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Author: Chandrasekar Vuppalapati
Publisher: Springer Nature
ISBN: 3031560973
Category :
Languages : en
Pages : 481
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Book Description
Author: Chandrasekar Vuppalapati
Publisher: Springer Nature
ISBN: 3031560973
Category :
Languages : en
Pages : 481
Get Book Here
Book Description
Author: El Bachir Boukherouaa
Publisher: International Monetary Fund
ISBN: 1589063953
Category : Business & Economics
Languages : en
Pages : 35
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Book Description
This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.
Author: Miao, Fengchun
Publisher: UNESCO Publishing
ISBN: 9231004476
Category : Political Science
Languages : en
Pages : 50
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Book Description
Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed]
Author: Hong Jiao
Publisher: IAP
ISBN: 1641139536
Category : Computers
Languages : en
Pages : 218
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Book Description
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.
Author: Gupta, Brij
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 521
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Book Description
The development of large language models has resulted in artificial intelligence advancements promising transformations and benefits across various industries and sectors. However, this progress is not without its challenges. The scale and complexity of these models pose significant technical hurdles, including issues related to bias, transparency, and data privacy. As these models integrate into decision-making processes, ethical concerns about their societal impact, such as potential job displacement or harmful stereotype reinforcement, become more urgent. Addressing these challenges requires a collaborative effort from business owners, computer engineers, policymakers, and sociologists. Fostering effective research for solutions to address AI ethical challenges may ensure that large language model developments benefit society in a positive way. Challenges in Large Language Model Development and AI Ethics addresses complex ethical dilemmas and challenges of the development of large language models and artificial intelligence. It analyzes ethical considerations involved in the design and implementation of large language models, while exploring aspects like bias, accountability, privacy, and social impacts. This book covers topics such as law and policy, model architecture, and machine learning, and is a useful resource for computer engineers, sociologists, policymakers, business owners, academicians, researchers, and scientists.
Author: Daniel Ish
Publisher:
ISBN: 9781977407252
Category : Computers
Languages : en
Pages : 0
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Book Description
The authors develop methods for assessing the impact of deploying artificial intelligence (AI) systems to support intelligence missions.
Author: Antony John Kunnan
Publisher: John Wiley & Sons
ISBN: 1394179618
Category : Education
Languages : en
Pages : 725
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Book Description
The Concise Companion to Language Assessment provides a state-of-the-art overview of the crucial areas of language assessment, teaching, and learning. Edited by one of the foremost scholars in the field, The Concise Companion combines newly commissioned articles on innovations in assessment with a selection of chapters from The Companion to Language Assessment, the landmark four-volume reference work first published in 2013. Presented in eight themes, The Concise Companion addresses a broad range of language assessment methods, issues, and contexts. Forty-five chapters cover assessment conceptualization, development, research, and policy, as well as recent changes in language assessment technology, learning-oriented assessment, teacher-based assessment, teacher assessment literacy, plurilingual assessment, assessment for immigration, and more. Exploring the past, present, and future possibilities of the dynamic field, The Concise Companion to Language Assessment: Contains dedicated chapters on listening, speaking, reading writing, vocabulary, pronunciation, intercultural competence, and other language skills Describes fundamental assessment design and scoring guidelines, as well as advanced concepts in scenario-based assessment and automated performance scoring Provides insights on different assessment environments, such as classrooms, universities, employment, immigration, and healthcare Covers various qualitative and quantitative research methods, including introspective methods, classical reliability, and structural equation modeling Discusses the impacts of colonialism and discrimination on the history of language assessment Explores the use of AI in writing evaluation, plagiarism and cheating detection, and other assessment contexts Sure to become a standard text for the next generation of applied linguistics students, The Concise Companion to Language Assessment is an invaluable textbook for undergraduate and graduate courses in applied linguistics, language assessment, TESOL, second language acquisition, and language policy.
Author:
Publisher: STAR SCHOLARS PRESS
ISBN: 195748036X
Category : Education
Languages : en
Pages : 322
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Book Description
ChatGPT and Global Higher Education: Using Artificial Intelligence in Teaching and Learning
Author:
Publisher: STAR SCHOLARS
ISBN:
Category :
Languages : en
Pages : 17
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Book Description
ChatGPT on Student Learning Outcomes in Higher Education: A Meta-Analysis of Early Studies
Author: Obaid, Ahmed J.
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 505
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Book Description
The rapid advancements in Artificial Intelligence (AI), specifically in Natural Language Processing (NLP) and Generative AI, pose a challenge for academic scholars. Staying current with the latest techniques and applications in these fields is difficult due to their dynamic nature, while the lack of comprehensive resources hinders scholars' ability to effectively utilize these technologies. Advanced Applications of Generative AI and Natural Language Processing Models offers an effective solution to address these challenges. This comprehensive book delves into cutting-edge developments in NLP and Generative AI. It provides insights into the functioning of these technologies, their benefits, and associated challenges. Targeting students, researchers, and professionals in AI, NLP, and computer science, this book serves as a vital reference for deepening knowledge of advanced NLP techniques and staying updated on the latest advancements in generative AI. By providing real-world examples and practical applications, scholars can apply their learnings to solve complex problems across various domains. Embracing Advanced Applications of Generative AI and Natural Language Processing Modelsequips academic scholars with the necessary knowledge and insights to explore innovative applications and unleash the full potential of generative AI and NLP models for effective problem-solving.
