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Artificial Intelligence And Evaluation
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Book Synopsis The Measure of All Minds by : José Hernández-Orallo
Download or read book The Measure of All Minds written by José Hernández-Orallo and published by Cambridge University Press. This book was released on 2017-01-11 with total page 632 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are psychometric tests valid for a new reality of artificial intelligence systems, technology-enhanced humans, and hybrids yet to come? Are the Turing Test, the ubiquitous CAPTCHAs, and the various animal cognition tests the best alternatives? In this fascinating and provocative book, José Hernández-Orallo formulates major scientific questions, integrates the most significant research developments, and offers a vision of the universal evaluation of cognition. By replacing the dominant anthropocentric stance with a universal perspective where living organisms are considered as a special case, long-standing questions in the evaluation of behavior can be addressed in a wider landscape. Can we derive task difficulty intrinsically? Is a universal g factor - a common general component for all abilities - theoretically possible? Using algorithmic information theory as a foundation, the book elaborates on the evaluation of perceptual, developmental, social, verbal and collective features and critically analyzes what the future of intelligence might look like.
Book Synopsis Artificial Intelligence and Evaluation by : Steffen Bohni Nielsen
Download or read book Artificial Intelligence and Evaluation written by Steffen Bohni Nielsen and published by Taylor & Francis. This book was released on 2024-09-25 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence and Evaluation: Emerging Technologies and Their Implications for Evaluation is a groundbreaking exploration of how the landscape of program evaluation will be redefined by artificial intelligence and other emerging digital technologies. In an era where digital technologies and artificial intelligence (AI) are rapidly evolving, this book presents a pivotal resource for evaluators navigating the transformative intersection of their practice and cutting-edge technology. Addressing the dual dimensions of how evaluations are conducted and what is evaluated, a roster of distinguished contributors illuminate the impact of AI on program evaluation methodologies. Offering a discerning overview of various digital technologies, their promises and perils, they carefully dissect the implications for evaluative processes and debate how evaluators must be equipped with the requisite skills to harness the full potential of AI tools. Further, the book includes a number of compelling use cases, demonstrating the tangible applications of AI in diverse evaluation scenarios. The use cases range from the application of GIS data to advanced text analytics. As such, this book provides evaluators with inspirational cases on how to apply AI in their practice as well as what pitfalls one must look out for. Artificial Intelligence and Evaluation is an indispensable guide for evaluators seeking to not only adapt to but thrive in the dynamic landscape of evaluation practices reshaped by the advent of artificial intelligence.
Book Synopsis Application of Artificial Intelligence to Assessment by : Hong Jiao
Download or read book Application of Artificial Intelligence to Assessment written by Hong Jiao and published by IAP. This book was released on 2020-03-01 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: The general theme of this book is to present the applications of artificial intelligence (AI) in test development. In particular, this book includes research and successful examples of using AI technology in automated item generation, automated test assembly, automated scoring, and computerized adaptive testing. By utilizing artificial intelligence, the efficiency of item development, test form construction, test delivery, and scoring could be dramatically increased. Chapters on automated item generation offer different perspectives related to generating a large number of items with controlled psychometric properties including the latest development of using machine learning methods. Automated scoring is illustrated for different types of assessments such as speaking and writing from both methodological aspects and practical considerations. Further, automated test assembly is elaborated for the conventional linear tests from both classical test theory and item response theory perspectives. Item pool design and assembly for the linear-on-the-fly tests elaborates more complications in practice when test security is a big concern. Finally, several chapters focus on computerized adaptive testing (CAT) at either item or module levels. CAT is further illustrated as an effective approach to increasing test-takers’ engagement in testing. In summary, the book includes both theoretical, methodological, and applied research and practices that serve as the foundation for future development. These chapters provide illustrations of efforts to automate the process of test development. While some of these automation processes have become common practices such as automated test assembly, automated scoring, and computerized adaptive testing, some others such as automated item generation calls for more research and exploration. When new AI methods are emerging and evolving, it is expected that researchers can expand and improve the methods for automating different steps in test development to enhance the automation features and practitioners can adopt quality automation procedures to improve assessment practices.
