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  • Multidisciplinary Movements in AI and Generative AI: Society, Business, Education

    Multidisciplinary Movements in AI and Generative AI by Visvizi, Anna; Kozłowski, Krzysztof; Calzada, Igor;

    Society, Business, Education

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    A termék adatai:

    • Kiadó Edward Elgar Publishing
    • Megjelenés dátuma 2025. november 20.

    • ISBN 9781035358656
    • Kötéstípus Keménykötés
    • Terjedelem270 oldal
    • Méret 234x156 mm
    • Nyelv angol
    • 700

    Kategóriák

    Rövid leírás:

    This book explores how AI and Generative AI (GenAI) are shaping contemporary societies. It examines the mechanisms through which they influence politics and governance, and sectors such as education and business, with a focus on their alignment with the Sustainable Development Goals (SDGs).

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    Hosszú leírás:

    This book explores how AI and Generative AI (GenAI) are shaping contemporary societies. It examines the mechanisms through which they influence politics and governance, and sectors such as education and business, with a focus on their alignment with the Sustainable Development Goals (SDGs).



    Leading experts provide a variety of complementary perspectives on the influence of AI in both public and private sectors. Chapters are organized into three thematic parts, investigating regulatory frameworks, the transformation of higher education and practical applications across industries, such as healthcare and agriculture, with detailed case studies bridging viewpoints from the Global North and South. The book further demonstrates how actionable insights, such as decentralization and Web3, technologies can create a roadmap for aligning AI with ethical principles and ensure equitable distribution of the benefits it bears.



    Scholars and students of business, business ethics, education policy, disruptive technologies and AI will greatly benefit from this comprehensive book. It is also a crucial resource for practitioners and policymakers working in public policy, administration and management, as well as regulation and governance and general SDGs.



    Multidisciplinary Movements in AI and Generative AI stands out as a comprehensive guide that not only informs but also inspires readers to engage critically with AI technologies. Its interdisciplinary approach and the editors’ collective expertise make it a crucial read for anyone looking to navigate the evolving landscape of AI responsibly and effectively. I am pleased to endorse this book.'

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    Tartalomjegyzék:

    Contents
    Preface xiii
    1 Road-mapping Generative AI (GenAI) and its impact: AI for
    whom and for what? 1
    Anna Visvizi, Igor Calzada, Krzysztof Kozłowski and
    Orlando Troisi
    PART I MULTIDISCIPLINARY INSIGHTS INTO AI AND
    GENAI: REGULATIONS, ETHICS, POLITICS
    2 Leveraging Generative AI for democracy: detection
    techniques of trust through decentralized Web3 ecosystems 18
    Igor Calzada
    3 Social acceleration, trust in AI, and their implications for
    quality of life in the digital era 35
    Pablo de-Gracia-Soriano, Francisco Javier Jiménez-Loaisa
    and Diana Jareño-Ruiz
    4 “LLMs like us?” AI’s understanding of emotions and its
    implications for regulatory frameworks 49
    Radosław Malik and Marcin Kozak
    PART II AI IN HIGHER EDUCATION SETTINGS
    5 AI-powered teamwork in higher education: a comprehensive
    systematic review of effectiveness and challenges 65
    Akinul Islam Jony, Sultanul Arifeen Hamim and Enric
    Serradell-López
    6 The role of artificial intelligence in shaping digital literacy:
    enhancing higher education through student interaction and
    pedagogical innovation 98
    Khodor Shatila and Ana Beatriz Hernández-Lara
    7 Redesigning education by unlocking the potential of
    Generative AI in academic learning 115
    Mario Testa, Maddalena Della Volpe, Antonio D’Amato and
    Adriana Apuzzo
    8 I can live without you, or … perhaps not? GenAI in business
    education 135
    Zane Varpina and Kata Fredheim
    PART III AI IN BUSINESS CONTEXTS
    9 Generative AI as a catalyst for EHR adoption: addressing
    challenges in Tanzanian healthcare 161
    Augustino Mwogosi
    10 Leveraging artificial intelligence for self-diagnosis systems:
    innovation in healthcare management 178
    Nicola Cobelli, Fabio Cassia and Marta Maria Ugolini
    11 Artificial intelligence as an enabler for data-driven
    management of climate-smart agricultural production 196
    Nathaniel Narra, Joni Kukkamäki, Olli Niemitalo, Otto
    Rosenberg and Iivari Kunttu
    12 AI-enhanced public speaking and its applications: a
    systematic literature review 220
    Radosław Malik and Yuanping Yu

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