eBooks

AI-driven Research Innovations in Computing and Information Science
Ngulube, Patrick (2026)

Artificial intelligence (AI) is fundamentally reshaping research and information science by enabling faster data processing, more nuanced analysis, and new methodological possibilities that were previously unattainable. Its integration into research workflows enhances knowledge discovery, supports more equitable and ethical inquiry, and broadens the scope of what scholars can investigate across digital, social, and technical domains. 

As AI tools advance, they not only boost efficiency but also challenge researchers to rethink issues of bias, trust, and responsibility within data-driven environments. These shifts are influencing how information is created, organized, and interpreted, with wide-ranging implications for society. AI-Driven Research Innovations in Computing and Information Science examines emerging AI-driven research methods and frameworks across computing, information science, and social contexts. It explores innovative applications, ethical considerations, and field-specific methodologies to guide researchers in navigating an increasingly AI-integrated world. 

Covering topics such as algorithmic injustice, digital labor platforms, and school libraries, this book is an excellent resource for researchers, academicians, graduate and postgraduate students, industry practitioners, data analysts, library and information professionals, policymakers, and more. - Publisher's Description

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Ensuring Secure and Ethical STM Research in the AI Era
Zangana, Hewa Majeed; Omar, Marwan (2025)

As artificial intelligence (AI) is integrated into scientific, technical, and medical (STM) research, ensuring security and ethical standards becomes more critical. AI tools play a transformative role in data analysis and research methods, to peer reviews and publication, raising complex questions around data privacy, algorithmic bias, intellectual property, and research integrity. The rapid pace of innovation also introduces risks like the misuse of generative models, vulnerabilities in automated systems, and challenges in maintaining transparency and accountability. 

To navigate this landscape, a proactive approach is essential, combining governance frameworks, interdisciplinary collaboration, and ethical oversight. By prioritizing these elements, the scientific community can harness the full potential of AI while safeguarding integrity and societal trust in STM research. 

"Ensuring Secure and Ethical STM Research in the AI Era" explores the convergence of AI, ethics, and cybersecurity within the context of STM innovation. It examines addresses the secure and ethical deployment of AI in scientific research, development, and discovery. This book covers topics such as biomedicine, cloud technology, and data privacy, and is a useful resource for business owners, computer engineers, academicians, researchers, and scientists. - Publisher's Description

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Navigating AI in Academic Libraries: Implications for Academic Research
Sacco, Kathleen; Norton, Alison; Arms, Kevin (2024)

Today's research scholars face the problem of how to effectively navigate the transformative impact of Artificial Intelligence (AI) while maintaining ethical integrity and scholarly rigor. AI technologies have permeated every aspect of scholarly inquiry, from information retrieval to research methodologies. As such, scholars grapple with the ethical implications, challenges, and opportunities presented by this technological revolution. Plagiarism, bias, and copyright issues in AI-assisted research threaten to undermine the integrity of academic scholarship. 

"Navigating AI in Academic Libraries: Implications for Academic Research" is presented as a groundbreaking solution to the complex challenges posed by AI integration in academia. This comprehensive volume serves as a guide for scholars seeking to navigate the intricacies of AI while upholding ethical standards and scholarly integrity. By addressing critical issues such as plagiarism detection, bias mitigation, and copyright concerns, the book equips scholars with the tools and strategies needed to harness the full potential of AI for academic inquiry. - Publisher's Description

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AI and Business, and Innovation Research: Understanding the Potential and Risks of AI for Modern Enterprises
Alareeni, Bahaaeddin; Elgedawy, Islam (2024)

This book provides a comprehensive overview of the latest trends and developments in AI and business innovation research. In today's rapidly changing business environment, artificial intelligence (AI) has become an essential tool for innovation and growth. From marketing and customer service to supply chain management and product development, AI is transforming the way businesses operate, allowing them to make better decisions and achieve their goals faster and more efficiently than ever before.

However, the integration of AI into business operations is not without its challenges and risks. There are concerns about data privacy, cybersecurity, and the potential for AI to disrupt traditional industries and displace workers. As a result, it is essential for business leaders and researchers to understand both the potential and risks of AI, and how it can be effectively leveraged for business innovation. 

