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“Beware of the Ideas of March” from Shakespeare’s Julius Caesar in high school always stuck with me. It’s meant to be a caution about people intending to do you harm. On this Ides of March, I thought it was appropriate to look at ways we all need to develop a new mindset on AI. Let’s be clear AI is already implemented in many ways (chatbots, recommender for movies, articles or restaurants or predictive models in healthcare, credit, hiring, child services, the judicial system, and more. Everyday life stuff ... large and small, but isn’t regulated enough to protect people or the environment. I'll discuss the first one today and others over the next few days. Big Money Deprioritizes Safety: There’s lots of money involved in AI from the cost of development all the way through to the potential money to be made by the companies involved. The rush to gain an advantage makes for less cautious approaches to AI. Consider how the rush releases of Microsoft’s Bing AI and Google’s Bard showcased these chatbots insisting incorrect information as fact. The factual mistake by Bard at its demo cost Google $100 billion in market value. (1) Microsoft laying off its Ethics and Society Team within its AI Team doesn’t show AI ethics concern while it rushes ahead with Bing AI. (2) o Yes, this is capitalism at work, but capitalism as currently practiced is has historical income equality… so big money shifts matter in who will gain the most and who will lose from AI. (1) https://lnkd.in/eYUAkd5i (2) https://lnkd.in/ey27vrek #ai #aiethics #dataprivacy #ethicaldesign
I help organizations improve online and offline experiences | UX Researcher | Service Designer | UX Designer | Speaker | Author | Ethical Research & Design | 3Q-DO NO HARM Framework| I ❣️Books & Libraries | Remote First
1yThe rush release of ChatGPT-4 is another example of "Big Money Deprioritizes Safety". Even ChatGPT-4's System Card (pg 18) states "One concern of particular importance to OpenAI is the risk of racing dynamics leading to a decline in safety standards, the diffusion of bad norms, and accelerated AI timelines, each of which heighten societal risks associated with AI. We refer to these here as "acceleration risk." With billions of dollars at stake, risks will continue to be deprioritized without public pressure and enhanced regulation. https://cdn.openai.com/papers/gpt-4-system-card.pdf