Academic Integrity in the Age of Artificial Intelligence PDF Download
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Author: Mahmud, Saadia
Publisher: IGI Global
ISBN:
Category : Education
Languages : en
Pages : 373
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Book Description
Powerful generative Artificial Intelligence (AI) has defined and transformed our modern era, and the fundamental conceptualization of academia stands at a crossroads. Academic Integrity in the Age of Artificial Intelligence delves deep into the seismic shifts and intricate challenges brought forth by the proliferation of AI technologies, exploring the intricacies between innovation and integrity. The rise of generative AI, exemplified by ChatGPT, has set a cascade of change across diverse sectors, including higher education, medicine, and the arts. This book dissects the multifaceted impact of AI on the academic landscape. With AI's ability to craft text and imagery mirroring human creativity, the lines between authentic scholarship and synthetic deception blur. The book examines the delicate balance between productivity and ethics while weaving a comprehensive tapestry of insights from various stakeholders. From academics grappling with the definition of AI-assisted breaches of academic integrity to policymakers reshaping the future of higher education, this book engages a myriad of voices. It scrutinizes the nascent challenges in assessment design, the urgent need to update antiquated integrity policies, and the importance of research ethics in an AI-driven world. This book is ideal for educators, policymakers, students, and technologists through the complicated terrain of AI ethics.
Author: Mahmud, Saadia
Publisher: IGI Global
ISBN:
Category : Education
Languages : en
Pages : 373
Get Book
Book Description
Powerful generative Artificial Intelligence (AI) has defined and transformed our modern era, and the fundamental conceptualization of academia stands at a crossroads. Academic Integrity in the Age of Artificial Intelligence delves deep into the seismic shifts and intricate challenges brought forth by the proliferation of AI technologies, exploring the intricacies between innovation and integrity. The rise of generative AI, exemplified by ChatGPT, has set a cascade of change across diverse sectors, including higher education, medicine, and the arts. This book dissects the multifaceted impact of AI on the academic landscape. With AI's ability to craft text and imagery mirroring human creativity, the lines between authentic scholarship and synthetic deception blur. The book examines the delicate balance between productivity and ethics while weaving a comprehensive tapestry of insights from various stakeholders. From academics grappling with the definition of AI-assisted breaches of academic integrity to policymakers reshaping the future of higher education, this book engages a myriad of voices. It scrutinizes the nascent challenges in assessment design, the urgent need to update antiquated integrity policies, and the importance of research ethics in an AI-driven world. This book is ideal for educators, policymakers, students, and technologists through the complicated terrain of AI ethics.
Author: David A. Rettinger
Publisher: John Wiley & Sons
ISBN: 1119868173
Category : Education
Languages : en
Pages : 259
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Book Description
Practical and insightful solutions to the growing problem of academic dishonesty In Cheating Academic Integrity: Lessons from 30 Years of Research, a team of renowned academic integrity experts delivers revealing and practicing insights into the causes of—and solutions to—academic cheating by students. This edited volume combines leading research from an interdisciplinary group of scholars, offering readers an overview of the most important topics and trends in academic integrity research. The book focuses on teaching, classrooms, and faculty behavior and offers a glimpse into the future of this rapidly developing field. Readers will also find: Discussions of the newest forms of cheating, including online “contract cheating” and “paper mills” and the methods used to combat them Explorations of the prevalence of cheating and plagiarism between 1990 and 2020 Psychological perspectives on the student motivations underlying academic integrity violations Teaching and learning approaches to reduce academic misconduct in both online and in-person courses A must-read resource for administrators, leaders, and policymakers involved with higher education, Cheating Academic Integrity also belongs on the bookshelves of school administrators-in-training and others preparing for a career in education.