This book explores the potential benefits of AI for modern enterprises,including how it can be used to enhance customer service, optimize supply chain management, and improve decision-making in a range of business contexts. It also examines the role of AI in product development, marketing, and sales, and how it can be used to drive innovation and growth. - Publisher's Description

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Revolutionizing Academic Research with AI and Augmented Reality
Vrba, Jan; Huynh, Thi Ngoc Quynh (2025)

Artificial intelligence (AI) and augmented reality (AR) have redefined how researchers discover knowledge and how they analyzed and shared. By using AI s powerful data processing capabilities and AR s immersive tools, researchers can explore complex theories and massive datasets. This fusion is not just enhancing existing methodologies, it s revolutionizing the very fabric of scholarly inquiry, paving the way for more dynamic, intuitive, and impactful research outcomes. 

"Revolutionizing Academic Research With AI and Augmented Reality" explores how universities can navigate the technological advancements of AI and AR in research and education. This book utilizes case studies to inspire educators and administrators to rethink how to use technological advancements with the new academic paradigms. Covering topics such as academic integrity, scholarly communication, and virtual labs, this book is an excellent resource for educators, researchers, university administrators, policymakers, students, academicians, and more. - Publisher's Description

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Bias, Privacy, and the Ethics of AI in Education
Paliktzoglou, Vasileios; Lahby, Mohamed; Dutta, Pushan; Muthmainnah, Muthmainnah (2026)

In an era defined by rapid technological advancement, the integration of artificial intelligence (AI) in education is profoundly reshaping curriculum development, teacher training, assessment, and other core aspects of the field. As AI continues to transform teaching, learning, and administration, it also introduces critical challenges related to data privacy, algorithmic bias, equity, autonomy, and surveillance. There is a pressing need for research that not only examines these concerns but also offers practical, sustainable approaches for the responsible long-term integration of AI in education. 

"Bias, Privacy, and the Ethics of AI in Education" examines the ethical dimensions of integrating AI into educational contexts, with a focus on developing practical frameworks for responsible, transparent, and inclusive innovation. Drawing on theoretical perspectives, empirical research, case studies, and policy insights, this book offers a balanced and actionable approach to guiding ethical AI adoption in education. Covering topics such as student privacy, educational machine learning systems, and federated intelligence, this book is an excellent academic resource for graduate and doctoral students, educators, instructional designers, AI engineers, policymakers, and more. - Publisher's Description

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Degrees of Change: What AI Means for Education and the Next Generation
Lavista Ferres, Juan (2026)

AI is transforming every commercial industry it touches. But it’s also changing the way we perform science, collect and analyze data, and even educate our young people. In "Degrees of Change: What AI Means for Education and the Next Generation," Microsoft Chief Data Scientist and Director of AI for Good Lab Juan M. Lavista Ferres along with 14 groups of scholars from 16 prestigious universities share their original scholarship and practical insights on the future of education and workforce readiness. 

This first book in the new "Microsoft AI Economy Series" from Microsoft’s AI Economy Institute explores how AI technologies – both those already existing and some still in the pipeline – should and will shape the education experience for students, educators and institutions. They discuss everything from the way that engineering and computer science will be taught in the future to how labor markets may incorporate a new crop of professionals with different competencies. - Publisher's Description

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AI Education Strategies for Future-Proofing Curriculum Design
Abdelaal, Reda Mohamed Said; Kayyali, Mustafa (2025)

As AI continues to transform industries and reshape the global workforce, education systems must evolve to prepare students for an unpredictable future. Using AI education strategies into curriculum design is no longer optional, it's essential for developing future-ready learners equipped with the skills and critical thinking necessary to thrive in an AI world. These innovative approaches to embedding AI in education and practical applications into educational frameworks, offering actionable strategies to future-proof curriculum design and bridge the gap between current learning outcomes and emerging societal needs. 

