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The Explainability Of Experience
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Book Synopsis The Explainability of Experience by : Ursula Renz
Download or read book The Explainability of Experience written by Ursula Renz and published by Oxford University Press. This book was released on 2018-07-02 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reconstructs Spinoza's theory of the human mind against the backdrop of the twofold notion that subjective experience is explainable and that its successful explanation is of ethical relevance, because it makes us wiser, freer, and happier. Doing so, the book defends a realist rationalist interpretation of Spinoza's approach which does not entail commitment to an ontological reduction of subjective experience to mere intelligibility. In contrast to a long-standing tradition of Hegelian reading of Spinoza's Ethics, it thus defends the notion that the experience of finite subjects is fully real.
Book Synopsis The Explainability of Experience by : Ursula Renz
Download or read book The Explainability of Experience written by Ursula Renz and published by Oxford University Press. This book was released on 2018 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reconstructs Spinoza's theory of the human mind against the backdrop of the twofold notion that subjective experience is explainable and that its successful explanation is of ethical relevance, because it makes us wiser, freer, and happier. Doing so, the book defends a realist rationalist interpretation of Spinoza's approach which does not entail commitment to an ontological reduction of subjective experience to mere intelligibility. In contrast to a long-standing tradition of Hegelian reading of Spinoza's Ethics, it thus defends the notion that the experience of finite subjects is fully real.
Book Synopsis Explainable AI and User Experience. Prototyping and Evaluating an UX-Optimized XAI Interface in Computer Vision by : Georg Dedikov
Download or read book Explainable AI and User Experience. Prototyping and Evaluating an UX-Optimized XAI Interface in Computer Vision written by Georg Dedikov and published by GRIN Verlag. This book was released on 2023-05-16 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master's Thesis from the year 2023 in the subject Computer Science - SEO, Search Engine Optimization, grade: 1,0, University of Regensburg (Professur für Wirtschaftsinformatik, insb. Internet Business & Digitale Soziale Medien), language: English, abstract: This thesis presents a toolkit of 17 user experience (UX) principles, which are categorized according to their relevance towards Explainable AI (XAI). The goal of Explainable AI has been widely associated in literature with dimensions of comprehensibility, usefulness, trust, and acceptance. Moreover, authors in academia postulate that research should rather focus on the development of holistic explanation interfaces instead of single visual explanations. Consequently, the focus of XAI research should be more on potential users and their needs, rather than purely technical aspects of XAI methods. Considering these three impediments, the author of this thesis derives the assumption to bring valuable insights from the research area of User Interface (UI) and User Experience design into XAI research. Basically, UX is concerned with the design and evaluation of pragmatic and hedonic aspects of a user’s interaction with a system in some context. These principles are taken into account in the subsequent prototyping of a custom XAI system called Brain Tumor Assistant (BTA). Here, a pre-trained EfficientNetB0 is used as a Convolutional Neural Network that can divide x-ray images of a human brain into four classes with an overall accuracy of 98%. To generate factual explanations, Local Interpretable Model-agnostic Explanations are subsequently applied as an XAI method. The following evaluation of the BTA is based on the so-called User Experience Questionnaire (UEQ) according to Laugwitz et al. (2008), whereby single items of the questionnaire are adapted to the specific context of XAI. Quantitative data from a study with 50 participants in each control and treatment group is used to present a standardized way of quantifying the dimensions of Usability and UX specifically for XAI systems. Furthermore, through an A/B test, evidence is presented that visual explanations have a significant (α=0.05) positive effect on the dimensions of attractiveness, usefulness, controllability, and trustworthiness. In summary, this thesis proves that explanations in computer vision not only have a significantly positive effect on trustworthiness, but also on other dimensions.
Book Synopsis Social Computing and Social Media: Design, User Experience and Impact by : Gabriele Meiselwitz
Download or read book Social Computing and Social Media: Design, User Experience and Impact written by Gabriele Meiselwitz and published by Springer Nature. This book was released on 2022-06-16 with total page 694 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set LNCS 13315 and 13316 constitutes the refereed proceedings of the 14th International Conference on Social Computing and Social Media, SCSM 2022, held as part of the 24rd International Conference, HCI International 2022, which took place in June-July 2022. Due to COVID-19 pandemic the conference was held virtually. The total of 1276 papers and 275 posters included in the 40 HCII 2022 proceedings volumes was carefully reviewed and selected from 5583 submissions. The papers of SCSM 2022, Part I, are organized in topical sections named: design and user experience in social media and social live streaming; text analysis and AI in social media; social media impact on society and business.
