Trai Chairperson Anil Kumar Lahoti on Monday pitched for resilient AI infrastructure and strong self-regulation to proactively mitigate risks and ensure that systems remain secure, accountable and adaptable to disruptions. Addressing a Nasscom pre-summit event for the upcoming AI Impact Summit, Lahoti said the design and rollout of AI infrastructure will decide if the technology's advantages stay limited to a few or get distributed broadly across regions and sectors. "...another important facet is maintaining resiliency within AI infrastructure, this involves establishing safeguards and frameworks that ensure AI systems remain capable of adapting to disruptions and are also reliable, secure and accountable while continuing to serve public and economic objectives...from a regulatory perspective, robust self-regulation is important in this sector as it will enable the industry to proactively address the risks of AI through voluntary commitments and self-certification," Lahoti ...