Summary of Evidence Of Cognitive Deficits Anddevelopmental Advances in Generative Ai: a Clock Drawing Test Analysis, by Isaac R. Galatzer-levy et al.
Evidence of Cognitive Deficits andDevelopmental Advances in Generative AI: A Clock Drawing Test Analysis
by Isaac R. Galatzer-Levy, Jed McGiffin, David Munday, Xin Liu, Danny Karmon, Ilia Labzovsky, Rivka Moroshko, Amir Zait, Daniel McDuff
First submitted to arxiv on: 15 Oct 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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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 study investigates the ability of several generative AI (GenAI) models to perform on the Clock Drawing Test (CDT), a neuropsychological assessment of visuospatial planning and organization. While GenAI models can create clock-like drawings, they struggle with accurate time representation, mirroring mild-severe cognitive impairment. GPT 4 Turbo and Gemini Pro 1.5 scored like healthy individuals, while Sonnet 3.5 excelled in a follow-up clock-reading test. The findings highlight strengths in learned knowledge but weaknesses in reasoning, potentially reflecting visual-spatial understanding, working memory, or calculation deficits. This research is crucial for understanding AI’s cognitive capabilities and guiding development toward human-like functions. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This study looks at how well some special computer programs called generative AI can do a test that shows how well people plan and organize visually. The AI programs can draw clocks, but they’re really bad at telling the correct time. Some of them did better than others, but still didn’t do as well as healthy humans. This research helps us understand what these computer programs are good or bad at, and how we can make them better. |
Keywords
» Artificial intelligence » Gemini » Gpt