"AI Education Strategies for Future-Proofing Curriculum Design" provides a comprehensive framework for integrating AI into educational curricula, ensuring that higher education institutions remain responsive to technological advancements and workforce demands. It bridges the gap between traditional educational models and the transformative potential of AI, offering practical strategies, case studies, and innovative approaches for designing curricula that prepare students for an AI-driven future. Covering topics such as classroom management systems, higher education, and virtual assistants, this book is an excellent resource for educators, researchers, policymakers, industry professionals, and more. - Publisher's Description

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Innovating Business Education: AI, Skill Development, and Hybrid and Blended Models
Zhuplev, Anatoly (2025)

In an era defined by rapid technological advancement and shifting workforce demands, business education undergoes a transformative evolution. The integration of artificial intelligence (AI), a focus on skill development, and the rise of hybrid and blended learning models reshapes how future business leaders are trained. These innovations enhance the accessibility and personalization of education while aligning curricula with the needs of the global economy. As institutions adapt, the intersection of technology, pedagogy, and real-world application helps prepare future professionals. 

"Innovating Business Education: AI, Skill Development, and Hybrid and Blended Models" explores how emerging technologies like AI, along with evolving teaching methods such as hybrid and blended learning, transform the landscape of business education. It examines the shift toward practical, skills-based learning and how these innovations better prepare students for the demands of a changing global workforce. This book covers topics such as educational technology, professional development, and behavioral analytics, and is a useful resource for business owners, educators, computer engineers, academicians, researchers, and scientists. - Publisher's Description

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Artificial Humanities: A Fictional Perspective on Language in AI
Beguš, Nina (2025)

"Artificial Humanities" explores how literature, history, and art can deepen our understanding of artificial intelligence and its development. By examining fictional representations of AI in parallel with actual technological developments, Nina Beguš presents a novel interdisciplinary framework for understanding the cultural, philosophical, and ethical dimensions of AI. She traces connections from Eliza Doolittle to ELIZA the chatbot and current language models, incorporates Slavic fictional examples from the Pygmalion paradigm, and compares mid-century science fiction and recent Hollywood films with contemporary developments in social robotics and virtual beings. 

Highlighting the impact of human-like AI design, from gendered virtual assistants to romanticized social robots, the book shows how these technologies intersect with longstanding humanistic questions about the concepts of creativity and language as well as the relations between humans and machines. Additionally, the book explores AI’s applications in medical fields, particularly psychiatry and neurotechnology, including how AI interacts with the human body and mind to address conditions like paralysis. By emphasizing the philosophical and cultural implications of these technologies, Beguš highlights the need for responsible innovation that prioritizes human well-being as well as machine potential outside of human imitation. Accessible and thought-provoking, "Artificial Humanities" offers tools for analyzing and assessing technologies while they are being developed and invites readers to see how the humanities can guide us toward a more thoughtful future for AI. - Publisher's Description

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AI, Automation, and War: The Rise of a Military-Tech Complex
King, Anthony (2025)

Is AI about to automate war? Will autonomous drone swarms and killer robots controlled by AI dominate the battlespace and determine the winner? In "AI, Automation, and War," Anthony King debunks this science fiction–tinged narrative of AI’s military potential, exploring instead the actual applications of AI by the armed forces over the last decade. He finds that AI is not going to replace human commanders and combatants; the machines are not about to take over. Rather, the military has used, and will continue to use, AI to process data at a scale and speed that exceeds the capacity of humans. AI will be used primarily to improve military understanding and intelligence. 

King explains that military commanders, enabled by the data processing power of AI, will be able to see the battlespace at a previously unattainable depth, fidelity, and speed. AI will help the armed forces plan, target, and conduct cyber operations faster and more effectively. In order to harness AI in this way, however, a radical organisational transformation is taking place. The armed forces are integrating civilian technologists into operational headquarters to work alongside military staff. This partnership between the armed forces and the technology sector signals the emergence of a military-tech complex that promises to be as powerful in this century as the military-industrial complex was in the last. - Publisher's Description

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In Robots We Trust
Vinanzi, Samuele (2025)

"In Robots We Trust" explores the evolving relationship between humans and intelligent machines, focusing on the critical issue of trust. As robots become more integrated into our daily lives - from self-driving cars to delivery drones - our society faces a critical question: can we trust them? 

Without requiring technical or mathematical expertise, the reader is introduced to the sciences of artificial intelligence and robotics, addressing philosophical debates about machine intelligence and cognition. It examines the psychological, moral, and ethical issues unique to human-robot interactions and the factors that influence our acceptance of these machines, such as their appearance, behaviour, and our own cultural backgrounds. However, trust is a mutual relationship. 

