Jatinder Singh, who publishes as Jat Singh, is a Research Professor in the Department of Computer Science and Technology at the University of Cambridge, where he leads the Compliant and Accountable Systems research group. He is also affiliated with the Research Centre Trust (RC TRUST), UA Ruhr, University of Duisburg-Essen (Germany). His work concerns the accountability and governance of complex computing and AI systems.
Research group and approach
The Compliant and Accountable Systems group works at the intersection of technology and law and society. Cambridge describes its remit as considering "the mechanisms by which technology can be better designed, engineered and deployed to accord with legal and regulatory concerns," while working "to better ground policy/regulatory discussions in technical realities," and as taking an interdisciplinary approach to "governance, control, agency, accountability and trust regarding emerging and data-driven technologies" (Source: cst.cam.ac.uk). RC TRUST describes the group as an international team operating at the intersection of computer science, law, and society (Source: rc-trust.ai).
The group's distribution across Cambridge and Duisburg-Essen accounts for the collaboration behind the Prompt Governance paper: Anna Neumann is a doctoral member of the same group. Singh's departmental research themes are listed as human-centred computing, machine learning and artificial intelligence, mobile systems and robotics, security, and systems and networking, and he is associated with Cambridge's Trust & Technology Initiative (Source: cst.cam.ac.uk).
Recurring themes in his published work include accountability in algorithmic supply chains and the design of reviewable automated decision-making — the position that automated decisions should be engineered so that they can afterwards be examined against legal and regulatory standards, rather than made explainable only at the point of output (Source: scholar.google.com).
Work
He is a co-author of "Prompt Governance? On Governing Technologies Governed by Natural Language" (FAccT'26), written with Anna Neumann and Holli Sargeant, a systematic study of whether system-level instructions can function as reliable governance levers. Its question — whether a natural-language instruction can bear regulatory weight — applies the group's engineering-for-compliance framing to language models.
Relationships
- related: Anna Neumann, Holli Sargeant — co-authors; Neumann is in the same research group
- related: Prompt Governance — the concept the paper develops
- authored: Prompt Governance? On Governing Technologies Governed by Natural Language
- related: Algorithmic Accountability and Bias Audits — the broader field the group works in