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Plagiarism in Higher Education by Sarah Elaine Eaton
With considerations for students, faculty members, librarians, and researchers, this book will explain and help to mitigate plagiarism in higher education contexts. Plagiarism is a complex issue that affects many stakeholders in higher education, but it isn't always well understood. This text provides an in-depth, evidence-based understanding of plagiarism with the goal of engaging campus communities in informed conversations about proactive approaches to plagiarism. Offering practical suggestions for addressing plagiarism campus-wide, this book tackles such messy topics as self-plagiarism, plagiarism among international students, essay mills, and contract cheating. It also answers such tough questions as: Why do students plagiarize, and why don't faculty always report it? Why are plagiarism cases so hard to manage? What if researchers themselves plagiarize? How can we design better learning assessments to prevent plagiarism? When should we choose human detection versus text-matching software? This nonjudgmental book focuses on academic integrity from a teaching and learning perspective, offering comprehensive insights into various aspects of plagiarism with a particular lens on higher education to benefit the entire campus community.
Publication Date: 2021
Trustworthy AI by Beena Ammanath
An essential resource on artificial intelligence ethics for business leaders In Trustworthy AI, award-winning executive Beena Ammanath offers a practical approach for enterprise leaders to manage business risk in a world where AI is everywhere by understanding the qualities of trustworthy AI and the essential considerations for its ethical use within the organization and in the marketplace. The author draws from her extensive experience across different industries and sectors in data, analytics and AI, the latest research and case studies, and the pressing questions and concerns business leaders have about the ethics of AI. Filled with deep insights and actionable steps for enabling trust across the entire AI lifecycle, the book presents: In-depth investigations of the key characteristics of trustworthy AI, including transparency, fairness, reliability, privacy, safety, robustness, and more A close look at the potential pitfalls, challenges, and stakeholder concerns that impact trust in AI application Best practices, mechanisms, and governance considerations for embedding AI ethics in business processes and decision making Written to inform executives, managers, and other business leaders, Trustworthy AI breaks new ground as an essential resource for all organizations using AI.
Publication Date: 2022
Generative AI by Martin Musiol
An engaging and essential discussion of generative artificial intelligence In Generative AI: Navigating the Course to the Artificial General Intelligence Future, celebrated author Martin Musiol--founder and CEO of generativeAI.net and GenAI Lead for Europe at Infosys--delivers an incisive and one-of-a-kind discussion of the current capabilities, future potential, and inner workings of generative artificial intelligence. In the book, you'll explore the short but eventful history of generative artificial intelligence, what it's achieved so far, and how it's likely to evolve in the future. You'll also get a peek at how emerging technologies are converging to create exciting new possibilities in the GenAI space. Musiol analyzes complex and foundational topics in generative AI, breaking them down into straightforward and easy-to-understand pieces. You'll also find: Bold predictions about the future emergence of Artificial General Intelligence via the merging of current AI models Fascinating explorations of the ethical implications of AI, its potential downsides, and the possible rewards Insightful commentary on Autonomous AI Agents and how AI assistants will become integral to daily life in professional and private contexts Perfect for anyone interested in the intersection of ethics, technology, business, and society--and for entrepreneurs looking to take advantage of this tech revolution--Generative AI offers an intuitive, comprehensive discussion of this fascinating new technology.
Publication Date: 2024
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