"In Robots We Trust" presents the groundbreaking concept of Artificial Trust, where robots are empowered to decide whether to trust humans. Through real-world examples of contemporary scientific experiments in cognitive robotics, the book reveals the significant impact of these ideas for our future. - Publisher's Description

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Animals, Robots, Gods: Adventures in the Moral Imagination
Keane, Webb (2025)

We have always lived with ethically significant others, whether they are the pets we keep, the gods we believe in or the machines we are endowing with life. How should we treat them as our world changes? 

In "Animals, Robots, Gods," acclaimed anthropologist Webb Keane provides a new vision of ethics, defined less by our minds, religion or society, and more by our interactions with those around us. Drawing on ground-breaking research by fieldworkers around the world, he explores the underpinnings of our moral universe. Along the way we investigate the ethical dilemmas of South Asian animal rights activists, Balinese cockfighters, Japanese robot fanciers -- even macho cowboys. We meet a hunter in the Yukon who explains his prey generously gives itself up to him; a cancer sufferer in Thailand who sees his tumour as a reincarnated ox; a computer that gets you to confess your anxieties as if you were on the psychiatrist's couch. 

With charm, wit and insight, Keane offers us a better understanding of our doubts and certainties, showing how centuries of conversations between us and non-humans inform our conceptions of morality, and will continue to guide us in the age of AI and beyond. - Publisher's Description

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Standardization of AI Ethics: Stakeholders, Values and Profit
Kluge Corrêa, Nicholas; Mönig, Julia Maria (2026)

The relationship between AI, ethics, societal values and standardization is complex. The contributors to this volume discuss the challenges and opportunities involved in standardizing AI ethics, including algorithmic audits, stakeholder participation and certification mechanisms. They offer a comprehensive and interdisciplinary approach to AI ethics governance, covering topics such as auditing auditors, deceptive robots, HR perspectives on AI in job hiring, and how existing citizen infrastructures can inform standardization processes for ethical AI applications. - Publisher's Description

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Who Wrote This?: How AI and the Lure of Efficiency Threaten Human Writing
Baron, Naomi (2023)

Would you read this book if a computer wrote it? Would you even know? And why would it matter? 

Today's eerily impressive artificial intelligence writing tools present us with a crucial challenge: As writers, do we unthinkingly adopt AI's time-saving advantages or do we stop to weigh what we gain and lose when heeding its siren call? To understand how AI is redefining what it means to write and think, linguist and educator Naomi S. Baron leads us on a journey connecting the dots between human literacy and today's technology. From nineteenth-century lessons in composition, to mathematician Alan Turing's work creating a machine for deciphering war-time messages, to contemporary engines like ChatGPT, Baron gives readers a spirited overview of the emergence of both literacy and AI, and a glimpse of their possible future. As the technology becomes increasingly sophisticated and fluent, it's tempting to take the easy way out and let AI do the work for us. Baron cautions that such efficiency isn't always in our interest. As AI plies us with suggestions or full-blown text, we risk losing not just our technical skills but the power of writing as a springboard for personal reflection and unique expression. 

Funny, informed, and conversational, "Who Wrote This?" urges us as individuals and as communities to make conscious choices about the extent to which we collaborate with AI. The technology is here to stay. Baron shows us how to work with AI and how to spot where it risks diminishing the valuable cognitive and social benefits of being literate. - Publisher's Description

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Large Language Models
Zhao, Wayne Xin (2026)

Are you eager to explore the latest breakthrough in artificial intelligence, particularly the domain of large language models (LLMs)? This book is your go-to guide for understanding the core foundations and advanced techniques of LLMs. 

This comprehensive resource offers a complete understanding of LLM developments, from pre-training to fine-tuning.It elaborates on the classic Transformer architecture, its adaptations for LLMs, and the full training process, including data collection, cleaning, and preparation. From the book, readers can also learn how to fine-tune LLMs to follow human instructions and align with human values and intentions, ensuring safer and more ethical AI behavior. Furthermore, it helps readers discover effective prompting strategies, such as in-context learning and chain-of-thought, to enhance LLM capabilities and solve complex tasks. 

