What happened
In an exclusive interview with NDTV, DeepMind’s Chief AI Readiness Officer Lila Ibrahim argued that artificial intelligence is “too important” to be left without regulation. She said effective rules must be “right‑size” – limiting risk without stifling the technology’s benefits – and must involve governments, labs and third‑party bodies working together. Ibrahim referenced the India AI Impact Summit as an example of multilateral dialogue and cited DeepMind CEO Demis Hassabis’s recent proposal for a standards body modeled on FINRA to test frontier models. The interview also noted U.S. President Donald Trump’s recent remarks favoring industry self‑regulation, contrasting with DeepMind’s call for coordinated oversight.
On Oct 12, 2026, NDTV published an interview with Lila Ibrahim, DeepMind’s Chief AI Readiness Officer. Ibrahim emphasized that AI’s transformative potential demands "exceptional care" and that regulation should mitigate risk without curbing opportunity.
She highlighted the need for global collaboration, stating that no single company or country should bear sole responsibility for AI oversight. Ibrahim pointed to the India AI Impact Summit as a model for dialogue among governments, labs, and civil society.
Ibrahim also referenced a recent internal DeepMind proposal by CEO Demis Hassabis for a FINRA‑style standards body to evaluate frontier models. The interview contrasted this stance with U.S. President Donald Trump’s advocacy for industry self‑regulation, underscoring a policy split within the AI ecosystem.
Why it matters
The interview marks a high‑profile public statement from a senior DeepMind executive, signaling that one of the world’s leading AI labs is pushing for formal governance structures rather than relying on voluntary industry codes. As DeepMind and Google continue to develop frontier models that are deployed globally, the call for a multistakeholder regulatory framework could influence upcoming policy debates in the United States, Europe, and emerging markets like India. If adopted, such a framework might set standards for model testing, transparency, and accountability, shaping how AI products reach consumers and enterprises. It also highlights a divergence between political leaders advocating self‑regulation and AI researchers urging external oversight, a tension that could affect future legislation and international agreements.
DeepMind’s public advocacy for a formal regulatory framework adds to calls for external oversight of advanced AI systems, potentially shaping future legislation.
A multistakeholder standards body could create uniform testing and safety benchmarks, reducing fragmented national approaches and providing clearer compliance pathways for AI developers.
The divergence between political leaders favoring self‑regulation and AI researchers pushing for coordinated rules may intensify policy debates in major jurisdictions, influencing the speed and direction of AI deployment.
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What to watch next
Watch for any formal proposals from DeepMind or Google to establish a standards body, as well as reactions from regulators in the U.S., EU and India. Follow legislative activity on , especially bills that reference multistakeholder oversight. Monitor whether DeepMind’s “right‑size” regulatory language influences upcoming AI policy drafts or international forums such as the OECD AI Principles meetings.
Announcements from DeepMind or Google about concrete steps toward establishing a standards body or participating in existing initiatives.
Legislative proposals in the U.S., EU and India that reference multistakeholder oversight or adopt language similar to Ibrahim’s "right‑size" regulation concept.
Outcomes of upcoming international AI forums, such as the OECD AI Principles review, where DeepMind’s stance could be cited.
Reactions from other AI labs and industry groups to DeepMind’s position, which may signal broader alignment or pushback within the sector.