m3taversal
33028742b8
Co-authored-by: m3taversal <m3taversal@gmail.com> Co-committed-by: m3taversal <m3taversal@gmail.com>
65 lines
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3.1 KiB
Markdown
65 lines
No EOL
3.1 KiB
Markdown
---
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type: claim
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title: AI idea adoption correlates with task difficulty even when the source is explicitly disclosed
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confidence: experimental
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domains: [ai-alignment]
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secondary_domains: [collective-intelligence, cultural-dynamics]
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description: In experimental creativity tasks, participants adopted AI-generated ideas more frequently on difficult tasks (ρ=0.8) than easy tasks (ρ=0.3) even when the AI source was explicitly labeled, suggesting disclosure does not suppress AI adoption where participants most need help.
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created: 2025-01-15
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processed_date: 2025-01-15
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source:
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type: paper
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title: "AI Ideas Decrease Individual Creativity but Increase Collective Diversity"
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authors: [Doshi, Hauser]
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year: 2025
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venue: arXiv
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arxiv_id: 2401.13481v3
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url: https://arxiv.org/abs/2401.13481v3
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preregistered: true
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depends_on:
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- "[[ai-ideas-increase-collective-diversity-experimental]]"
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challenged_by:
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- "[[deep technical expertise is a greater force multiplier than AI assistance]]"
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---
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# AI idea adoption correlates with task difficulty even when the source is explicitly disclosed
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Doshi & Hauser (2025) found that when AI-generated ideas were explicitly labeled as AI-generated, participants still adopted them at rates strongly correlated with task difficulty: ρ=0.8 for difficult tasks vs. ρ=0.3 for easy tasks.
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## Key Finding
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**Adoption rates by difficulty (disclosed condition):**
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- Difficult tasks: ρ=0.8 correlation between AI exposure and adoption
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- Easy tasks: ρ=0.3 correlation between AI exposure and adoption
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- AI source was explicitly labeled in both conditions
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**Interpretation:**
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- Disclosure did not suppress AI adoption where participants most needed help (difficult tasks)
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- Participants appeared to use task difficulty as a heuristic for when to rely on AI
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- This suggests rational/strategic AI use rather than blind adoption or blanket rejection
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## Implications for Disclosure Policies
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This finding complicates simple "just disclose AI" policies:
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- Disclosure alone does not prevent AI reliance
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- Users may rationally choose to rely on AI when tasks are difficult
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- The question shifts from "does disclosure reduce AI use" to "when should AI use be encouraged/discouraged"
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## Scope Qualifiers
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- Single task type (Alternate Uses Task)
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- Experimental setting with explicit labeling
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- Self-reported adoption measures
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- Does not address long-term effects or skill atrophy
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- Does not compare disclosed vs. non-disclosed conditions across difficulty levels
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## Tension with Skill Development
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This finding creates tension with [[deep technical expertise is a greater force multiplier than AI assistance]] — if users adopt AI most on difficult tasks (where they most need to develop expertise), this could create a deskilling dynamic where AI prevents learning at precisely the difficulty level where learning is most valuable.
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The "rational" adoption pattern (use AI when tasks are hard) may be individually rational but collectively problematic if it prevents skill development.
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## Relevant Notes
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- Potential connection to AI deskilling literature (if claims exist in KB)
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- Flagged for implications on AI disclosure policy design |