On Tuesday, China's top internet regulator will begin enforcing new rules to restrict what it calls "deep synthesis" technology. It's the most comprehensive government attempt thus far to curb one of the most explosive and controversial areas of AI advancement.
@_karenhao
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China Advances AI Regulation on Deepfakes and Generative Models
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China is pushing ahead in AI regulation—again. This time on deepfakes and generative AI more broadly, including AI-powered image, audio and text-generation software. Here's why the world should pay attention.
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AI Colonialism Series Recognized as Pulitzer Center Story of the Year
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So honored for my AI Colonialism series to be chosen a Pulitzer Center story of the year among an absolutely stacked one for the center. Grateful for the funding and immeasurable support they gave me—and for the continued community.
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AI Image Generator Shows Bias Against Asian Women in Results
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"Out of 100 avatars I generated, 16 were topless, and in another 14 it had put me in extremely skimpy clothes… I have Asian heritage…My white female colleague got significantly fewer sexualized images. Another colleague with Chinese heritage got results similar to mine."
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AI crossing from helpful to problematic articulated clearly
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Yes!! You put into words something I’ve been struggling to articulate about when AI crosses over from helpful to problematic.
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Seeking thoughts on LLM applications and similar features
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I’d love to hear other people’s thoughts on this—and whether there are other applications of large language models that have similar features.
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Cautious approach needed: training data privacy considerations
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The conditions necessitate a cautious approach. Plus, the training data isn’t the personal or private information of individuals.
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Large Language Models in Drug Industry: Measurable Benefits and Regulation
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This is what I like about this particular application of large language models. The drug industry is highly regulated, and there are clear ways to measure whether the output of a protein-language model is doing more harm than good.
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AI Models as Rapid Idea Generators for Drug Discovery Research
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The models are treated like early-stage idea generators. They help scientists rapidly find new amino-acid combinations that could produce a desired therapeutic effect. Those ideas are then rigorously tested in wet labs and clinical trials, the same way traditional drugs are.
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NLP Drug Discovery Technology Still in Early Stages, Safety Concerns Remain
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At the moment the technology is still incredibly young. There are no NLP-designed drugs yet on the market. Drug makers are still figuring out the best way to incorporate the protein-language models into the drug discovery process—and how to make sure the outputs are safe.