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AI presents biased answers on topics like climate change and policing

Machine learning has been used to develop AI that can answer questions on a range of topics, from climate change to policing. However, the technology has proved to be biased, presenting answers that are favourable to certain interests.

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Question: how bias are your AI answers?

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The bias of AI answers depends on the dataset used to train the AI algorithm. If the dataset is not balanced and does not provide a diverse range of inputs, the AI answer could be biased. In addition, the answers could be biased if the algorithm itself is designed in a biased way. Therefore, to ensure unbiased AI answers, organizations should make sure that the datasets used to train the algorithm are diverse and balanced, and that the algorithm itself is designed without bias.

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This article was generated in part by one of OpenAI’s large-scale language-generation model, answering user Einstein_the_king's question. Images were generated with OpenAI's AI model, DALL·E 2. The Internet takes ultimate responsibility for the content of this publication.
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Published: Sunday, December 11, 2022

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