Developers Don't Fully Trust Generative AI—And That's a Problem.
Without trust, adoption stalls. According to our Global Development Survey Report 24.1, developers are most confident in generative AI's ability to provide up-to-date responses, likely due to frequent model updates. However, factual accuracy remains one of the least trusted aspects, with concerns about AI hallucinations and incorrect outputs limiting its reliability.
Trust levels also vary by region:
- APAC developers are most confident in AI's ability to protect intellectual property and user privacy, with over half strongly trusting these aspects.
- Latin American developers prioritize accuracy and fairness, placing the highest trust in unbiased responses.
- Developers in EMEA show the lowest overall trust, with at least 11% expressing distrust across all aspects of generative AI.
- North American developers are the most skeptical about AI's ability to protect intellectual property, with 22% expressing distrust—the highest of any region.
For AI providers, these insights are a clear signal: earning developer trust requires transparency, reliability, and customization. Without addressing these concerns, adoption will remain a challenge.
What would make you trust generative AI more?
#GenerativeAI #AITrust #DeveloperInsights #AIAdoption #TechIndustry
This information is from the Evans Data Corp. Global Development Survey Report available from Evans Data. One subscription brings an entire year's worth of fresh information from developers working in this area.
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