Privacy & Trust

Privacy Policy

How we collect, use, protect, and govern personal information — and our principles for responsible AI.

Effective Date: 5/3/24

At eNoble, we are committed to safeguarding the privacy and security of the personal information we collect. This Privacy Notice outlines our practices concerning the collection, use, and protection of personal information.

Purpose for Collecting Personal Information

We collect personal information to provide and improve our services, process transactions, fulfill legal and contractual obligations, and enhance user experiences.

Choice and Consent

Before collecting personal information, we ensure that we obtain your consent, where required, after clearly describing what information we collect and how we intend to use it. You have the right to withdraw consent at any time.

Types of Personal Information Collected

We may collect various types of personal information, including, but not limited to, your name, address, email address, telephone number, and financial information.

Methods of Collection

  • Directly from you when you provide it to us via our website, applications, or services.
  • From third parties, such as service providers, when it is necessary for the provision of our services.

Use, Retention, and Disposal of Personal Information

Your personal information is used to provide services you request, communicate with you, and comply with legal obligations. We retain personal information for as long as necessary to fulfill the purposes outlined in this notice unless a longer retention period is required or permitted by law. Personal information is disposed of securely when no longer needed.

Access to Personal Information

You may access and update your personal information by contacting our privacy office via our contact page. We will provide the necessary information and assist you with making any corrections.

Tracking Requests for Disclosure of Personal Information

eNoble is committed to maintaining an open and transparent approach when dealing with personal information. To uphold this commitment, we have implemented a robust system to track and manage requests from data subjects who wish to access their personal information.

  • Request Submission: Data subjects can submit requests to access their personal information through designated channels, which may include an online portal, email, or written correspondence. Full details of the submission process are provided on our website and through our customer service team.
  • Tracking and Processing: Upon receiving a request for information disclosure, it is logged into our secure data management system. Each request is assigned a unique identifier, which helps in tracking the request's progress and ensures that all actions are documented thoroughly from receipt to resolution.
  • Timely Response: We are dedicated to responding to all requests in a timely manner. The status of a request, including any updates or required additional actions, is communicated directly to the requesting party to ensure transparency and efficiency.
  • Review and Oversight: All tracked requests are periodically reviewed by our privacy compliance team to ensure that they are handled in accordance with our internal policies and regulatory requirements. This review also helps in identifying any trends or areas for improvement in how we manage and respond to data subject requests.
  • Data Subject Rights: We acknowledge and respect the rights of data subjects to access their personal information. We provide all requested information unless doing so would infringe upon the rights of another individual or is otherwise exempt under applicable law.

Disclosure of Personal Information to Third Parties

We disclose personal information to third parties only when it is necessary for the provision of services, compliance with legal obligations, or with your consent. All third parties are strictly vetted and bound by confidentiality agreements.

Security for Privacy

We implement robust security measures to protect personal information from unauthorized access, alteration, disclosure, or destruction. These include technological, physical, and administrative measures.

Quality of Personal Information

We strive to maintain the accuracy, completeness, and relevance of personal information for the purposes for which it is used.

Monitoring and Enforcement

We regularly review our compliance with this Privacy Notice and the relevant privacy laws. Any queries or complaints regarding privacy can be directed to our privacy office via our contact page.

Changes to Our Privacy Notice

This Privacy Notice may be updated periodically. We will notify you of any significant changes by posting the new notice on our website or through other communication channels.

Responsible Use of AI

At eNoble, we are committed to leveraging Artificial Intelligence (AI) and Machine Learning (ML) technologies responsibly and securely to enhance our products and services. Our approach is governed by core principles that prioritize the privacy and trust of our users.

1. Data Security and Privacy

The security of your data is paramount. We implement rigorous security controls to protect the information processed by our AI systems.

  • Encryption and Access Control: All data used to train and run our AI models, including any personal or confidential information, is encrypted both in transit and at rest. Access is strictly controlled using the principle of least privilege, ensuring only authorized personnel and processes can interact with sensitive data.
  • Data Minimization: We are committed to the principle of data minimization. Our AI systems are designed to only collect and process the minimum amount of personal data necessary to achieve the stated purpose of the service.
  • Training: We may use aggregated and anonymized data to continuously improve our models. Any such data is stripped of personal identifiers and treated with the utmost confidentiality.

2. Transparency and Explainability

We strive to make our AI usage transparent so you can understand when and how AI influences our products and services.

  • Clear Disclosure: We clearly identify when a service or product is powered or assisted by AI (e.g., "This summary was AI-generated," or "AI-powered recommendations").
  • Human Oversight: For high-stakes decisions or critical outputs generated by AI, we ensure there is human-in-the-loop review and validation to verify accuracy, correct bias, and maintain accountability. AI is a tool to empower our team, not a replacement for human judgment.
  • Accuracy and Reliability: We rigorously test and continuously monitor our AI models for performance, accuracy, and reliability before and after deployment to mitigate the risk of "hallucinations" or providing incorrect information.

3. Fairness and Bias Mitigation

We are dedicated to developing and deploying AI systems that are fair, equitable, and non-discriminatory.

  • Bias Audits: We conduct regular, systematic audits of our training data and model outputs to identify and mitigate potential biases that could lead to unfair or discriminatory outcomes against any group.
  • Diverse Data Sets: We prioritize the use of diverse and representative data sets to ensure our models perform reliably and equitably for all users.
  • Feedback Mechanism: We provide a clear channel for users to report outputs or results they believe are biased, inaccurate, or harmful. This feedback is critical to our continuous improvement process.

4. Accountability and Governance

Responsibility for our AI systems ultimately rests with our company and our people.

  • Internal Governance: We have established a cross-functional AI Governance Committee responsible for overseeing the ethical design, secure development, and responsible deployment of all AI initiatives across the company.
  • Compliance: We adhere to all applicable laws and regulations concerning data privacy, consumer protection, and the use of AI in our industry and jurisdiction.

5. Internal Training and Workforce Readiness

We recognize that our AI systems are only as responsible as the people who design, deploy, and manage them. We are committed to fostering a culture of AI literacy and responsibility across our organization.

  • Mandatory AI Ethics Training: All employees, particularly those involved in the development, procurement, or deployment of AI systems, are required to complete regular training modules covering — Ethical Principles: understanding our company's core values regarding AI use, including fairness, transparency, and accountability; Bias Awareness: practical training on identifying, measuring, and mitigating algorithmic bias in data and model outputs; and Security Protocols: adherence to strict security and privacy best practices when handling sensitive data used for AI training and operation.
  • Role-Specific Guidelines: We provide detailed, role-specific guidelines to ensure appropriate use — Developers & Engineers: best practices for secure coding, data governance, version control, and model auditing; Content & Customer-Facing Teams: clear protocols on when to disclose AI assistance, how to handle sensitive outputs, and how to escalate user feedback regarding AI performance or bias.
  • Continuous Education: The field of AI is rapidly evolving. We maintain a commitment to continuous learning, regularly updating our internal training materials and standards to reflect the latest advancements in AI security, governance, and regulatory requirements.