Book Synopsis Research Challenges in Information Science by : Fabiano Dalpiaz
Download or read book Research Challenges in Information Science written by Fabiano Dalpiaz and published by Springer Nature. This book was released on 2020-06-24 with total page 659 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 14th International Conference on Research Challenges in Information Sciences, RCIS 2020, held in Limassol, Cyprus, during September 23-25, 2020. The conference was originally scheduled for May 2020, but the organizing committee was forced to postpone the conference due to the outbreak of the COVID-19 pandemic. The scope of RCIS 2020 is summarized by the thematic areas of information systems and their engineering; user-oriented approaches; data and information management; business process management; domain-specific information systems engineering; data science; information infrastructures, and reflective research and practice. The 26 full papers and 3 work in progress papers presented in this volume were carefully reviewed and selected from 106 submissions. They were organized in topical sections named: Data Analytics and Business Intelligence; Digital Enterprise and Technologies; Human Factors in Information Systems; Information Systems Development and Testing; Machine Learning and Text Processing; and Security and Privacy. The volume also contains 12 poster and demo-papers, and 4 Doctoral Consortium papers.
Book Synopsis Case-Based Reasoning Research and Development by : Juan A. Recio-Garcia
Download or read book Case-Based Reasoning Research and Development written by Juan A. Recio-Garcia and published by Springer Nature. This book was released on with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Skepsis and Antipolitics: The Alternative of Gustav Landauer by :
Download or read book Skepsis and Antipolitics: The Alternative of Gustav Landauer written by and published by BRILL. This book was released on 2022-12-12 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: One century after Gustav Landauer’s death, in a time marked by a deep doubt concerning modern politics, the volume proposes a fascinating overview of the articulation between skepsis and antipolitics in his multifaceted unconventional anarchism.
Book Synopsis A System Architecture Approach to the Brain by : L. Andrew Coward
Download or read book A System Architecture Approach to the Brain written by L. Andrew Coward and published by Nova Publishers. This book was released on 2005 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the integrated presentation of a large body of work on understanding the operation of biological brains as systems. The work has been carried out by the author over the last 22 years, and leads to a claim that it is relatively straightforward to understand how human cognition results from and is supported by physiological processes in the brain. This claim has roots in the technology for designing and manufacturing electronic systems which manage extremely complex telecommunications networks with high reliability, in real time and with no human intervention. Such systems perform very large numbers of interacting control features. Although there is little direct resemblance between such systems and biological brains, the ways in which these practical considerations force system architectures within some specific bounds leads to an understanding of how different but analogous practical considerations constrain the architectures of brains within different bounds called the Recommendation Architecture. These architectural bounds make it possible to relate cognitive phenomena to physiological processes.
Book Synopsis Interpretable Machine Learning by : Christoph Molnar
Download or read book Interpretable Machine Learning written by Christoph Molnar and published by Lulu.com. This book was released on 2020 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.
Book Synopsis Data Mining and Big Data by : Ying Tan
Download or read book Data Mining and Big Data written by Ying Tan and published by Springer. This book was released on 2018-06-09 with total page 792 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Conference on Data Mining and Big Data, DMBD 2018, held in Shanghai, China, in June 2018. The 74 papers presented in this volume were carefully reviewed and selected from 126 submissions. They are organized in topical sections named: database, data preprocessing, matrix factorization, data analysis, visualization, visibility analysis, clustering, prediction, classification, pattern discovery, text mining and knowledge management, recommendation system in social media, deep learning, big data, Industry 4.0, practical applications
Book Synopsis Intelligent Computing by : Kohei Arai
Download or read book Intelligent Computing written by Kohei Arai and published by Springer Nature. This book was released on 2023-10-02 with total page 1492 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of insightful and unique state-of the-art papers presented at the Computing Conference which took place in London on June 22–23, 2023. A total of 539 papers were received out of which 193 were selected for presenting after double-blind peer-review. The book covers a wide range of scientific topics including IoT, Artificial Intelligence, Computing, Data Science, Networking, Data security and Privacy, etc. The conference was successful in reaping the advantages of both online and offline modes. The goal of this conference is to give a platform to researchers with fundamental contributions and to be a premier venue for academic and industry practitioners to share new ideas and development experiences. We hope that readers find this book interesting and valuable. We also expect that the conference and its publications will be a trigger for further related research and technology improvements in this important subject.