Book Synopsis Artificial Intelligence in Education and Teaching Assessment by : Wei Wang
Download or read book Artificial Intelligence in Education and Teaching Assessment written by Wei Wang and published by Springer Nature. This book was released on 2022-01-01 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book collects papers on education quality assessment based on AI technology and introduces the latest research direction and progress of AI technology in the field of education and teaching, including classroom teaching quality assessment, online education quality assessment, teaching reflection quality assessment, etc. This book promotes the application of artificial intelligence technology in the field of education and teaching, effectively improving the quality of education and teaching. Researchers in artificial intelligence technology, teachers, students, and others benefit from this book.
Book Synopsis Evaluation and Artificial Intelligence by : Sarah Mason (Ph.D.)
Download or read book Evaluation and Artificial Intelligence written by Sarah Mason (Ph.D.) and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "To date, evaluations of and with AI have largely been underdeveloped and under-explored within the field of evaluation. The primary motivation for preparing this issue is to begin addressing this gap by examining the emerging uses, opportunities,challenges, and potential quagmires that flow from recent developments in AI. This issue builds on a virtual symposium—Are we at a fork in the road? A symposium exploring the implications and opportunities for artificial intelligence in evaluation—facilitated by the guest editors in early 2023. Contributing authors have engaged with various AI-related research, tools, platforms, programs, and ideas, reflecting on how these developments might influence the developing trajectory of evaluation theory and practice, the evaluation workforce, evaluator training, and evaluation ethics."--Page 8.
Book Synopsis Evaluating the Effectiveness of Artificial Intelligence Systems in Intelligence Analysis by : Daniel Ish
Download or read book Evaluating the Effectiveness of Artificial Intelligence Systems in Intelligence Analysis written by Daniel Ish and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The authors develop methods for assessing the impact of deploying artificial intelligence (AI) systems to support intelligence missions.
Book Synopsis Artificial Intelligence and Project Management by : Tadeusz A. Grzeszczyk
Download or read book Artificial Intelligence and Project Management written by Tadeusz A. Grzeszczyk and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Although some people had considerable doubts about the usefulness of such solutions in the past, AI plays a growing role in modern business. It can be expected that the interest in it will also lead to an increase in supporting the planning, evaluation and implementation of projects. In particular, the proper functioning of multifaceted evaluation methods has a crucial impact on the appropriate planning and execution of various types of projects, as well as the effective achievement of the organization's goals. This book offers a presentation of complex problems and challenges related to the development of AI in project management, proposing an integrated approach to knowledge-based evaluation and indicating the possibilities of improving professional practical knowledge in this field. The unique contribution of this book is to draw attention to the possibilities resulting from conducting transdisciplinary research and drawing on the rich achievements in the field of research development on knowledge-based systems that can be used to holistically support the processes of planning, evaluation and project management. The concept of the integrated approach to knowledge-based evaluation is presented, developed as a result of drawing inspiration from the systems approach, praxeology and selected AI mathematical models. Presented in a highly accessible manner, the book discusses mathematical tools in a simple way, which enables understanding of the content by readers across broad subject areas who may be not only participants of specialist training and university students but also practitioners, consultants, or evaluators. Supported by pedagogical features, this book will be a valuable resource for academics and upper-level students in particular across project management related fields and of great interest to all those looking to understand the challenges and effectiveness of AI in business"--
Book Synopsis Rethinking Assessment and Feedback: Adapting Evaluation Methods for the Age of Artificial Intelligence (AI) by :
Download or read book Rethinking Assessment and Feedback: Adapting Evaluation Methods for the Age of Artificial Intelligence (AI) written by and published by STAR SCHOLARS. This book was released on with total page 13 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Performance Evaluation and Benchmarking for the Era of Artificial Intelligence by : Raghunath Nambiar
Download or read book Performance Evaluation and Benchmarking for the Era of Artificial Intelligence written by Raghunath Nambiar and published by Springer. This book was released on 2019-01-29 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 10th TPC Technology Conference on Performance Evaluation and Benchmarking, TPCTC 2018, held in conjunction with the 44th International Conference on Very Large Databases (VLDB 2018) in August 2018. The 10 papers presented were carefully reviewed and selected from numerous submissions. The TPC encourages researchers and industry experts to present and debate novel ideas and methodologies in performance evaluation, measurement, and characterization.
