On June 6, 2023, the National Association of Software and Service Companies (NASSCOM) published guidelines for the responsible development and use of generative Artificial Intelligence (AI) solutions. These were formulated after conducting consultations with various stakeholders.
As per the guidelines, generative AI is defined as “a type of artificial intelligence technology that can create artefacts such as image, text, audio, video, and various forms of multi-modal content”. The proposed standards aim to address the drawbacks involved in the use of such technologies such as infringement of Intellectual Property (IP) rights, spread of misinformation, plagiarism in academic research, etc.
The guidelines lay down several obligations, some of which are listed below: –
- Those who conduct fundamental and applied research on generative AT models, applications, tools, and techniques have to comply with the applicable privacy norms. Such researchers are also required to make certain disclosures to the public regarding their research projects.
- The developers of generative AI solutions must conduct risk assessments and internal oversight throughout the solution’s lifecycle. They should disclose the data and algorithm sources and other technical, non-proprietary information about the development process to the public. In the collection, processing and usage of model training data, the developers need to follow data protection and IP rules. Further, in the development of such solutions, environmental and human well-being have to be taken into consideration.
- The terms of service and the regulations for safe and responsible use have to be obeyed by the users of generative AI solutions. Also, the users are expected to not infringe upon the rights of others, spread disinformation, etc. by using such solutions.
Overall, NASSCOM’s guidelines seek to create a governance framework that acknowledges the opportunities and addresses the challenges presented by generative AI, promoting a future that balances technological advancement with trust, accountability, and ethical considerations.