Introduction to responsible AI: Responsibility in the context of AI refers to ensuring that artificial intelligence systems are designed, developed, and deployed in an ethical, transparent, and accountable manner. This includes mitigating risks, protecting privacy, ensuring fairness, and making sure that AI does not harm individuals or society. Responsibility is not just about the behavior of the AI itself but also about how it is used by the people who create, regulate, and interact with it.
- Also, how different organisations define it in their ways.
In the context of AI, "Parampara" can be understood as the tradition of responsible creation and ethical use of technology. “Pratishtha" can be understood as the foundational establishment of AI systems that are built upon clear ethical guidelines and societal values. "Anushasan" refers to the discipline or regulation needed when developing and using AI systems.

Responsibilities of AI (Building AI Right). Components of the right AI
Responsibilities towards AI as developers, creators, users.
DOs and DON’Ts
Interesting references and a case study for accenture: https://www.accenture.com/us-en/case-studies/data-ai/blueprint-responsible-ai