Privacy by Design and Commitment to Data Protection
AI2L is committed to protecting the privacy rights of data subjects and implementing privacy-protective measures at every stage of our AI-powered market research platform. We are an AI deep market research platform built on advanced artificial intelligence technologies to provide comprehensive market analysis and business intelligence services.
"AI2L," "we," and "us" refer to Artificial Intelligence to Leads. We offer AI-driven market research analytics services utilising cutting-edge artificial intelligence models, web browsing capabilities, and data reasoning across multiple LLM providers. In this policy, we refer to all these products, together with our other services and websites, as "Services."
This policy covers data we collect when you use our services or communicate with us, including visiting our website, using the AI2L platform, downloading materials, responding to our communications, and attending our events. It also explains your rights regarding your data and outlines our approach to responsible AI development and deployment.
Important Notice about AI-Related Privacy Risks
The use of artificial intelligence technologies in our services presents unique privacy considerations and potential risks that we are committed to addressing transparently:
AI Model Training: Our AI systems may process personal data during training and inference phases
Data Inference Risks: AI models may potentially infer sensitive information about individuals from non-sensitive inputs
Algorithmic Decision-Making: Our services may involve automated decision-making that could affect individuals
Cross-Border Data Transfers: AI processing may involve data transfers to jurisdictions with different privacy protections
We implement comprehensive technical and organisational measures to mitigate these risks while providing innovative AI services.
Data Protection and Contact Information
For privacy inquiries, data subject rights requests, or concerns about our AI systems, contact our responsible staff at: home@ai2l.net
Brief Overview: Data We Collect and Legal Basis for Processing
Data Category
Legal Basis (GDPR Art. 6)
Purpose
Contact details (name, email, phone)
Consent, Contract
Customer support, service delivery
Technical data (IP address, device ID)
Legitimate interest, Consent
Website security, analytics, AI model improvement
AI interaction data (prompts, queries)
Contract, Legitimate interest
Service provision, AI model enhancement
Marketing preferences
Consent
Sending promotional content
Payment and billing information
Contract, Legal obligation
Processing transactions
AI-generated insights and outputs
Contract, Legitimate interest
Service delivery, model improvement
We process this data only when necessary and in compliance with applicable laws, including specific AI governance requirements.
AI Acceptable Use and Prohibited Practices
Our AI services must be used in accordance with our Section 6AI Acceptable Use Policy and are subject to the following fundamental restrictions based on emerging AI regulations:
Prohibited AI Uses:
Social scoring or evaluation of individuals based on social behaviour
Emotion recognition for workplace surveillance (except for safety purposes)
Subliminal or manipulative techniques designed to distort behaviour
Exploitation of vulnerabilities related to age, disability, or economic situation
Real-time biometric identification in public spaces for surveillance
Generating content that violates intellectual property rights
Creating deepfakes or synthetic content intended to deceive
We retain personal data only as long as necessary for the specified purposes. AI training data and model parameters are subject to special retention considerations to balance service improvement with privacy rights.
Cookie Policy & Tracking Technologies
We use cookies and similar technologies for analytics, AI model improvement, and user experience enhancement. We obtain explicit opt-in consent before setting non-essential cookies and provide easy-to-use cookie management tools.
Data Transfers Outside the EEA
We transfer data to service providers in the United States, where our cloud infrastructure and AI model providers operate. We ensure GDPR compliance through:
Data Processing Agreements and Standard Contractual Clauses (SCCs)
Technical safeguards, including encryption and access restrictions
Regular assessments of destination country legal frameworks
Your Rights Under GDPR, CCPA, and AI-Specific Rights
Rights
GDPR (EU Users)
CCPA (California Users)
AI-Specific Rights
Access data
✅ Yes
✅ Yes
✅ AI decision explanations
Rectification
✅ Yes
✅ Yes
✅ Correct AI inferences
Erasure
✅ Yes
✅ Yes
✅ Remove from AI models*
Object to AI processing
✅ Yes
❌ No
✅ Opt-out of AI decisions
Human review of AI decisions
✅ Yes
❌ No
✅ Request human oversight
*Note: Complete removal from trained AI models may not always be technically feasible. We will provide transparency about limitations.