Book Synopsis Machine Learning with Python for Everyone by : Mark Fenner
Download or read book Machine Learning with Python for Everyone written by Mark Fenner and published by Addison-Wesley Professional. This book was released on 2019-07-30 with total page 1376 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Complete Beginner’s Guide to Understanding and Building Machine Learning Systems with Python Machine Learning with Python for Everyone will help you master the processes, patterns, and strategies you need to build effective learning systems, even if you’re an absolute beginner. If you can write some Python code, this book is for you, no matter how little college-level math you know. Principal instructor Mark E. Fenner relies on plain-English stories, pictures, and Python examples to communicate the ideas of machine learning. Mark begins by discussing machine learning and what it can do; introducing key mathematical and computational topics in an approachable manner; and walking you through the first steps in building, training, and evaluating learning systems. Step by step, you’ll fill out the components of a practical learning system, broaden your toolbox, and explore some of the field’s most sophisticated and exciting techniques. Whether you’re a student, analyst, scientist, or hobbyist, this guide’s insights will be applicable to every learning system you ever build or use. Understand machine learning algorithms, models, and core machine learning concepts Classify examples with classifiers, and quantify examples with regressors Realistically assess performance of machine learning systems Use feature engineering to smooth rough data into useful forms Chain multiple components into one system and tune its performance Apply machine learning techniques to images and text Connect the core concepts to neural networks and graphical models Leverage the Python scikit-learn library and other powerful tools Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Book Synopsis Evaluating Explanations by : David B. Leake
Download or read book Evaluating Explanations written by David B. Leake and published by Psychology Press. This book was released on 2014-02-25 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: Psychology and philosophy have long studied the nature and role of explanation. More recently, artificial intelligence research has developed promising theories of how explanation facilitates learning and generalization. By using explanations to guide learning, explanation-based methods allow reliable learning of new concepts in complex situations, often from observing a single example. The author of this volume, however, argues that explanation-based learning research has neglected key issues in explanation construction and evaluation. By examining the issues in the context of a story understanding system that explains novel events in news stories, the author shows that the standard assumptions do not apply to complex real-world domains. An alternative theory is presented, one that demonstrates that context -- involving both explainer beliefs and goals -- is crucial in deciding an explanation's goodness and that a theory of the possible contexts can be used to determine which explanations are appropriate. This important view is demonstrated with examples of the performance of ACCEPTER, a computer system for story understanding, anomaly detection, and explanation evaluation.
Author :National Academies of Sciences Engineering and Medicine Publisher : ISBN 13 :9780309704397 Total Pages :0 pages Book Rating :4.7/5 (43 download)
Book Synopsis Test and Evaluation Challenges in Artificial Intelligence-Enabled Systems for the Department of the Air Force by : National Academies of Sciences Engineering and Medicine
Download or read book Test and Evaluation Challenges in Artificial Intelligence-Enabled Systems for the Department of the Air Force written by National Academies of Sciences Engineering and Medicine and published by . This book was released on 2023-10-07 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Department of the Air Force (DAF) is in the early stages of incorporating modern artificial intelligence (AI) technologies into its systems and operations. The integration of AI-enabled capabilities across the DAF will accelerate over the next few years. At the request of DAF Air and Space Forces, this report examines the Air Force Test Center technical capabilities and capacity to conduct rigorous and objective tests, evaluations, and assessments of AI-enabled systems under operational conditions and against realistic threats. This report explores both the opportunities and challenges inherent in integrating AI at speed and at scale across the DAF.
