Kirjahaku

Global competition for human capital, organizational relevance, money, and success is increasingly denominated in the currency of knowledge, yet knowledge in most organizations is often treated as proprietary or information technology issues. Consequently, leaders must become skilled in leading with and through knowledge in order to succeed in the new economy. Challenges for leaders today are myriad and often seem overwhelmingly complex, but solutions begin with basics such as understanding how to: acquire needed competitive knowledge and capital, use knowledge to produce lasting results, build an organization that is aligned with mission, and improve decision-making. This book describes the process of knowledge leadership and highlights effective tools for all leaders to be successful. Knowledge leadership is the new tool of the leadership trade. Learn to use knowledge wisely.

Beyond Algorithms: 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.

Beyond Algorithms: 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.