Independent research · Sweden
Human knowledge in the age of AI
AI makes explicit knowledge scalable. Yet in use it remains dependent on human practices in which relevance, meaning and responsibility are formed. When organisations make that dependence invisible, they risk preserving the products of expertise while weakening the human capabilities, learning processes and institutional conditions behind it.
Our purpose
Research grounded in practice
Atlas Research develops a focused programme around AI, human practice and the institutional production of knowledge. We study what happens when organisations translate knowledge, language and judgement into data, prompts, rules and AI-supported workflows.
We combine philosophical analysis, interdisciplinary research and practical experiments. Our work centres on professional practice: who learns, who decides and who remains responsible when AI becomes part of everyday work.
Research programme
Three questions, pursued over time
01
AI and epistemic status
How does AI output acquire the status of evidence, knowledge and authority inside an organisation?
02
AI and human capability
When does AI support professional judgement and when does it weaken the practices through which judgement develops?
03
Epistemic systems in practice
How can methods, governance and technology preserve evidence, uncertainty and human responsibility?
From inquiry to application
One continuum, three distinct roles
Atlas Research
Investigates
Develops concepts, methods and commissioned studies around questions whose answers are not known in advance.
Atlas Labs
Builds and tests
Turns selected ideas into observable methods, research infrastructure and working prototypes.
Visit Atlas Labs →dBSC
Implements
Can translate Atlas work into organisational consulting, governance programmes, products, lectures and workshops.
Commissioned research
Bring us a question, not a predetermined answer.
Atlas works with knowledge-intensive and regulated organisations on questions about AI use, professional judgement, organisational knowledge and accountable research systems.
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