To exercise your rights, contact: home@ai2l.net
Security Measures for AI Systems
We implement comprehensive security measures for our AI infrastructure:
End-to-end encryption for AI data processing
Secure model hosting and access controls
Regular AI security audits and penetration testing
Differential privacy techniques where applicable
Model robustness testing against adversarial attacks
Children's Privacy and AI
Our AI services are not intended for individuals under 16. We implement age verification measures and will promptly delete any data from minors discovered in our systems.
If you do not agree with this policy, including our AI data processing practices, please do not access or use our services.
2. AI Platform Data Processing
2.1 AI Model Infrastructure and Data Flow
Our AI2L platform operates on a sophisticated AI chain built on n8n.io infrastructure, hosted on Hetzner servers, and integrated with multiple AI model providers:
Core AI Stack:
Platform: n8n.io (self-hosted on Hetzner infrastructure)
Service Provision (Legal Basis: Contract - GDPR Art. 6(1)(b))
Processing user queries through AI models
Generating market research insights and recommendations
Providing personalised business intelligence
Maintaining service functionality and availability
AI Model Improvement (Legal Basis: Legitimate Interest - GDPR Art. 6(1)(f))
Enhancing AI model accuracy and performance
Developing new AI capabilities and features
Quality assurance and error correction
Bias detection and mitigation
Note on AI Model Training: We do not use personal data for training foundational AI models unless explicitly consented to by users. Our legitimate interest processing focuses on improving service quality and user experience.
2.3 Third-Party AI Model Providers
Google Gemini Models
Data Processing: Prompts and responses are processed according to Google Workspace privacy commitments
Retention: Google does not retain prompts or responses after the session ends for business users
Training: Your data is not used for AI model training without permission
Role-based access controls with the principle of least privilege
Regular employee privacy and security training
Incident response procedures and breach notification protocols
Vendor security assessments and ongoing monitoring
5.3 International Data Transfers
EU to US Transfers: When using US-based AI model providers (OpenAI), we implement:
Standard Contractual Clauses (SCCs) as approved by EU authorities
Additional technical safeguards, including encryption and access controls
Regular adequacy assessments of destination country legal frameworks
Data minimisation practices to limit transfer necessity
6. AI Acceptable Use Policy
6.1 Acceptable AI Service Usage
Permitted Uses:
Market research and business intelligence gathering
Data analysis and insight generation for legitimate business purposes
Automated content summarisation and analysis
Competitive research within legal and ethical boundaries
Business process optimisation and decision support
Required Practices:
Ensure input data accuracy and relevance
Respect intellectual property rights in AI-generated content
Use AI insights as decision support, not a replacement for human judgment
Comply with applicable industry regulations and standards
Report suspected AI system errors or biases promptly
6.2 Prohibited AI Platform Usage
Strictly Prohibited Activities:
Unlawful or Harmful Content Generation:
Creating content that violates laws, regulations, or third-party rights
Generating misleading, false, or deceptive information
Producing content that promotes illegal activities or services
Creating deepfakes or synthetic media intended to deceive
Privacy and Data Violations:
Processing personal data without an appropriate legal basis
Attempting to identify individuals from anonymised datasets
Generating profiles of individuals without consent
Using AI to circumvent privacy protections or consent mechanisms
Discrimination and Bias:
Using AI systems to discriminate against protected classes
Implementing biased algorithms in decision-making processes
Creating or perpetuating unfair treatment based on demographic characteristics
Ignoring known algorithmic biases without mitigation efforts
Surveillance and Monitoring:
Real-time biometric identification for surveillance purposes
Emotion recognition for employee monitoring (except safety applications)
Social scoring or behavioural evaluation systems
Unauthorised monitoring of individuals' activities or communications
Market Manipulation:
Using AI to manipulate market prices or conditions
