KEYNOTE SPEAKER
Founder and CEO, Humane Intelligence public benefit corporation; co-founder, Humane Intelligence nonprofit
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WHY RUMMAN
Rumman Chowdhury brings the perspective of the people responsible for evaluating and challenging AI systems. Her experience connects technical testing with organisational accountability and the experiences of affected communities. For a leadership team considering agents, this shifts the discussion towards how weaknesses are discovered, who can raise a concern and what happens afterwards. Her lens helps make oversight an operating responsibility with practical routes for correction.
KEYNOTE TOPICS
Translate broad commitments into decisions about evaluation, ownership and correction. For executives, the useful question is how a concern moves from discovery to an action someone is responsible for. This lens connects governance policy with the daily choices involved in building and deploying systems.
Examine what testing can reveal when assessors challenge a system from different perspectives. The discussion considers the role of external expertise and structured public feedback, and why a narrowly defined internal test can leave consequential behaviour unexamined.
Explore the relationship between system behaviour, affected people and the organisation deploying the technology. A leadership discussion can examine how problems are surfaced, what information makes scrutiny possible and how an organisation responds when its assurances are challenged.
Consider the practical meaning of allowing people to identify and contribute to the correction of AI failures. This perspective widens governance beyond acceptance or rejection of a product, towards the conditions under which systems can be improved and their effects contested.
Rumman Chowdhury works across responsible AI, evaluation and governance. She is founder and CEO of the Humane Intelligence public benefit corporation and co-founder of the separate Humane Intelligence nonprofit. The distinction matters: she stepped down as CEO of the nonprofit in 2025, and it is now led by Executive Director Mala Kumar.
Her previous roles include leadership of Twitter's Machine Learning Ethics, Transparency and Accountability team and responsible-AI work at Accenture. These roles connect her public engagement with experience of evaluation and risk management inside large organisations.
Chowdhury's work has also involved community participation in AI auditing and red teaming. Her speaking subjects include algorithmic accountability, independent evaluation, public trust and the right to repair AI systems. She approaches governance as a question of who can inspect a system's effects and help improve it, alongside the technical measures used by developers.
For executive audiences, her relevance lies in bringing that scrutiny into decisions about deployment. An agent's apparent usefulness is only part of the assessment. The organisation also needs to examine whose interests its tests represent, how it responds to failure and whether responsibility is backed by an effective way to challenge the system.
CONSIDERING RUMMAN?
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