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      <image:title>Posts - Why AI needs Phase 4 trials - Make it stand out</image:title>
      <image:caption>Examples of Microsoft’s 2016 AI social bot ‘Tay’ and its safety issues</image:caption>
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      <image:title>Posts - Why AI needs Phase 4 trials - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
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      <image:title>Posts - Why AI needs Phase 4 trials - Make it stand out</image:title>
      <image:caption>AI safety issues in deployed models can inform the model, future tests and training data</image:caption>
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      <image:title>Posts - Why AI needs Phase 4 trials - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/610ba0c934731402fc5be1d8/6ad5931f-1133-43a7-9e82-88bedf23d184/Screenshot+2023-07-30+at+19.12.10.png</image:loc>
      <image:title>Posts - Why AI needs Phase 4 trials - Make it stand out</image:title>
      <image:caption>A section of the MedWatch reporting form from 1993</image:caption>
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      <image:title>Posts - Why AI needs Phase 4 trials - Make it stand out</image:title>
      <image:caption>The UK’s Yellow Card reporting site, a replication of the MedWatch programme.</image:caption>
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      <image:title>Posts - Why AI needs Phase 4 trials - Make it stand out</image:title>
      <image:caption>ChatGPT’s subtle, brand-friendly warnings (right)</image:caption>
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      <image:title>Posts - Why AI needs Phase 4 trials - Make it stand out</image:title>
      <image:caption>Examples of drug warning labels that are designed for noticeability and interpretability</image:caption>
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      <image:title>Posts - Why AI needs Phase 4 trials - Make it stand out</image:title>
      <image:caption>A graph of the most common tests of AI models by crowdsourced red teamers, showing they tend to focus more on some harms than others, which may also be the case for Phase 4 trials without adequate education (source: https://arxiv.org/pdf/2209.07858.pdf)</image:caption>
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      <image:title>Home - Tommy is a researcher, technologist and policy advisor specialising in frontier AI safety and security. He is currently a Senior AI Policy Manager at the Centre for Long Term Resilience. Previously he led the development of a £10m AI platform for the UK government, which deployed novel ML techniques to analyse online disinformation. Prior to this, he was Head of Policy at the non-profit First Draft, where he led and consulted on projects with WHO, Stanford University, Unicef, UN, Google and Partnership on AI. He is currently completing a PhD on AI safety incidents, and how they have transformed the development of AI systems from 2012 to the present day.</image:title>
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