'AI can’t do our jobs yet, but it might be able to soon. And people whose jobs are threatened by AI will be the same people who produced the data used to train it,' the Hollywood actor argued in a Washington Post op-ed.
But he argued the case for residual payments for work that trains AI tools also applies to the wider economy, with Hollywood writers and actors only serving as the canaries in the coal mine on the issue of generative AI tools impacting jobs worldwide. “The seemingly miraculous outputs of generative AI should not be allowed to fill the coffers of tech giants or any other giants without paying the people whose data made those outputs possible,” the op-ed stated.
“This principle holds true whether we’re talking about entertainers, doctors, engineers or pretty much anyone whose work involves a computer. AI can’t do our jobs yet, but it might be able to soon. And people whose jobs are threatened by AI will be the same people who produced the data used to train it. A new kind of residuals for these human data producers could potentially provide some much-needed economic relief,” he wrote.
“Technologically speaking, the type of residuals program I have in mind would be a tall order. An AI system would have to track every piece of its training data, and then be able to determine which of those pieces influenced any given output generated and to what degree. On top of that, each of those pieces of data would have to be attributed to a verified human or set of humans, and there would need to be a channel of payment for those humans to receive their residuals,” he added in the op-ed.
That includes AI-driven movies using digital data culled online from past movies created by Hollywood and elsewhere. “Therefore, anytime this AI yields revenue, the people who made those past movies will deserve a substantial piece,” the op-ed stated.
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