Artificial intelligence
This long-running series of articles looks at:
- artificial intelligence (AI) in relation to knowledge management (KM)
- KM in relation to AI.
Notable articles in the series include:
- Are you really doing enough to detect “botshit” in your AI-generated content?
- Integrating LLMs with local knowledge bases assists sustainability, but neglects tacit knowledge and complexity
- Troubling case highlights that the KM community lacks key capabilities needed for safe AI use
- Knowledge managers bring collectivity, nostalgia, and selectivity to AI
- Fallacies and tyrannies to avoid in Gen-AI implementation
- AI doesn’t really ‘learn’ – and knowing why will help you use it more responsibly
- AI-empowered knowledge management (KM) processes: what effects on decision-making?
- Integrating Global Standards for Human Knowledge and AI [MBRF Knowledge Summit Special Issue]
- The potential benefits of implementing the knowledge management and artificial intelligence ISO standards together
- Evolution of my concept mapping practice – what if it’s a building block in the AI revolution?
- The AI Risk Repository: A comprehensive database of risks from AI systems
- Two horror cases highlight the dangers of blind faith in what AI generates
- The risks associated with AI-generated content
- Tom Davenport sees significant potential for AI in BPM. What does this mean for knowledge management?
- Using artificial intelligence (AI) algorithms for expert identification
- How artificial intelligence can support knowledge management in organizations
- Will AI make managing knowledge more or less important?
- Interested in AI to improve your manufacturers’ performance and resilience? KM processes are what you need!
- Artificial intelligence (AI) and knowledge management (KM): two sides of the same coin?
Header image source: Gerd Altmann on Pixabay, Public Domain.