Book Synopsis Artificial Intelligence Suitability. Assessment of Manufacturing-Execution-System Functions by : Yasin Sengöz
Download or read book Artificial Intelligence Suitability. Assessment of Manufacturing-Execution-System Functions written by Yasin Sengöz and published by GRIN Verlag. This book was released on 2020-09-01 with total page 75 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master's Thesis from the year 2020 in the subject Computer Sciences - Artificial Intelligence, grade: 2,0, Jönköping International Business School (School of Engineering), course: Final Project Work in Production Systems, language: English, abstract: The thesis work introduces an assessment framework consisting of decisive criteria and related indicators which describe qualitatively the suitability of AI for MES functions based on three criteria with related indicators. In addition, the researcher displays furthermore how the developed assessment framework can be used in order to assess the MES functions regarding their AI “readiness”. In order to cope the findings through the thesis work an inductive research approach has been applied. Existing literature in the fields of intelligent manufacturing, Manufacturing-Execution-Systems, machine learning, deep learning, intelligent manufacturing, digital twin, and assessment methodologies have been extensively studied in order to base the theoretical developed framework on grounded theory. A case study was carried out in order to test the validity and reliability of the developed assessment framework for industry. The outcome of this thesis work was an assessment framework consisting of decisive criteria and related indicators when evaluating a MES function in respect to its AI suitability. Furthermore, an assessment checklist has been provided for the industry in order to be able to assess a MES function regards AI support in a quick and pragmatic manner. To generate a more generalizable assessment framework criteria and indicators have to be adapted, likewise testing the outcome of analogue and digital assessment methodologies will provide material for future studies. Artificial Intelligence arises in the manufacturing field very rapidly. Implementing Artificial Intelligence (AI) solutions and algorithms in the manufacturing environment is a well-known research field in academia. On the other hand, Manufacturing-Execution-System (MES) providers do not have a theoretical and pragmatic framework regarding the evaluation of MES functions in respect to their suitability for Artificial Intelligence. In order to be able to pre-evaluate whether a MES function shall be AI supported an intense literature research has been conducted. Academia shows few investigations regarding this field of research. Recent studies have been concerning about possible applications for MES functions in combination with AI. However, there is a lack of research in terms of pre-evaluating a MES function before embedding the function with AI support, since the development of AI solutions for MES functions without pre-evaluating those bears a waste of valuable resources.
Book Synopsis Putting Artificial Intelligence to Work by : Seymour Schoen
Download or read book Putting Artificial Intelligence to Work written by Seymour Schoen and published by . This book was released on 1987-11-04 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first guide to applying the emerging technology of artificial intelligence and expert systems to the corporate environment. Focuses on specific, practical applications as well as ways of setting them in motion--from determining realistic applications, to evaluating costs, to getting authorization for purchasing and implementing AI and expert systems. Points out the potential benefits of using artificial intelligence for a variety of business functions in a way that makes this new technology accessible to the business community.
Book Synopsis An Intelligence in Our Image by : Osonde A. Osoba
Download or read book An Intelligence in Our Image written by Osonde A. Osoba and published by Rand Corporation. This book was released on 2017-04-05 with total page 45 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning algorithms and artificial intelligence influence many aspects of life today. This report identifies some of their shortcomings and associated policy risks and examines some approaches for combating these problems.
Book Synopsis Evaluating Natural Language Processing Systems by : Karen Sparck Jones
Download or read book Evaluating Natural Language Processing Systems written by Karen Sparck Jones and published by Springer Science & Business Media. This book was released on 1995 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about the patterns of connections between brain structures. It reviews progress on the analysis of neuroanatomical connection data and presents six different approaches to data analysis. The results of their application to data from cat and monkey cortex are explored. This volume sheds light on the organization of the brain that is specified by its wiring.
Book Synopsis Cognitive Electronic Warfare: An Artificial Intelligence Approach by : Karen Haigh
Download or read book Cognitive Electronic Warfare: An Artificial Intelligence Approach written by Karen Haigh and published by Artech House. This book was released on 2021-07-31 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive book gives an overview of how cognitive systems and artificial intelligence (AI) can be used in electronic warfare (EW). Readers will learn how EW systems respond more quickly and effectively to battlefield conditions where sophisticated radars and spectrum congestion put a high priority on EW systems that can characterize and classify novel waveforms, discern intent, and devise and test countermeasures. Specific techniques are covered for optimizing a cognitive EW system as well as evaluating its ability to learn new information in real time. The book presents AI for electronic support (ES), including characterization, classification, patterns of life, and intent recognition. Optimization techniques, including temporal tradeoffs and distributed optimization challenges are also discussed. The issues concerning real-time in-mission machine learning and suggests some approaches to address this important challenge are presented and described. The book covers electronic battle management, data management, and knowledge sharing. Evaluation approaches, including how to show that a machine learning system can learn how to handle novel environments, are also discussed. Written by experts with first-hand experience in AI-based EW, this is the first book on in-mission real-time learning and optimization.
