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.
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.
AI-generated outputs are reviewed by human moderators, particularly in high-impact domains. Final responsibility for decision-making remains with human users.
We employ rigorous security protocols to prevent misuse, manipulation, or unintended consequences of our AI systems.
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.
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.
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.