Kling AI · Kling AI Privacy Policy · View original document ↗

Facial Reference Image Processing (AI Generation)

High severity Unique · 0 of 343 platforms
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This analysis describes what Kling AI's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology

ConductAtlas Analysis

Why it matters (compliance & governance perspective)

The clause establishes the functional scope of the service's generative AI features, specifying that the platform processes facial and appearance reference data as inputs to produce generated images according to user-specified parameters.

Consumer impact (what this means for users)

Users may input facial reference images and appearance data to guide the platform's image generation process. The provision authorizes Kling AI to process these reference materials as functional inputs to its generative models.

How other platforms handle this

OpenAI Medium

Only models with a post-mitigation score of "medium" or below can be deployed. Only models with a post-mitigation score of "high" or below can be developed further.

Google Medium

Promoting privacy and security, and respecting intellectual property rights.

Tinder Medium

For information on how we process personal data through "profiling" and "automated decision-making", please see our FAQ.

See all platforms with this clause type →

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▸ View Original Clause Language DOCUMENT RECORD
"
Supports image generation of different models and aspect ratios, and supports complex and controllable generation of character feature references, appearance references, and general references.

— Excerpt from Kling AI's Kling AI Privacy Policy

Applicable regulations

EU AI Act
European Union
California AB 2013 AI Training Data Transparency
US-CA
Colorado AI Act
US-CO
EU AI Act - High Risk Provisions
EU
GDPR
European Union
Texas AI Act
Texas, USA
Trump Executive Order on AI Policy Framework
US

Provision details

Document information
Document
Kling AI Privacy Policy
Entity
Kling AI
Document last updated
May 5, 2026
Tracking information
First tracked
April 30, 2026
Last verified
May 9, 2026
Record ID
CA-P-004060
Document ID
CA-D-00499
Evidence Provenance
Source URL
Wayback Machine
Content hash (SHA-256)
df45b07e6ba976b9f32b6ddc96141fbbe8bc337a6b3cd132ee427603d1adab13
Analysis generated
April 30, 2026 05:43 UTC
Methodology
Evidence
✓ Snapshot stored   ✓ Hash verified
Citation Record
Entity: Kling AI
Document: Kling AI Privacy Policy
Record ID: CA-P-004060
Captured: 2026-04-30 05:43:29 UTC
SHA-256: df45b07e6ba976b9…
URL: https://conductatlas.com/platform/kling-ai/kling-ai-privacy-policy/facial-reference-image-processing-ai-generation/
Accessed: June 17, 2026
Permanent archival reference. Stable identifier suitable for legal filings, compliance documentation, and research citation.
Classification
Severity
High
Categories

Other risks in this policy

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Built from archived source documents, structured governance mappings, and historical version tracking.

Frequently Asked Questions

What does Kling AI's Facial Reference Image Processing (AI Generation) clause do?

The clause establishes the functional scope of the service's generative AI features, specifying that the platform processes facial and appearance reference data as inputs to produce generated images according to user-specified parameters.

How does this clause affect you?

Users may input facial reference images and appearance data to guide the platform's image generation process. The provision authorizes Kling AI to process these reference materials as functional inputs to its generative models.

Is ConductAtlas affiliated with Kling AI?

No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by Kling AI.