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1,212 claims from 763 papers are on the record. 44 have been checked so far; the other 1,168 have no check with a result yet.

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Keyword: artificial intelligence in education ×Clear all

3 claims from 2 papers

1. Computer Science › Artificial Intelligence in Education

   ChatGPT for good? On opportunities and challenges of large language models for education

   Kasneci, Seßler, Küchemann et al. · Learning and Individual Differences · 2023

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   1. UncheckedThe authors believe that, if handled sensibly, the challenges of AI tools can help students learn early about AI's societal biases and risks.“But we believe that, if handled sensibly, these challenges can offer insights and opportunities in education scenarios to acquaint students early on with potential societal biases, criticalities, and risks of AI applications.”

2. Social Sciences › Ethics and Social Impacts of AI

   On the Opportunities and Risks of Foundation Models

   Bommasani, Hudson, Adeli et al. · arXiv (Cornell University) · 2021

   A report setting out the opportunities and risks of foundation models, AI models trained on broad data at scale and adaptable to many tasks, covering their capabilities, technical principles, applications and societal impact.

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   1. UncheckedBuilding many AI systems on one shared foundation model gives strong leverage, but any flaws in that model pass on to every system adapted from it.“Homogenization provides powerful leverage but demands caution, as the defects of the foundation model are inherited by all the adapted models downstream.”
   2. UncheckedThe paper says foundation models use standard techniques, but their scale brings new emergent abilities and their wide usefulness encourages homogenization.“Though foundation models are based on standard deep learning and transfer learning, their scale results in new emergent capabilities,and their effectiveness across so many tasks incentivizes homogenization.”