1.0Digital Sciencehttps://www.digital-science.comDavid Ellishttps://www.digital-science.com/blog/author/d-ellisdigital-science-com/The lone banana problem. Or, the new programming: “speaking” AI - Digital Sciencerich600338<blockquote class="wp-embedded-content" data-secret="PSZvrYPnsu"><a href="https://www.digital-science.com/blog/2023/06/the-lone-banana-problem-or-the-new-programming-speaking-ai/">The lone banana problem. Or, the new programming: “speaking” AI</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://www.digital-science.com/blog/2023/06/the-lone-banana-problem-or-the-new-programming-speaking-ai/embed/#?secret=PSZvrYPnsu" width="600" height="338" title="“The lone banana problem. Or, the new programming: “speaking” AI” — Digital Science" data-secret="PSZvrYPnsu" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script>
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https://www.digital-science.com/wp-content/uploads/2023/06/image1-3.jpg13781378The effects of new technology are seldom either solely positive or solely negative and, as such, there is a responsibility that sits with those that develop technology to consider how it will be used. Underlying that responsibility sits a need to deeply understand technology. The recent rise of Large Language Models (LLMs) and its rapid adoption begs many questions about whether we understand the technology and whether we understand how it will impact us at a cultural, societal, or economic level. When I have written before on this topic I have noted that it is not the large biases that are concerning to me, rather it is the subtle biases that are difficult to detect that I think should be of more concern. I found recently what I regard to be an excellent illustration of the phrase that I have chosen to describe the output of AI. I call this the ‘Lone Banana Problem’.