Unverified50% confidenceOpinionExact time
The project offers inspiration for AI product design: in terms of transparency, letting users see how data affects the model can enhance trust; in terms of participation, the paid teaching mechanism turns users into co-builders; in terms of education, it explains the principles of AI learning in an intuitive way.
1
Sources
50%
Confidence
Long-term
Relevance
10/31/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe course emphasizes that its core value lies in helping learners build AI product thinking and a methodology for structured applications.79% similarUnverifiedAI-assisted outputs should clearly indicate the manner in which they were generated and the degree of model involvement (transparency requirement).78% similarUnverified研究表明当用户能够理解AI的行动意图时，其对系统的信任度和审批决策质量都会显著提升，这是可解释AI（XAI）领域的核心关切76% similarUnverifiedFor an AI video product whose generation results are highly uncertain, the core task of the first version is to build users' trust in the predictability of results, not to showcase capability boundaries.74% similarUnverifiedThe study aims to understand users' real experiences with AI, the role they hope AI will play in their personal lives and the world, and what they want from the companies building AI.74% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1118925API
curl https://kongchang.com/api/v1/knowledge/claims/1118925MCP
get_claim(id=1118925)