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Daily Dashboard | Op-ed: Should AI development be open source or limited? Related reading: Notes from the IAPP Canada Managing Director, 29 March 2024

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In an op-ed for the Financial Times, European Tech Correspondent Madhumita Murgia explores if artificial intelligence development should be fully open source or if there are ethical reasons to limit its accessibility. Currently, machine-learning models are released publicly for academic transparency, but there are concerns that publicly available source code could be misused to create “fake news,” spam or abuse. “Now is the moment for academics to step outside the research bubble and acknowledge that the software they write is changing people’s lives,” she writes. Meanwhile, Freedom House Senior Research Analyst on Democracy and Technology Allie Funk writes in an op-ed for The Hill the new policy requiring visa applicants to provide social media details on their petitions has serious implications for free expression and privacy. “This sort of data-gathering is susceptible to misinterpretation, especially if social media content is in languages other than English,” she writes. (Registration may be required to access this story.)
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