Summary of Time to Stop and Think: What Kind Of Research Do We Want to Do?, by Josu Ceberio et al.
Time to Stop and Think: What kind of research do we want to do?
by Josu Ceberio, Borja Calvo
First submitted to arxiv on: 13 Feb 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
GrooveSquid.com Paper Summaries
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper highlights the importance of coherent experimentation in artificial intelligence (AI) research. In a field where quantitative observations are crucial for hypothesis validation and reformulation, inadequate experimentation can lead to flawed conclusions. The authors emphasize that experiment design must align with the research objectives, addressing relevant questions to ensure robust findings. By showcasing the limitations of previous studies that prioritized supporting preconceived notions over rigorous investigation, this work underscores the need for methodologically sound experimentation in AI. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about making sure scientists do experiments correctly in artificial intelligence. They want to know how to make good experiments so they can get accurate results and come up with new ideas. The problem is that sometimes people don’t do their experiments right, which means the results aren’t trustworthy. The authors think it’s important to do experiments that answer the right questions and help us understand AI better. |
