#SocialSciences #STS #AI: "How much time should practitioners put into training a model to do the work that they normally do? At what scale of AI adoption does all of this time become an appropriate return on their investments of efforts? Is it reasonable for us to imagine that in the future people will speak with a chatbot first, before talking to a human practitioner? Each profession will have to work through these questions. They will have to manage the scale at which models can align with their practice and who gets left behind in this transformation.

Thinking like a sociotechnical researcher requires that we grapple with these choices. It requires us to cut through the arguments about the inevitability of AI. When we start paying attention to how we make choices about AI, we are all thinking like sociotechnical researchers.

We can ask: What does a given application of AI mean for us as individuals? What does it mean for the communities we identify with? What does it mean for the work we do; for our professions; for our culture; for our places; for our countries; for the world we inhabit; and for the other species that we share our planet with?"

https://datasociety.net/points/how-to-think-like-a-sociotechnical-researcher/