Artificial scientists
AI is being increasingly used in scientific research, with companies like Google DeepMind and OpenAI developing AI systems that can assist or even lead research projects. However, there are concerns that AI may reduce the diversity of scientific investigations.
AI has become a valuable tool in scientific research, assisting scientists in various ways such as pointing to relevant studies, drafting journal articles, and writing code. Companies like Google DeepMind and OpenAI are developing more advanced AI systems that can act as full members of a scientific team or even initiate research projects with limited human guidance. Google DeepMind's AlphaFold, which can predict protein structures, won the Nobel Prize in chemistry in 2024. OpenAI has launched a team devoted to AI for science and announced GPT-Rosalind, a specialized scientific model. Researchers are also integrating AI with experiment-running robots to test hypotheses. However, a recent Nature study found that AI may reduce the scope of scientific investigations, as it is particularly good at analyzing existing data sets and literature, potentially leaving fewer scientists to study less AI-friendly problems.
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