Question 1

Does this cover EU AI Act compliance?

Accepted Answer

PolicyForge provides EU AI Act compliance prompts for role and risk screening, Article 50 transparency notices, technical-documentation topics, and human-oversight disclosures. A privacy policy is only one part of AI Act compliance, and not every duty belongs in a public policy. Validate the system classification, operator role, current Commission guidance, and operational controls before publishing.

Question 2

How does it handle training data disclosures?

Accepted Answer

PolicyForge asks about training-data sources and provenance, processing methods, lawful basis or permissions, user choices, retention, and relevant copyright considerations. It drafts from the facts supplied; it does not assume consent, an opt-out right, fair use, or another legal basis exists.

Question 3

What about automated decision-making disclosures?

Accepted Answer

The questionnaire covers automated decision-making and profiling topics relevant to GDPR Article 22 and related transparency duties, plus prompts for US state-law review. The exact rights and disclosures depend on whether the decision is solely automated, its effects, the business role, the jurisdiction, and any exception.

Question 4

Does it address model transparency requirements?

Accepted Answer

The generated draft can describe the model types, inputs and outputs, known limitations, evaluation information supplied by the business, and how outputs affect people. Only include bias, confidence, or performance statements that your team can substantiate.

Question 5

How does it handle AI-generated content disclosures?

Accepted Answer

PolicyForge can draft Article 50 review prompts and notices for specified AI interactions and generated or manipulated content. Scope, exceptions, machine-readable marking, and deployer disclosure duties differ by content and role; the workflow does not assume every text, image, audio, video, or code output has the same obligation.

Question 6

Does it include bias and fairness documentation?

Accepted Answer

The workflow can organize the bias testing, metrics, impact assessments, remediation, and monitoring measures the business actually performs. It will not claim those controls exist unless they are confirmed, and a public policy does not replace any separate risk-management or impact-assessment duty.

Question 7

Can it cover open source AI models?

Accepted Answer

PolicyForge can record an open-source model, its stated license, upstream provider, fine-tuning facts, model-card references, and interaction with proprietary components. Your team still needs to verify the exact model version, current license, acceptable-use terms, attribution, and any AI Act open-source exception or GPAI duty.

Question 8

What about fine-tuned models?

Accepted Answer

PolicyForge provides prompts for fine-tuned models: base-model provenance, dataset descriptions and consent, performance changes, new capabilities or limitations, and differences from the base model. Confirm the resulting disclosures and any additional obligations for the model and use case; documentation alone does not ensure compliance.

Question 9

How does it handle API usage data?

Accepted Answer

The questionnaire asks what API request or response data is logged, how long it is kept, whether inputs train or improve models, where processing occurs, and which providers receive the data. The resulting disclosure is only as accurate as those confirmed product and vendor facts.

Question 10

Does it address cross-border AI data transfers?

Accepted Answer

PolicyForge includes prompts for international-transfer disclosures relevant to AI companies, including SCCs, localization, cross-border training data, model deployment, and adequacy decisions. Your team must identify the actual transfer, select and execute any required mechanism, and validate the final language for the EU, UK, US, and other locations involved.

Privacy Policy for AI Companies

AI Companies Face Unique Privacy Challenges

Training Data Governance

Automated Decision-Making

Model Transparency

EU AI Act penalties are among the highest in tech regulation

EU AI Act Compliance Workflow

Unacceptable Risk

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AI-Specific Disclosures

Training Data Sources

Automated Decision-Making Logic

Profiling & User Impact

Model Card Information

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