Book Synopsis Explainable and Transparent AI and Multi-Agent Systems by : Davide Calvaresi
Download or read book Explainable and Transparent AI and Multi-Agent Systems written by Davide Calvaresi and published by Springer Nature. This book was released on 2021-07-16 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the Third International Workshop on Explainable, Transparent AI and Multi-Agent Systems, EXTRAAMAS 2021, which was held virtually due to the COVID-19 pandemic. The 19 long revised papers and 1 short contribution were carefully selected from 32 submissions. The papers are organized in the following topical sections: XAI & machine learning; XAI vision, understanding, deployment and evaluation; XAI applications; XAI logic and argumentation; decentralized and heterogeneous XAI.
Book Synopsis Process, Action, and Experience by : Rowland Stout
Download or read book Process, Action, and Experience written by Rowland Stout and published by Oxford University Press. This book was released on 2018 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: Process, Action, and Experience offers a radical new approach to the philosophy of mind and action, taking processes to be the central subject matter. An international team of contributors consider what kinds of things processes are, and explore the progressive nature of action and conscious experience.
Book Synopsis Artificial Intelligence in HCI by : Helmut Degen
Download or read book Artificial Intelligence in HCI written by Helmut Degen and published by Springer Nature. This book was released on with total page 491 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Explainable AI with Python by : Leonida Gianfagna
Download or read book Explainable AI with Python written by Leonida Gianfagna and published by Springer Nature. This book was released on 2021-04-28 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a full presentation of the current concepts and available techniques to make “machine learning” systems more explainable. The approaches presented can be applied to almost all the current “machine learning” models: linear and logistic regression, deep learning neural networks, natural language processing and image recognition, among the others. Progress in Machine Learning is increasing the use of artificial agents to perform critical tasks previously handled by humans (healthcare, legal and finance, among others). While the principles that guide the design of these agents are understood, most of the current deep-learning models are "opaque" to human understanding. Explainable AI with Python fills the current gap in literature on this emerging topic by taking both a theoretical and a practical perspective, making the reader quickly capable of working with tools and code for Explainable AI. Beginning with examples of what Explainable AI (XAI) is and why it is needed in the field, the book details different approaches to XAI depending on specific context and need. Hands-on work on interpretable models with specific examples leveraging Python are then presented, showing how intrinsic interpretable models can be interpreted and how to produce “human understandable” explanations. Model-agnostic methods for XAI are shown to produce explanations without relying on ML models internals that are “opaque.” Using examples from Computer Vision, the authors then look at explainable models for Deep Learning and prospective methods for the future. Taking a practical perspective, the authors demonstrate how to effectively use ML and XAI in science. The final chapter explains Adversarial Machine Learning and how to do XAI with adversarial examples.
Book Synopsis Explainable, Interpretable, and Transparent AI Systems by : B. K. Tripathy
Download or read book Explainable, Interpretable, and Transparent AI Systems written by B. K. Tripathy and published by CRC Press. This book was released on 2024-08-23 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: Transparent Artificial Intelligence (AI) systems facilitate understanding of the decision-making process and provide opportunities in various aspects of explaining AI models. This book provides up-to-date information on the latest advancements in the field of explainable AI, which is a critical requirement of AI, Machine Learning (ML), and Deep Learning (DL) models. It provides examples, case studies, latest techniques, and applications from domains such as healthcare, finance, and network security. It also covers open-source interpretable tool kits so that practitioners can use them in their domains. Features: Presents a clear focus on the application of explainable AI systems while tackling important issues of “interpretability” and “transparency”. Reviews adept handling with respect to existing software and evaluation issues of interpretability. Provides insights into simple interpretable models such as decision trees, decision rules, and linear regression. Focuses on interpreting black box models like feature importance and accumulated local effects. Discusses capabilities of explainability and interpretability. This book is aimed at graduate students and professionals in computer engineering and networking communications.
Book Synopsis Towards Ethical and Socially Responsible Explainable AI by : Mohammad Amir Khusru Akhtar
Download or read book Towards Ethical and Socially Responsible Explainable AI written by Mohammad Amir Khusru Akhtar and published by Springer Nature. This book was released on with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt:
