2019、2020；ICMMCS 2020、2021；ICWSNUCA 2021 印度的會議編輯。他的專業活動包括擔任超過 100 本高影響力國際期刊和會議的副編輯、客座編輯和編輯委員會成員。他的研究領域包括雲計算、大數據、物聯網、無線傳感器網絡和數據分析。他是多個專業組織的成員，包括 MIEEE、MCSI、MCSTA/ACM（美國）、MIAENG（香港）、MIRED（美國）、MACEEE（新德里）、MIACSIT（新加坡）和 MAASCIT（美國）。

**Vishnu Pendyala** 博士是一位經驗豐富的技術領導者，在軟體行業擁有超過二十年的開發、移植和 DevOps 經驗。他在聖克拉拉大學獲得計算機工程博士學位。作為 IEEE 的高級會員，他在國際會議和出版物上發表了廣泛引用的論文。他曾多次擔任專業期刊和會議的技術論文審稿人。Vishnu 在州數學奧林匹克中獲得 Ramanujam 紀念金獎，並在本科期間擔任成功的領導者。他還在印度計算機學會中積極參與，並擔任其年度大會的計劃秘書。他是 IEEE 計算機學會的傑出貢獻者（2022 年班級中的 22 位之一）、ACM 傑出演講者（2019 - 2022）、高級會員、參議員、SJSU 學術參議會成員（2023 - 現在）、IEEE 計算機學會選舉委員會成員（2024）、區域 4 協調員（2025 - 現在）、主席（2022 - 現在）、副主席（2019）、秘書（2021）、IEEE 計算機學會 SCV 分會主席（2025 - 現在）、IEEE 計算智能學會聖克拉拉谷分會董事會成員、矽谷工程委員會（2018 年 7 月 - 2019 年 11 月）執行委員會成員、SIGBDA、印度計算機學會（2016 年 5 月 - 現在）。Scopus 作者 ID: 55936784700

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