We discuss some possible consequences, risks, and paradoxes of the use of AIs in research, such as potential deterioration of research integrity, possible changes in the dynamics of knowledge production and center-periphery relations in the academic environment. We concluded by calling for an in-depth dialog on regulation and the creation of technologies adapted to our needs. … Read More →
Artificial Intelligence and research communication
Are chatbots really authors of scientific articles? Can they be legally responsible, make ethical decisions? What do scientific societies, journal editors and universities say? Can their results be included in original scientific articles? Based on recent contributions hereby presented, we’ll be publishing posts that will try to answer these questions and any new ones that arise. … Read More →
GPT, machine translation, and how good they are: a comprehensive evaluation
Generative artificial intelligence models have demonstrated remarkable capabilities for natural language generation, but their performance for machine translation has not been thoroughly investigated. A comprehensive evaluation of GPT models for translation is presented, compared to state-of-the-art commercial and research systems, including NMT, tested with texts in 18 languages. … Read More →
It takes a body to understand the world – why ChatGPT and other language AIs don’t know what they’re saying [Originally published in The Conversation in April/2023]
Large language models can’t understand language the way humans do because they can’t perceive and make sense of the world. … Read More →
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