Participants discussed the potential of GenAI-enabled chatbot solutions to unlock hyper-personalisation to service customer needs and preferences better.
Participants suggested that the existing legal principles for product or service liability may be inadequate to address accountability concerns arising from the misuse or malicious use of GenAI technologies.
Participants also suggested the need for regulation to be proactive, rather than reactive, recognising the risk of bad or sub-optimal regulation creeping in that could hamper industrial innovation.
Participants expressed the need for developing local language models in India to unlock the development of use cases that could address the needs of the local population.
Participants suggested that regulatory decision-making aimed at ensuring responsible GenAI adoption should be guided by a comprehensive risk-benefit analysis that takes into account the collective interests of all stakeholders.
Participants proposed robust industry self-regulation to ensure the responsible adoption of GenAI technologies, notwithstanding the absence of government-mandated rules and regulations for data protection, etc.
Participants highlighted the importance of data privacy, data quality and diversity, cybersecurity, tools and techniques for testing model accuracy, and explicit communication of the capabilities and limitations
of the technology by model developers to ensure responsible adoption of GenAI.
Participants underlined the utility of scenario-based design method to meet the requirements of explainability.
Participants emphasised the need for pre-market assessment and post-market monitoring of GenAI solutions to ensure safe and responsible adoption of GenAI.
Participants suggested that a void in regulation risked slowing innovation in the GenAI industry.
