Beyond the Algorithm (Paperback)
Michael Torrence
Sold by Grand Eagle Retail, Bensenville, IL, U.S.A.
AbeBooks Seller since October 12, 2005
New - Soft cover
Condition: New
Ships within U.S.A.
Quantity: 1 available
Add to basketSold by Grand Eagle Retail, Bensenville, IL, U.S.A.
AbeBooks Seller since October 12, 2005
Condition: New
Quantity: 1 available
Add to basketPaperback. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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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.
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