Tag: human-ai-collaboration
6 items with this tag.
Sanctuary strategies
Sanctuary strategies are common responses to AI in health professions practice and education, among them denial, retreat, restriction, and resignation. Each stakes professional value on what AI can't yet do, or on keeping it out.
Distributed cognition
Distributed cognition is the idea that thinking happens across people, the tools they use, and the settings they work in, as well as inside individual heads. In healthcare it describes reasoning shared between clinicians, patients, records, and increasingly AI systems, and it shifts the question from what one clinician knows to how well the whole system thinks.
When agents start making decisions that influence outcomes
Two stories about AI agents making their own choices, and a much smaller project of mine that's seeing the same pattern.
What we add when AI does it better
Reflecting on a question and possible response arising while writing a book on AI and doctoral research. Reid Hoffman got to a similar place from a different direction, by way of an artist who trains robots on their own drawings. Plus a tool I've built for putting a professional portfolio together, and three reads on how skill actually forms.
Transform documents with AI
Language models can transform documents into interactive tools in minutes. This post walks through a concrete example, turning a 21-page Word questionnaire into a working web app, and reflects on what that capability makes possible.
Context sovereignty
What is context sovereignty? The idea that people should own and author the context they bring to AI (their values, commitments, and ways of making sense of things) so that AI adapts to their thinking. How it differs from data sovereignty and model memory, its three principles, and what it means for students and educators.