The Responsible AI team, part of GovTech's Artificial Intelligence Tech Practice, develops technical capabilities in defining, measuring, and mitigating various Responsible AI issues. We aim to be at the forefront of the AI safety and responsible AI space through learning, experimentation, and applied research. Some of our past open-source work include RabakBench, KnowOrNot, MinorBench, and LionGuard, and you can find more details in our Responsible AI playbook ( huggingface page ( or the team blog (
(What we do) Data scientists in the Responsible AI team will focus on experimenting with the latest developments in the Responsible AI space to raise the level of AI safety, robustness and fairness in government AI systems. This includes designing and conducting AI testing and evaluations for LLMs and agentic AI, finetuning models for alignment and red-teaming, and developing accurate and efficient guardrails.
To do this well, we collaborate with many technical partners, including th...