Microsoft Explores AI Training Data Attribution to Credit and Compensate Creators
Lloyd
Microsoft Explores AI Training Data Attribution to Credit and Compensate Creators
Microsoft is launching a research project to estimate the influence of specific training examples on the text, images, and other types of media that generative AI models create. Image:JASON REDMOND / AFP / Getty Images That’s per a job listing dating back to December that was recently recirculated on LinkedIn. According to the listing, which seeks a research intern, the project will attempt to demonstrate that models can be trained in such a way that the impact of particular data — e.g. photos and books — on their outputs can be “efficiently and usefully estimated.” “Current neural network architectures are opaque in terms of providing sources for their generations, and there are […] good reasons to change this,” reads the listing. “[One is,] incentives, recognition, and potentially pay for people who contribute certain valuable data to unforeseen kinds of models we will want in the future, assuming the future will surprise us fundamentally.” AI-powered text, code, image, video, and song g…
