AI Policy

At gr0.ai, we are committed to developing and deploying artificial intelligence responsibly. This policy outlines how we build, train, and use AI systems in our marketing automation solutions, and the principles that guide our approach.

AI-Generated Content Disclosure: We believe in transparency about AI involvement in content creation:

• All AI-generated content is clearly labeled when required by platform policies or regulations
• We provide clear documentation about which processes involve AI assistance
• Clients receive full visibility into how AI is used in their campaigns
• We never misrepresent AI-generated content as human-created when disclosure is required

Model Information: We maintain transparency about the AI models we use:

• Documentation of which AI providers and models power our services
• Clear communication about model capabilities and limitations
• Notification of significant changes to AI systems that may affect outputs

Training Data: We take data privacy seriously in our AI operations:

• Client data is never used to train public AI models without explicit consent
• Custom models trained on client data remain the property of the client
• We use data minimization principles ; only collecting what is necessary
• All training data is handled in compliance with GDPR, CCPA, and applicable regulations

Data Processing: When AI processes your data:

• Data is encrypted in transit and at rest
• We maintain strict access controls and audit logs
• Third-party AI providers are vetted for security compliance
• Data retention periods are clearly defined and enforced

Human-in-the-Loop: We maintain meaningful human oversight of AI systems:

• Critical decisions always involve human review before execution
• Automated actions have configurable approval workflows
• Clients can set thresholds for when human review is required
• Our team monitors AI outputs for quality and appropriateness

Override Capabilities: Humans always have the final say:

• All automated processes can be paused or stopped immediately
• AI recommendations can be overridden at any point
• Clients have full control over what the AI can and cannot do

Bias Prevention: We actively work to prevent and mitigate bias in AI systems:

• Regular audits of AI outputs for potential biases
• Diverse testing across demographic groups and contexts
• Continuous monitoring and adjustment of AI behavior
• Feedback mechanisms for identifying and addressing bias

Inclusive Design: Our AI systems are designed to be inclusive:

• Content generation respects cultural sensitivities
• Targeting algorithms avoid discriminatory patterns
• Accessibility considerations are built into AI outputs

Hallucination Prevention: We implement safeguards against AI hallucinations:

• Fact-checking mechanisms for AI-generated claims
• Source attribution requirements for data-driven content
• Confidence scoring for AI outputs
• Retrieval-augmented generation (RAG) for accuracy

Quality Assurance: We maintain high standards for AI outputs:

• Automated quality checks before content publication
• Regular performance monitoring and benchmarking
• Client feedback integration for continuous improvement

Prohibited Uses: We do not use AI for:

• Creating deceptive or misleading content
• Generating fake reviews or testimonials
• Impersonating real individuals without consent
• Spreading misinformation or disinformation
• Manipulating or exploiting vulnerable populations
• Any illegal activities

Responsible Marketing: Our AI-powered marketing adheres to:

• FTC guidelines on advertising and endorsements
• Platform-specific policies on AI-generated content
• Industry best practices for ethical marketing
• Respect for consumer autonomy and informed decision-making

We are mindful of AI's environmental impact:

• Preference for efficient models that minimize computational resources
• Use of cloud providers committed to renewable energy
• Optimization of AI workflows to reduce unnecessary processing
• Transparency about the carbon footprint of our AI operations

The AI regulatory landscape changed significantly in 2024–2026. We track and align with the following frameworks; the list is reviewed quarterly:

• EU AI Act - prohibitions on unacceptable-risk practices (effective February 2025) and obligations for general-purpose AI models (phasing in August 2025–August 2026). Our marketing-AI use cases sit in limited- and minimal-risk tiers; we publish risk classifications per agent on request.
• Colorado AI Act (SB24-205) - effective February 2026. Imposes duties on developers and deployers of high-risk AI systems used in consequential decisions. We disclose AI involvement in any consequential workflows for Colorado residents.
• Texas Responsible AI Governance Act (HB 149) - effective January 2026. Disclosure + impact-assessment requirements for AI systems interacting with Texas consumers.
• CCPA / CPRA AI training opt-out - California residents can opt out of having their personal data used to train AI models. We honour requests via [email protected] within 30 days.
• NIST AI Risk Management Framework (AI RMF 1.0 + Generative AI Profile) - we map our agent operations to the Govern / Map / Measure / Manage functions.
• ISO/IEC 42001:2023 - AI management system certification roadmap is in progress; expected H2 2026.
• C2PA content provenance - AI-generated images and video published by our agents include cryptographic content credentials per the Coalition for Content Provenance and Authenticity standard.

For the current list of which agents fall under which framework, contact [email protected].

This policy is a living document that evolves with:

• Advances in AI technology and best practices
• Changes in regulations and industry standards
• Feedback from clients, partners, and stakeholders
• Lessons learned from our operations

We review and update this policy quarterly, or more frequently as needed.

AI Ethics Committee: We maintain an internal AI Ethics Committee responsible for:

• Reviewing AI implementations for ethical concerns
• Investigating and addressing reported issues
• Recommending policy updates and improvements
• Ensuring compliance with this policy

Reporting Concerns: If you have concerns about our AI practices, please contact us at:

• Email: [email protected]
• Or through our website contact form with subject "AI Ethics Concern"

All concerns are taken seriously and investigated promptly.