Suitable for both beginners and experienced professionals, this book is an invaluable resource for navigating the dynamic field of LLMs, offering a concise yet comprehensive exploration of the subject. The translation was originally done using artificial intelligence. Subsequently, a comprehensive human revision was done to ensure content accuracy and coherence throughout the book. - Publisher's Description

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Successful AI Product Creation: A 9-Step Framework
Agarwal, Shub (2025)

In "Successful AI Product Creation: A 9-Step Framework," AI product leader, professor of product management and AI, and industry expert, Prof. Shub Agarwal delivers the ultimate playbook―a comprehensive, step-by-step guide to Building, Scaling, and Integrating AI and Generative AI into real-world products. Drawing from over two decades of experience, this comprehensive guide bridges the gap between AI technology and business impact, ensuring you can navigate the AI revolution with confidence. - Publisher's Description

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Inclusive Innovation in the Age of AI and Big Data
Lim, Daryl (2026)

As artificial intelligence and big data analytics reshape economies and societies, the promise of innovation is increasingly shadowed by concerns over inclusion, equity, and global justice. This accessible, interdisciplinary volume brings together established and emerging voices from across the world to critically examine issues lying at the intersection of innovation, intellectual property, and inequality in the age of artificial intelligence and big data. 

Featuring empirical studies, legal analyses, policy critiques, interdisciplinary perspectives, and global insights, "Inclusive Innovation in the Age of AI and Big Data" underscores the tremendous impact gender, race, and other socioeconomic factors have on innovation and intellectual property ecosystems. This volume also explores structural barriers in these ecosystems, diversity initiatives in the patent area, metrics for measuring inclusivity and diversity in innovation, changes brought about by artificial intelligence and big data, and the evolution of the global innovation and intellectual property systems. 

In an era marked by rapid technological change, extraordinary opportunities, and deepening inequality, this volume offers carefully designed reform strategies and policy recommendations to make innovation and intellectual property ecosystems more equitable, effective, and socially responsive. - Publisher's Description

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AI for Democracy: Human-Centric, Trustworthy, and Inclusive Innovations
Mariani, Ilaria (2026)

This open access book examines the debate on Artificial Intelligence (AI) within the evolving landscape of democratic governance, where technological innovation is reshaping participation, decision-making, and institutional practices. Drawing on four Horizon Europe projects—ORBIS, AI4Gov, ITHACA, and KT4D—it offers concrete insights into how AI can be designed and governed to reflect democratic values of inclusiveness, transparency, and accountability, while also confronting the risks of opacity, bias, and institutional unpreparedness that threaten legitimacy and public trust. 

Across its chapters, the book combines design-led, participatory, and socio-technical approaches to offer actionable frameworks for: (i) improving data access and understanding; (ii) embedding ethical principles through co-creation and legal foresight; (iii) building human-centered AI systems via multi-stakeholder engagement; and (iv) addressing systemic marginalisation in AI development. Grounded in interdisciplinary research and real-world experimentation across Europe, the volume provides tools, lessons, and frameworks for responsible AI integration into democratic infrastructures. It is intended for policymakers, designers, researchers, and civic tech practitioners seeking to align technological innovation with democratic values of inclusiveness, transparency, and accountability. - Publisher's Description

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Combating Cyberbullying with Generative AI
Reddy, Kishor Kumar; Malhotra, Meetu; Ouaissa, Mariya; Hanafiah, Marlia Mohd; Shuaib, Mohammed (2025)

Cyberbullying is a pervasive global issue that threatens mental health, particularly among young people, with alarming rates of victimization. Emerging technologies like generative AI offer powerful tools to detect, prevent, and mitigate harmful online behavior, addressing this critical societal challenge. 

The use of machine learning and natural language processing enables early identification of offensive content, though ethical considerations and privacy concerns remain vital. Advancing AI-driven solutions to combat cyberbullying has the potential to create safer digital environments, fostering well-being and inclusivity online. These efforts not only bridge a significant research gap but also empower stakeholders to develop responsible, effective strategies against online abuse. 

"Combating Cyberbullying with Generative AI" emphasizes the creative ability of generative AI to generate innovative solutions that are tailored to the issues faced in cyberbully detection. It presents case studies and practical examples that demonstrate effective merging of generative AI in cyberbullying space, providing readers with applicable knowledge and motivation to implement these technologies in their situations. Covering topics such as creativity, intelligent systems, and social platforms, this book is an excellent resource for scholars, researchers, professionals, practitioners, and more. - Publisher's Description

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