responsible AI
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Artificial intelligence
AI resources update: 1. Guidance for Risk Management of AI systems | 2. AI Risk Mitigation Taxonomy
Two new resources to assist the implementation of ethical and responsible AI in KM.
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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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Insights
Bruce Boyes: KM is real, interview with Ana Neves
As we move into 2026 from RealKM Magazine's 10th anniversary year in 2025, a big thank you to Ana Neves…
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Artificial intelligence
Responsible AI case study: integrating advanced language models with validation by domain experts
A law resources case study supports the need for 'humans in the loop' to validate AI outputs before they're used.
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Artificial intelligence
Bruce Boyes’ presentation to KM Trends 2026: Two very different scenarios for AI in KM
One scenario for the future of AI in KM presents a bad outcome, and the other a good outcome.
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Brain power
Why students struggle to use AI responsibly
Educators must do more than provide instructions – they need to engage students in responsible AI use.
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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
AI resources update: 1. PwC 2025 Responsible AI survey | 2. ISO/IEC 42001 guide for business | 3. Architectures of Global AI Governance
Three further resources that can assist the implementation of ethical and responsible AI in KM.
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Artificial intelligence
Case studies in the unethical and irresponsible use of AI
Case studies of failing to detect "botshit" in AI-generated outputs and breaching the privacy of vulnerable people.
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Artificial intelligence
AI resources update: 1. AI Incident Database | 2. The Geopolitics of AI
Two resources that are important considerations in the use of AI in knowledge management (KM).
