
Responsible & Ethical AI
Effective Date: April, 2025
- Guiding Principles
Our AI systems are governed by the following principles:
- Transparency: We strive to provide clear, accessible explanations of how our AI functions and is trained.
- Fairness and Non-Discrimination: We actively mitigate bias in data and models to ensure equitable outcomes.
- Accountability: We take responsibility for our models' behavior and allow for oversight and redress mechanisms.
- Data Ethics
We collect and use data in a lawful, transparent, and fair manner.
We respect user privacy and avoid the use of sensitive or personally identifiable data unless explicitly consented to.
Datasets are evaluated for representativeness, accuracy, and bias mitigation. - Human Oversight
AI-generated outputs are reviewed by human moderators, particularly in high-impact domains. Final responsibility for decision-making remains with human users.
- Security and Safety
We employ rigorous security protocols to prevent misuse, manipulation, or unintended consequences of our AI systems.
- Continuous Monitoring and Improvement
We audit our AI systems periodically for performance, compliance, and alignment with ethical norms. User feedback is actively incorporated to refine outputs and eliminate harm.
- User Responsibilities
Users of our platform are required to:
- Use AI outputs responsibly and with appropriate human supervision;
- Avoid using AI to generate deceptive, malicious, or unlawful content;
- Report any concerning behavior or outputs immediately.
- Governance and Compliance
We stay aligned with global AI regulatory frameworks, including the EU AI Act, India's Digital Personal Data Protection Act, and emerging best practices from industry consortiums.