Beyond the Algorithm : Human-Centered Systems for AI, Learning, and Global Trust

Michael Torrence

ISBN 13: 9798295452260

Editore: Michael Torrence, Phd, 2025

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nach der Bestellung gedruckt Neuware - Printed after ordering - In Beyond the Algorithm, Dr. Michael Torrence advances the conversation on artificial intelligence from innovation and adoption to stewardship, governance, and trust. Building on earlier explorations of AI-enabled learning and workforce systems, this work confronts the responsibilities that arise once technological infrastructures are no longer experimental but embedded in daily life, institutions, and global networks.Through a series of analytically rigorous yet accessible essays, Dr. Torrence examines how human-centered design, ethical governance, and community accountability must shape the next decade of AI integration. He explores the obligations institutions have to learners, workers, and communities who did not choose technological disruption but are nonetheless affected by it, emphasizing proportionality, equity-by-design, and the necessity of keeping humans meaningfully 'in the loop' of high-stakes decision-making.The book delves deeply into the evolution of credentialing systems, interoperable learning networks, and AI-enhanced education and workforce pathways, arguing that trust-not efficiency alone-must be the defining metric of success. Dr. Torrence interrogates how governance structures, transparency, privacy, and accountability can either reinforce or erode public confidence as AI systems scale across sectors and borders.Ultimately, Beyond the Algorithm presents a forward-looking framework for leading in an AI-mediated world-one grounded not in technological determinism, but in stewardship, human judgment, and shared responsibility. It calls educators, policymakers, industry leaders, and communities to move beyond asking what AI can do, toward a deeper commitment to how it should be governed, for whom it should work, and what kind of future it is shaping.

Codice articolo 9798295452260

Dati bibliografici

• Titolo: Beyond the Algorithm : Human-Centered Systems for AI, Learning, and Global Trust
• Editore: Michael Torrence, Phd
• Data di pubblicazione: 2025
• Lingua: Inglese
• ISBN 13: 9798295452260
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 254 L x 178 A x 9 P (millimetri) 254 millimetri di larghezza per 178 millimetri di altezza per 9 millimetri di profondità
• Peso: 389 grammi

Descrizione articolo

Riassunto

In Beyond the Algorithm, Dr. Michael Torrence advances the conversation on artificial intelligence from innovation and adoption to stewardship, governance, and trust. Building on earlier explorations of AI-enabled learning and workforce systems, this work confronts the responsibilities that arise once technological infrastructures are no longer experimental but embedded in daily life, institutions, and global networks.

Through a series of analytically rigorous yet accessible essays, Dr. Torrence examines how human-centered design, ethical governance, and community accountability must shape the next decade of AI integration. He explores the obligations institutions have to learners, workers, and communities who did not choose technological disruption but are nonetheless affected by it, emphasizing proportionality, equity-by-design, and the necessity of keeping humans meaningfully "in the loop" of high-stakes decision-making.

The book delves deeply into the evolution of credentialing systems, interoperable learning networks, and AI-enhanced education and workforce pathways, arguing that trust-not efficiency alone-must be the defining metric of success. Dr. Torrence interrogates how governance structures, transparency, privacy, and accountability can either reinforce or erode public confidence as AI systems scale across sectors and borders.

Ultimately, Beyond the Algorithm presents a forward-looking framework for leading in an AI-mediated world-one grounded not in technological determinism, but in stewardship, human judgment, and shared responsibility. It calls educators, policymakers, industry leaders, and communities to move beyond asking what AI can do, toward a deeper commitment to how it should be governed, for whom it should work, and what kind of future it is shaping.