ethics
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Core principles of responsible KM (rKM)
Developing the core principles of responsible knowledge management (rKM): Chapter 3 – Research framework
The study of rKM requires a framework that accommodates its conceptual complexity, interdisciplinary nature, and emergent status.
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Core principles of responsible KM (rKM)
Developing the core principles of responsible knowledge management (rKM): Section 2.8.2 – Post-normal science: ethics for complex systems
KM in this frame is about navigating interdependence, plurality, and responsibility.
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Core principles of responsible KM (rKM)
Developing the core principles of responsible knowledge management (rKM): Section 2.8 – Affirming life: systems thinking as ethical worldview
A reductionist, mechanistic worldview still dominates thinking in the human sciences, including KM.
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Core principles of responsible KM (rKM)
Developing the core principles of responsible knowledge management (rKM): Section 2.7 – The vacuum of ethics in KM: A marginalised concept
The decades-long preoccupation with organisational value has left the field of KM ethically and intellectually adrift.
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Core principles of responsible KM (rKM)
Developing the core principles of responsible knowledge management (rKM): Series overview
rKM is a new paradigm of KM that reorients value creation in organisations toward contributing to the common good.
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Artificial intelligence
Factors supporting and hindering effective human-AI collaboration in knowledge ecosystems
An integrative framework to assist organizations with the effective adoption of artificial intelligence (AI).
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Artificial intelligence
AI is changing the Dunning-Kruger Effect, with higher AI literacy correlating with overestimation of competence
Research findings reinforce the need for strategies that foster cognitive resilience and critical engagement with AI.
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Artificial intelligence
Four dimensions and five building blocks for responsible AI in knowledge management
Organizations, including KM organizations, should develop and implement AI strategies that have ethical and responsible AI at their core.
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Artificial intelligence
Strategies and recommendations for managing ethical considerations in the use of AI in KM
Addressing privacy, algorithmic bias, transparency, accountability, and fairness in the use of artificial intelligence (AI) in knowledge management (KM).
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ABCs of KM
Ignoring harm, saving face: strategies of non-knowledge and knowledge avoidance, and what they mean for KM
Non-knowledge and knowledge avoidance are acts of dark side knowledge management (KM), and worse than knowledge hiding.
