AI governance is not a paper exercise. It is the work of making power legible before it becomes infrastructure.
Hira builds the governance layer around systems that shape what people see, believe, contest, and become.
A systems operator, not a commentator.
Explore the core areas of Hira’s work: AI governance, platform risk, and institutional accountability.
Her career began with law and human rights in Pakistan, moved through multilateral institutions in New York, and arrived inside the machinery of global technology governance.
Her career is not a pivot from human rights into technology. It is a continuous study of how powerful systems become operational: through law, policy, data, infrastructure, classification, enforcement, incentives, and design.
She has worked across international rights systems and global platform governance, in spaces where abstract commitments become operational choices. That experience now informs her work on intelligent systems: models, agents, synthetic media, world models, data and compute sovereignty, automated workflows, and the institutions that decide how they are deployed, constrained, audited, and contested.
Her record in child safety, exploitation prevention, non-consensual imagery, trafficking, regulatory compliance, and high-harm enforcement is not the boundary of her work. It is evidence of a broader discipline: governing consequential systems under real-world pressure.
The safety surface is larger than the model.
Hira’s thinking sits where AI systems meet product incentives, enforcement choices, institutional pressure, data availability, compute capacity, and human vulnerability. Open each card for the fuller argument.
Thinking out loud.
A dedicated space for essays, field notes, and public arguments on technology governance, institutional failure, AI deployment, accountability, and the people most affected by powerful systems.
April Fool.
Three years inside one of the world’s most scrutinised platforms — what the outside world still does not understand about governing technology, and why that blind spot is about to get much more expensive.
Read articleWho Gets to Shape the Systems That Will Reshape Their Lives?
AI governance is being written by the same rooms that have always written the rules. Genuine inclusion requires not just access to technology, but agency over it.
Read articleLet’s work together.
For AI governance, platform strategy, institutional risk, emerging-market technology policy, child safety infrastructure, or advisory work at the edge of power and accountability, send a note with the context and the stakes.