Creating artificial demand or supply through automated systems
Generating fake reviews, testimonials, or social media engagement
Coordinating market activities to mislead other participants
6.3 AI Governance and Oversight
Human Oversight Requirements:
Significant business decisions must maintain human review capability
AI-generated insights should be validated by qualified personnel
Users must be able to identify AI-generated vs. human-created content
Clear escalation procedures for AI-related concerns or errors
Compliance Monitoring:
Regular audits of AI system outputs for bias and accuracy
Ongoing assessment of AI decision-making fairness
Documentation of AI system capabilities and limitations
Incident reporting and corrective action procedures
User Responsibilities:
Users are responsible for the lawful use of AI services
Input data must be provided lawfully and with appropriate rights
Users must respect output accuracy limitations and verify critical information
Suspected misuse or system errors must be reported promptly
6.4 Enforcement and Violations
Violation Response:
Warning and corrective action for minor violations
Service suspension for repeated or serious violations
Account termination for severe violations or legal non-compliance
Reporting to authorities when required by law
Appeals Process:
Users may appeal enforcement actions by contacting our AI Ethics Review Board at: ai-ethics@ai2l.net
7. Data Subject Rights and AI Transparency
7.1 Enhanced Rights for AI Processing
In addition to standard GDPR rights, we provide enhanced protections for AI-related processing:
Right to AI Explanation:
Meaningful information about AI decision-making logic
Explanation of automated decision significance and consequences
Information about data sources and processing methods used
Limitations and accuracy measures of AI systems involved
Right to Human Review:
Request human intervention in automated decision-making
Challenge AI-generated decisions that significantly affect you
Access to qualified personnel for AI-related concerns
Override procedures for AI recommendations when appropriate
Right to AI Data Correction:
Correct personal data used in AI model training
Update preferences affecting AI personalisation
Request removal of biased or incorrect AI-generated profiles
Notification of AI model updates affecting your data
7.2 AI Transparency Measures
Model Documentation:
We maintain documentation of our AI systems, including:
Purpose and intended use of each AI model
Data sources and training methodologies
Known limitations and potential biases
Accuracy measures and performance metrics
Update frequency and change management procedures
Algorithmic Auditing:
Regular bias testing across protected characteristics
Performance monitoring for fairness and accuracy
Third-party algorithmic audits annually
Public reporting of aggregate AI system performance
7.3 Exercising Your Rights
Contact Methods:
Email: privacy@ai2l.net
Data Protection Officer: dpo@ai2l.net
AI Ethics concerns: ai-ethics@ai2l.net
Required Information:
To process your request efficiently, please provide:
Your full name and contact information
Specific AI service or interaction involved
Nature of your request and desired outcome
Relevant dates and reference information
Verification of your identity (two forms of ID may be required)
Response Timeframes:
Standard requests: Within 30 days
Complex AI-related requests: Up to 90 days with explanation
Urgent privacy concerns: Within 72 hours, acknowledgement
AI explanation requests: Within 14 days
8. Data Security and AI System Protection
8.1 AI-Specific Security Measures
Model Protection:
Secure model hosting with encrypted storage
Access controls preventing unauthorised model modification
Version control and rollback capabilities for AI models
Protection against model extraction and reverse engineering
Training Data Security:
Encrypted storage of training datasets
Access logging and audit trails for training data
Data anonymisation and pseudonymization techniques
Secure deletion procedures for expired training data
Inference Security:
Real-time monitoring of AI system inputs and outputs
Detection of adversarial attacks and prompt injection attempts
Rate limiting and abuse prevention mechanisms
Output filtering for sensitive information disclosure
8.2 Incident Response for AI Systems
AI-Specific Incidents:
Biased or discriminatory AI outputs
Unauthorised disclosure of training data
AI system manipulation or adversarial attacks
Model performance degradation or errors
Privacy violations in AI-generated content
