Humans could be replaced by AI: Study
Researchers found 'AI (particularly large language models, or LLMs) may alter the nature of their work.
The study was published in Journal, 'Science.'
Grossmann and colleagues observed that large language models trained on massive amounts of text data are becoming more capable of simulating human-like responses and behaviour. This opens up new avenues for testing theories and hypotheses about human behaviour at unprecedented scale and speed.
"What we wanted to explore in this article is how social science research practices can be adapted, even reinvented, to harness the power of AI," said Igor Grossmann, professor of psychology at Waterloo.
Traditionally, social sciences rely on a range of methods, including questionnaires, behavioural tests, observational studies, and experiments. A common goal in social science research is to obtain a generalized representation of the characteristics of individuals, groups, cultures, and their dynamics. With the advent of advanced AI systems, the landscape of data collection in social sciences may shift.
"AI models can represent a vast array of human experiences and perspectives, possibly giving them a higher degree of freedom to generate diverse responses than conventional human participant methods, which can help to reduce generalizability concerns in research," said Grossmann.
"LLMs might supplant human participants for data collection," said UPenn psychology professor Philip Tetlock, adding, "In fact, LLMs have already demonstrated their ability to generate realistic survey responses concerning consumer behaviour. Large language models will revolutionize human-based forecasting in the next 3 years. It won't make sense for humans unassisted by AIs to venture probabilistic judgments in
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