Unverified50% confidenceFactExact time
The DSA requires platforms, when recommending based on user profiling, to disclose the main parameters that affect the recommendation results and to explain to users "why they are seeing this content", while also accepting external audits and risk assessments.
1
Sources
50%
Confidence
Long-term
Relevance
10/13/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedA good review interface should display the inputs the model actually relied on (such as highlighted passages, fields driving the score, and rules triggering escalation), turning validation from an investigation into something understood at a glance.70% similarUnverifiedWhen using uncensored models, users need to assess risks and compliance on their own; regulated or enterprise environments should prioritize the use of official versions.67% similarUnverifiedWhen evaluating such tools, users can focus on whether the service provider offers clear data retention descriptions, whether model inference is completed locally, and whether fine-grained permission revocation is supported67% similarUnverified学术界提出的「算法影响评估」机制参照环境影响评估思路，要求在系统上线前预先评估潜在社会风险66% similarUnverifiedBefore purchasing an AI visibility optimization tool, key evaluation criteria should include whether the monitored model coverage is comprehensive, whether the optimization recommendations are actionable, and whether the data reporting is transparent and credible.66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1020498API
curl https://kongchang.com/api/v1/knowledge/claims/1020498MCP
get_claim(id=1020498)