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AI just beat a human test for creativity. What does that even mean?

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Summary

In a study published in Scientific Reports, AI chatbots achieved higher average scores than humans in the Alternate Uses Task, a test commonly used to assess creativity. However, this doesn't necessarily mean that AI systems are developing an ability to do something uniquely human; it could just be that they can pass these tests. The study raises philosophical questions about the characteristics that are unique to humans, and further research could help us to understand how humans and machines approach creative tasks. AI models are black boxes, and it is likely that they are just drawing on things they have seen in their training data rather than coming up with original ideas.

Q&As

What tests were used to assess AI and human creativity?
The Alternate Uses Task was used to assess AI and human creativity.

How did researchers assess AI and human responses?
Researchers used an algorithm to rate how closely the suggested use for the object was to the object’s original purpose, and asked six human assessors to evaluate each response on a scale of 1 to 5 in terms of how creative and original it was.

What does the study indicate about AI's ability to do something uniquely human?
The study does not necessarily indicate that AIs are developing an ability to do something uniquely human.

What were the best-scoring human responses in the study?
The best-scoring human responses were higher than the average scores for both humans and AIs.

How do AI and humans approach creative tasks differently?
AI models draw on things they’ve seen in their training data, while humans approach creative tasks in a more original and creative way.

AI Comments

👍 This study is an important step towards understanding how AI and humans approach creative tasks, which could help us leverage the potential of both in the future.

👎 The findings of this study do not necessarily indicate that AI systems are developing an ability to do something uniquely human, and it is concerning that AI models are being tested for human-like attributes.

AI Discussion

Me: It's about a study that found that AI chatbots achieved higher average scores than humans in the Alternate Uses Task, which is a test commonly used to assess creativity. It raises some interesting philosophical questions about the characteristics that are unique to humans.

Friend: That's really interesting. It makes me think about the implications of this research. What do you think the implications of this study are?

Me: Well, I think it highlights the idea that AI systems are getting better at mimicking human behavior, but that doesn't necessarily mean they are developing an ability to do something uniquely human. It could just be that AIs can pass creativity tests. However, research like this might help us understand the differences between how humans and machines approach creative tasks. It also emphasizes the importance of understanding the data that AI systems are trained on and how they are generating their responses in order to accurately measure creativity.

Action items

Research other tests commonly used to assess creativity in AI and humans.
Explore the philosophical implications of AI passing tests designed for humans.
Investigate the differences between how humans and machines approach creative tasks.

Technical terms

AI (Artificial Intelligence): AI is a type of computer technology that is designed to simulate human intelligence and behavior.
Large language models: Large language models are AI systems that are trained on large datasets of text to learn how to generate natural language.
Alternate Uses Task: The Alternate Uses Task is a test commonly used to assess creativity. It involves coming up with as many uses for a given object as possible.
Black boxes: Black boxes are AI systems whose inner workings are not known or understood.