Desafios da IA responsável na pesquisa científica

Abstract

Artificial intelligence is gaining prominence across every sector of science and technology. Leveraging AI technologies holds promise for boosting researchers’ productivity and cutting down on scientific research costs. However, concerns have emerged regarding the lack of transparency in AI tools, which may result in adverse outcomes like discrimination, scientific misinformation, and eroded public trust in science. This article delves into how research organizations are adopting responsible AI principles to mitigate potential negative effects on science.