Author: April G. Dawson
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 0
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Book Description
"Within a clearly articulated framework of institutional requirements for academic integrity, this primer introduces students to the protocols, possibilities, and ethical hazards of using AI (such as ChatGPT, Bard, and Bing) in their law school studies"--
Author: April G. Dawson
Publisher: Aspen Publishing
ISBN:
Category : Law
Languages : en
Pages : 137
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Book Description
Artificial Intelligence and Academic Integrity, by April G. Dawson, is Aspen’s concise primer intended to increase student awareness of the protocols, possibilities, and ethical implications of using AI systems in their legal education studies, while also giving professors assurance that their students are informed of the same. AI is having a sudden and profound impact on the legal profession, as it has in virtually professions worldwide. Understanding how to leverage AI tools effectively and appropriately will give law school graduates a competitive edge among legal employers interested to hire tech-savvy young lawyers. But AI is also having a profound impact on the legal education experience. As more and more students seek assistance from ChatGPT and similar tools for their academic work, questions arise as to what they are gaining or sacrificing in the process; and whether, or at what point, using AI in academic work falls within the bounds of academic integrity. Such dramatic developments call for better knowledge and understanding of the ethical implications associated with using AI systems in law school. April G. Dawson explores the pros and cons of using powerful AI tools in law school while maintaining institutional standards for academic rigor and intellectual honesty in legal education—alongside students’ own values and developing sense of legal ethics. Professors and students will benefit from: Assurance that AIAI raises student awareness of the importance of 1) using generative AI tools like ChatGPT responsibly; and 2) understanding how academic integrity facilitates learning and prepares students to become ethically responsible in the practice of law; 3) researching and reading their school’s code of conduct, and 4) understanding the policies of individual professors with respect to the use of generative AI tools. Reflection: Professional Identity Formation (PIF), questions that prompt students to reflect on their own experiences with generative AI—both its useful applications for learning and practice, as well as the potential for using AI in ways that violate academic integrity and undermine principles of professional responsibility. Examples of individuals making choices and realizing the consequences of their decisions for a range of situations and ethical quandaries Case Studies feature summaries of recent landmark cases and discussion of law and policy. A concise overview of law-specific AI products, the tasks they perform, and the reasons for the legal profession’s measured approach to adopting them Incisive discussion of the potential for generative AI’s to significantly mitigate, though not fully address, the nation’s access to justice crisis
Author: Nadda, Vipin
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 288
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Book Description
In a world grappling with sustainability challenges, the service sector is crucial for both the global economy and achieving Sustainable Development Goals (SDGs). Despite its importance, the sector faces obstacles like unequal access, resource inefficiency, and the digital divide, hindering progress towards sustainability.Sustainable Development Goal Advancement Through Digital Innovation in the Service Sector offers a pioneering solution by exploring how digital technologies can drive SDG achievement in this sector, unveiling a transformative path toward sustainability. The book delves deep into the relationship between digital innovation and sustainable development, revealing challenges, opportunities, and strategies. It highlights how technologies like IoT, AI, and blockchain can revolutionize service delivery, enhance access, and promote resource efficiency. More than a guide, this book serves as a roadmap for policymakers, academics, business leaders, and changemakers, enabling them to leverage digital innovation's potential for a service sector that transcends limitations and aligns with SDGs.
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: Tracey Bretag
Publisher:
ISBN: 9781760516857
Category : Cheating (Education)
Languages : en
Pages : 50
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Book Description
Author: Sharma, Ramesh C.
Publisher: IGI Global
ISBN:
Category : Education
Languages : en
Pages : 570
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Book Description
The rise of generative Artificial Intelligence (AI) signifies a momentous stride in the evolution of Large Language Models (LLMs) within the expansive sphere of Natural Language Processing (NLP). This groundbreaking advancement ripples through numerous facets of our existence, with education, AI literacy, and curriculum enhancement emerging as focal points of transformation. Within the pages of Transforming Education With Generative AI: Prompt Engineering and Synthetic Content Creation, readers embark on a journey into the heart of this transformative phenomenon. Generative AI's influence extends deeply into education, touching the lives of educators, administrators, policymakers, and learners alike. Within the pages of this book, we explore the intricate art of prompt engineering, a skill that shapes the quality of AI-generated educational content. As generative AI becomes increasingly accessible, this comprehensive volume empowers its audience, by providing them with the knowledge needed to navigate and harness the potential of this powerful tool.
Author: Velliaris, Donna M.
Publisher: IGI Global
ISBN: 1522575324
Category : Education
Languages : en
Pages : 324
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Book Description
Cheating in educational institutions and society not only threatens the overall quality of the education, as well as its dissemination of knowledge, but it also affects the current social fabric. With the ever-evolving realm of the internet, the scope of plagiarism has now expanded and presents new detection challenges. As such, methods, strategies, and models need to be employed to preserve the integrity of institutions of higher education (HEIs). Prevention and Detection of Academic Misconduct in Higher Education is an essential research book that analyzes traditional and contemporary methods of cheating, the prevention and detection of academic misconduct, and the cross-cultural implications of academic dishonesty. Edited by an esteemed IGI Global editor in the field of education, this publication highlights related topics including diagnostic testing, mobile technologies, and electronic plagiarism detection, making it a valuable resource for educators, administrators, academicians, researchers, and professionals seeking to maintain the creation, dissemination, and preservation of knowledge.
Author: Thompson, Steven John
Publisher: IGI Global
ISBN: 1799848957
Category : Computers
Languages : en
Pages : 266
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Book Description
Machines and computers are becoming increasingly sophisticated and self-sustaining. As we integrate such technologies into our daily lives, questions concerning moral integrity and best practices arise. A changing world requires renegotiating our current set of standards. Without best practices to guide interaction and use with these complex machines, interaction with them will turn disastrous. Machine Law, Ethics, and Morality in the Age of Artificial Intelligence is a collection of innovative research that presents holistic and transdisciplinary approaches to the field of machine ethics and morality and offers up-to-date and state-of-the-art perspectives on the advancement of definitions, terms, policies, philosophies, and relevant determinants related to human-machine ethics. The book encompasses theory and practice sections for each topical component of important areas of human-machine ethics both in existence today and prospective for the future. While highlighting a broad range of topics including facial recognition, health and medicine, and privacy and security, this book is ideally designed for ethicists, philosophers, scientists, lawyers, politicians, government lawmakers, researchers, academicians, and students. It is of special interest to decision- and policy-makers concerned with the identification and adoption of human-machine ethics initiatives, leading to needed policy adoption and reform for human-machine entities, their technologies, and their societal and legal obligations.
