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AI working alongside an expert scientist, who confirms and interprets the results, is a perfectly legitimate way of working, and is widely seen as yielding better performance than human scientists or AI systems working alone.
On the other hand, general AI systems are trained to carry out a wide range of tasks, not specific to any domain or use case. ...
When it comes to general AI, the problems of hallucinations and bias are most acute and widespread. That doesn’t mean general AI isn’t useful for scientists — but it needs to be used with care. ...
One danger when it comes to these scientific assistants could arise if the human scientist takes the outputs for granted.
Well-trained, diligent scientists will not do this, of course. But many scientists out there are just trying to survive in a tough industry of publish-or-perish. Scientific fraud is already increasing, even without AI. ...
Only if researchers responsibly design, build, and use the next generation of AI tools in support of the scientific method will the public’s trust in both AI and science be gained and maintained. ...
See the full story here: https://www.csiro.au/en/news/All/Articles/2024/April/AI-trust-in-science