Bengaluru: Nasscom on Tuesday released a set of guidelines that it hopes will help define the framework, with the help of leading companies working on AI including AWS, Google, Microsoft, TCS, Infosys, Wipro and Deloitte. Common standards and protocols for researching, developing and using responsibly generated AI in India.
Devjani GhoshThe president of Nasscom said the guidelines are the world’s first initiative for the industry to work together to create a self-government framework that benefits all stakeholders. “I am really proud of how the Nasscom members have come together to create this framework despite being a fierce competitor. It is a positive step towards building a transparent and robust roadmap for building and using, and we will continue to work with our members to share best practices and encourage learning to accelerate that journey. To go.”
This guideline focuses on demonstrating reasonable care and foresight by conducting a comprehensive risk assessment and maintaining internal oversight throughout the lifecycle of a GenAI solution to encourage researchers, developers, It emphasizes certain obligations to users. In addition, transparency and accountability are promoted through the disclosure of the sources of data and algorithms used for modeling and other technical, non-proprietary details about the solution’s development process, capabilities and limitations.
Devjani GhoshThe president of Nasscom said the guidelines are the world’s first initiative for the industry to work together to create a self-government framework that benefits all stakeholders. “I am really proud of how the Nasscom members have come together to create this framework despite being a fierce competitor. It is a positive step towards building a transparent and robust roadmap for building and using, and we will continue to work with our members to share best practices and encourage learning to accelerate that journey. To go.”
This guideline focuses on demonstrating reasonable care and foresight by conducting a comprehensive risk assessment and maintaining internal oversight throughout the lifecycle of a GenAI solution to encourage researchers, developers, It emphasizes certain obligations to users. In addition, transparency and accountability are promoted through the disclosure of the sources of data and algorithms used for modeling and other technical, non-proprietary details about the solution’s development process, capabilities and limitations.
