Feeding AI’s appetite for data
By 
Phillip Broadwith2026-09-22T14:12:00
Tapping companies’ archives makes for better predictions of how proteins bind drugs, but any data inputs need to be transparent and attributed
Recent headlines have been filled with accusations that artificial intelligence firm OpenAI may have used mathematicians’ unpublished work to produce solutions to long-standing high-profile mathematical problems. The lack of transparency from AI companies about how their models are trained, and their record of somewhat loose interpretations of intellectual property and copyright law, have created an atmosphere of suspicion that companies will need to work hard to escape.