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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: 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: 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: 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: 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: 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: 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.
Author: Pan, Fang
Publisher: IGI Global
ISBN:
Category : Language Arts & Disciplines
Languages : en
Pages : 406
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Book Description
The introduction of Artificial Intelligence (AI) has ignited a fervent academic discourse. AI's role is as both a powerful ally and a potential adversary in education. For instance, ChatGPT is a generative AI which mimics human conversation with impressive precision. Its capabilities span the educational spectrum, from answering questions and generating essays to composing music and coding. Yet, as with any innovation, its advent has sparked a spirited academic dialogue. AI in Language Teaching, Learning, and Assessment seeks to address these concerns with rigor and thoughtfulness. It explores the undeniable drawbacks of AI in language education and offers strategic insights into their prevention. It scrutinizes the resources and safeguards required to ensure the ethical and secure integration of AI in academic settings. This book lays out the multifaceted benefits of incorporating AI into language teaching, learning, and assessment. Its chapters dissect the transformative impact of AI on pedagogy, teaching materials, assessment methodologies, applied linguistics, and the broader landscape of language education development. This book is a valuable resource for language learners, educators, researchers, and scholars alike. It beckons to those who are keen on exploring and implementing AI in education, as well as AI developers and experts seeking to bridge the chasm between technology and language education.
Author: Mario Capellari
Publisher: Resilientech
ISBN:
Category : Computers
Languages : en
Pages : 78
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Book Description
Embark on a journey into the heart of artificial intelligence (AI) with a guide designed for those intrigued by AI technologies. This book shines a light on the essentials of AI, emphasizing the groundbreaking impact of Large Language Models (LLMs). It offers a clear pathway to understanding AI's evolution, from its foundational concepts like neural networks and natural language processing to the advanced realms of generative AI that shape our future. Discover how AI is revolutionizing various industries, including healthcare, finance, education, and the arts, demonstrating its potential to transform the world. The narrative also tackles the ethical, privacy, and societal challenges accompanying AI's rise, fostering a dialogue on bias, data privacy, and the evolving landscape of work in an AI-enhanced world. Ideal for AI enthusiasts, professionals seeking to grasp AI's relevance to their fields, and anyone interested in the broader implications of AI technologies, this book provides an insightful introduction to AI and LLMs. It invites readers to explore the opportunities and navigate the changes AI brings, preparing them to thrive amidst the ongoing AI revolution.
Author: Areba, George Ngwacho
Publisher: IGI Global
ISBN:
Category : Education
Languages : en
Pages : 350
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Book Description
In the rapidly evolving landscape of higher education, technology has become the driving force behind revolutionary changes in teaching, learning, and leadership. The intersection of artificial intelligence (AI), digital learning platforms, and innovative leadership practices has created opportunities and challenges that are reshaping education systems around the world. Educators and institutions are now tasked with adapting to these shifts while ensuring equitable access to learning resources and maintaining academic integrity. It is essential to foster a culture of continuous innovation and critical thinking to prepare students for the complexities of the modern world. Artificial Intelligence, Digital Learning, and Leadership: Redefining Higher Education provides a comprehensive overview of how AI, digital learning, and leadership are shaping the future of higher education. By examining various aspects of AI's integration into education, it provides valuable insights into the transformative power of technology in academic environments. Covering topics such as academic integrity and ethics, digital learning, and virtual classrooms, this book is an excellent resource for administrators, educators, researchers, academicians, graduate and postgraduate students, and more.
