This framework guides the ethical, transparent, and secure implementation of AI systems, with a strong focus on human rights, fairness, accountability, and safety in deployment across public and private sectors.
Responsible AI Deployment Framework
To provide a clear, enforceable set of principles for deploying Artificial Intelligence responsibly across industries, ensuring AI serves humanity without bias or harm.
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Ethical Design & Development
- Ensure fairness, transparency, and bias-mitigation at every stage of development.
- Mandate diverse datasets and explainable algorithms.
Human-Centric Governance
- AI should augment human intelligence, not replace or manipulate it.
- Human override must always be possible in critical systems.
Data Privacy & Security
- Data used for AI training must follow strict consent and anonymization protocols.
- Ensure end-to-end encryption for AI-involved systems.
Accountability & Auditability
- Organizations must publish audit logs and maintain model version history.
- Establish responsible teams for model governance and feedback handling.
Sectoral Implementation Norms
- Special AI guidelines for BFSI, healthcare, education, and law enforcement.
- Emphasize risk assessments before deployment.
