Beyond Algorithms: Reframing AI as Intellectual Capital for Human Flourishing offers a clear, timely framework for viewing and analyzing AI as intellectual capital rather than as autonomous intelligence. AI is presented as a tool that helps organize, expand, and apply knowledge to support human decision-making, improve institutional effectiveness, and promote social progress. By situating AI as...
Read moreBeyond Algorithms: Reframing AI as Intellectual Capital for Human Flourishing offers a clear, timely framework for viewing and analyzing AI as intellectual capital rather than as autonomous intelligence. AI is presented as a tool that helps organize, expand, and apply knowledge to support human decision-making, improve institutional effectiveness, and promote social progress. By situating AI as capital within the broader view of capital development, the book offers a balanced perspective that avoids narratives that depict technology as either a savior or a threat.
Building on theories of capital, institutional economics, education research, and current AI research, the book introduces a six-capital framework: human, intellectual, structural, physical, financial, and ethical capital. This framework clarifies how AI transforms both profit-oriented and mission-driven organizations, where concepts such as productivity, accountability, and legitimacy are understood differently. The book explains why initial AI implementations often led to misalignment, risks, and vulnerabilities, and emphasizes that ethical capital, governance, and boundary-setting are vital for aligning AI with institutional goals. It offers practical guidance on aligning capital, AI governance, measurement, and decision-making. Additionally, Beyond Algorithms provides tools for assessing AI investments and organizational readiness in market and public-interest settings.
This book is intended for scholars, social scientists, advanced students, policymakers, technology practitioners, and business, education, government, and civil society leaders who seek a rigorous, accessible approach to AI that prioritizes human development, institutional integrity, and long-term value creation over short-term optimization.
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