Response Procedures:
Immediate containment and system isolation
Assessment of affected individuals and data
Corrective measures and system updates
Notification to affected parties within 72 hours
Regulatory reporting as required by law
Post-incident review and prevention measures
8.3 Regular Security Assessments
AI Security Auditing:
Quarterly vulnerability assessments of AI infrastructure
Annual third-party security audits, including AI systems
Continuous monitoring of AI model behaviour and outputs
Regular penetration testing of AI service endpoints
Compliance Verification:
GDPR compliance audits, including AI processing activities
AI governance framework assessments
Third-party privacy certifications and validations
Regular updates to security measures based on emerging threats
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9. International Data Transfers and AI Models
9.1 Cross-Border AI Processing
Our AI services involve international data transfers to access advanced AI capabilities:
Primary Transfer Destinations:
United States: OpenAI model processing, Google Cloud AI services
European Union: Primary data hosting and processing (Germany)
Other regions: As required for specific AI model access
Transfer Safeguards:
Standard Contractual Clauses (SCCs) for all international transfers
Additional contractual protections for AI-specific processing
Technical measures, including encryption and access controls
Regular adequacy assessments and due diligence
9.2 AI Model Provider Compliance
OpenAI (United States):
Data Processing Agreement with Standard Contractual Clauses
Business data not used for model training without opt-in
30-day maximum retention for abuse monitoring
Enterprise-grade security and privacy protections
Google Gemini (United States):
Google Workspace enterprise privacy commitments
No retention of prompts/responses after session end
Data not shared outside organisation without permission
Robust access controls and audit capabilities
9.3 Data Localisation Options
For customers requiring data localisation:
EU-only processing: Available for core platform functionality
Regional model deployment: Limited AI capabilities with local models
Hybrid arrangements: Critical data kept in the EU, non-sensitive data for AI enhancement
Custom solutions: Tailored data residency requirements
10. Updates and Changes to AI Privacy Practices
10.1 Policy Updates and Notifications
Update Triggers:
Changes to AI model providers or capabilities
New AI privacy regulations or guidance
Material changes to data processing practices
Security incidents requiring policy adjustments
User feedback and privacy enhancement opportunities
Notification Methods:
Email notification to registered users
Website banner and in-platform notifications
Updated policy with change highlighting
Direct communication for material changes affecting rights
10.2 AI Technology Evolution
As AI technology rapidly evolves, we commit to:
Regular review of privacy practices against emerging standards
Proactive adoption of privacy-enhancing AI technologies
Engagement with regulatory authorities on AI privacy guidance
Participation in industry privacy and AI ethics initiatives
Transparent communication about AI capability changes
10.3 User Control and Consent Management
Ongoing Consent:
Regular reconfirmation of AI processing preferences
Granular controls for different AI service features
Easy opt-out mechanisms for AI enhancements
Clear communication about new AI capabilities requiring consent
Preference Management:
Users can access and modify their AI privacy preferences through:
Account settings dashboard with AI-specific controls
Email preference centre with AI communication options
Customer service team for complex preference changes
Self-service privacy tools for common requests
11. Contact Information and Regulatory Authorities
11.1 Privacy and AI Ethics Contacts
Data Protection Officer:
Email: dpo@ai2l.net
AI Ethics and Responsible AI:
Email: ai-ethics@ai2l.net
Escalation procedures for AI-related concerns
Regular office hours for AI ethics consultations
General Privacy Inquiries:
Email: privacy@ai2l.net
Response commitment: 5 business days for initial response
Comprehensive response within 30 days
11.2 Regulatory Authority Information
For EU Residents:
If you believe we have not adequately resolved your privacy concerns, you may file a complaint with your local data protection authority. Contact information for EU data protection authorities is available at:https://edpb.europa.eu/about-edpb/about-edpb/members_en