Top 5 AI News Articles - 27/12/2023

Apple Explores A.I. Deals With News Publishers: The tech giant is in talks with major news outlets for multi-year agreements worth at least $50 million to train its generative AI systems on their articles. This move aims to improve Apple's own AI offerings, particularly in areas like news summarization and content creation. (Source: The New York Times, https://www.nytimes.com/2023/12/22/technology/apple-ai-news-publishers.html)

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GPT Detectors Can Be Biased Against Non-Native English Writers: A study reveals that AI tools designed to detect text generated by GPT-3 models can unfairly target writers whose English is not their first language. This highlights the need for more inclusive and accurate AI detection methods. (Source: ScienceDaily, https://cointelegraph.com/news/scientists-created-artificial-intelligence-opinion-gpt-explicit-human-bias-test)

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AI & Big Data Expo: Ethical AI Integration and Future Trends: This recent event explored the challenges and opportunities surrounding ethical integration of AI and its potential impact on various sectors. Discussions focused on topics like bias mitigation, explainable AI, and responsible data governance. (Source: AI News, https://www.artificialintelligence-news.com/2023/12/18/ai-big-data-expo-ethical-ai-integration-future-trends/)

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Microsoft Offers to Match Pay of All OpenAI Staff: In a bid to attract and retain talent, Microsoft has made a generous offer to match the salaries of all employees at OpenAI, the research lab behind ChatGPT and other popular AI models. This move could further intensify the competition for skilled AI personnel. (Source: BBC News, https://www.bbc.co.uk/news/topics/ce1qrvleleqt)

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AI Expert Warns Against Telling Your Secrets to Chatbots: An expert on AI ethics reminds users to be cautious about sharing personal information with chatbots like ChatGPT, as their responses are generated based on vast datasets that may contain biases and harmful information. (Source: The Guardian, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4461801)