Many discussions about AI anthropomorphize the technology, implicitly suggesting these systems exhibit human-like intent, agency, or self-awareness. The complexity of black-box AI systems can make it hard for researchers and the broader public to understand what’s happening under the hood, and what the impacts of these tools on society will be. Are we going to get automated out of jobs? How are we going to preserve the human aspect of creativity with all of these new technologies? This raises a lot of fundamental questions about the creative process and the human’s role in creative production. MIT News spoke with Epstein, the lead author of the paper.Ī: Generative AI tools are doing things that even a few years ago we never thought would be possible. The paper’s MIT-affiliated co-authors include Media Lab postdoc Ziv Epstein SM ’19, PhD ’23 Matt Groh SM ’19, PhD ’23 PhD students Rob Mahari ’17 and Hope Schroeder and Professor Alex "Sandy" Pentland. Today a group of 14 researchers from a number of organizations including MIT published a commentary article in Science that helps set the stage for discussions about generative AI’s immediate impact on creative work and society more broadly. Popular generative AIs like the chatbot ChatGPT generate conversational text based on training data taken from the internet. One such technology is generative AI, which can create content including text, images, audio, and video. But speculation about where AI technology is going, while important, can also drown out important conversations about how we should be handling the AI technologies available today. The rapid advance of artificial intelligence has generated a lot of buzz, with some predicting it will lead to an idyllic utopia and others warning it will bring the end of humanity.
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