1. Purpose and Scope

This Advanced AI Data Ethics Policy (“Policy”) governs the ethical design, development, deployment, and use of MindBricks’ artificial intelligence (“AI”) systems, services, and models.

It applies to:

● All MindBricks employees, contractors, partners, and affiliates.

● All users, organizations, and third parties interacting with MindBricks AI.

● All data processed, generated, or influenced by MindBricks AI systems.

The Policy is intended to supplement the MindBricks Privacy Policy and Terms of Service, ensuring responsible and lawful AI usage in line with international best practices.

2. Foundational AI Ethics Principles

MindBricks AI systems are built and operated in accordance with the following seven guiding principles:

1. Human-Centric Design – AI must serve to augment human decision-making, not replace human judgment in critical domains without oversight.

2. Transparency – Users must have clear, understandable information about how AI outputs are generated and what data sources are used.

3. Fairness & Non-Discrimination – AI systems must be monitored and tested for bias, ensuring equitable treatment regardless of race, gender, nationality, religion, disability, or other protected attributes.

4. Accountability – MindBricks accepts responsibility for the AI tools it builds and provides clear points of contact for ethical concerns or incident reporting.

5. Privacy & Data Protection – All personal data processed by AI must comply with GDPR, CCPA, KVKK, and other applicable data protection laws.

6. Security & Robustness – AI must be protected against adversarial attacks, misuse, and vulnerabilities through continuous monitoring and penetration testing.

7. Sustainability – AI development must consider energy consumption, environmental impact, and long-term societal consequences.

3. Acceptable Use of AI

MindBricks AI must not be used for:

● Surveillance that violates human rights or civil liberties.

● Autonomous weapons or military targeting systems.

● Deepfakes for malicious purposes (e.g., fraud, harassment, defamation).

● Discriminatory hiring, lending, or housing decisions.

● Misinformation, disinformation, or election interference.

● Illegal scraping or unauthorized acquisition of personal data.

● Any purpose prohibited by applicable local, national, or international law.

4. Data Governance for AI Systems

A. Data Collection & Consent

● All training datasets must be lawfully obtained and, where required, consent-based.

● Sensitive data categories (biometric, health, political, financial) require explicit, written consent before inclusion in AI processing.

B. Data Minimization & Purpose Limitation

● AI systems may only collect and process the minimum data necessary to achieve their stated purpose.

● Data used for AI training must be anonymized or pseudonymized where feasible.

C. Data Retention & Disposal

● Training and inference data must be retained only for the minimum legally and operationally necessary period.

● Secure destruction methods must be applied to expired datasets.

5. Bias Mitigation & Fairness Controls

MindBricks will:

● Conduct regular fairness audits of datasets and models.

● Apply bias detection algorithms to identify and mitigate harmful patterns.

● Maintain public documentation (“model cards”) for high-impact AI systems, outlining capabilities, limitations, and known biases.

6. Explainability & Transparency Requirements

For all AI systems:

● Decision-making processes must be explainable to non-technical users.

● Model architecture, training data sources (at a categorical level), and risk assessments must be documented and available to regulators upon request.

● AI-generated content must be clearly disclosed when presented to end-users.

7. Security & Risk Management

MindBricks employs:

● End-to-end encryption for AI data pipelines.
● Adversarial robustness testing against prompt injection, data poisoning, and model inversion attacks.
● Access control logs for all AI model interaction endpoints.
● Incident response protocols for suspected AI misuse or ethical breaches.

8. Human Oversight & Intervention

● Critical AI decisions (e.g., medical diagnosis, legal analysis, financial approvals) require human review before execution.

● Users must be able to challenge AI-generated outcomes and request human intervention.

9. Regulatory Compliance

This Policy aligns with selected principles of the following frameworks, where applicable to the nature and scope of the Service.

● EU Artificial Intelligence Act

● OECD AI Principles

● UNESCO Recommendation on the Ethics of AI

● NIST AI Risk Management Framework

● ISO/IEC 23894:2023 AI Risk Management Standard

Such alignment reflects policy-level intent and guidance, and does not constitute a representation, warranty, or certification of full regulatory or standards compliance.

Where applicable local law imposes stricter requirements, such requirements shall prevail.

10. Breach & Misuse Reporting

● Users, employees, and partners must immediately report suspected misuse or ethical concerns to aiethics@mindbricks.com.

● MindBricks will investigate within 72 hours and take appropriate remedial actions, which may include suspension of services, model retraining, or legal escalation.

11. Enforcement

Violations of this Policy by users may result in:

● Account suspension or termination.

● Revocation of access to AI services.

● Legal action where applicable.

Violations by MindBricks personnel may result in disciplinary action, up to and including termination of employment.

12. Policy Updates

MindBricks may update this AI Ethics Policy in response to evolving laws, technological advances, or ethical risks.

The “Last Updated” date at the top reflects the latest revision.

13. Contact Information

MindBricks, Inc.

Attn: AI Ethics Office
Email: aiethics@mindbricks.com
Website: https://mindbricks.com/contact