Desiree Cho

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Desiree Cho is a first-year DPhil (PhD) student in Computer Science at the University of Oxford, and a doctoral scholar at the Institute for Ethics in AI. She is supervised by Prof Sir Nigel Shadbolt. Her research focuses on AI alignment, including failure modes and post-deployment monitoring.

She completed her Master of Science (MSc) at the Oxford Internet Institute, achieving Distinction in both her overall classification and thesis. Her thesis was on the behavioural interpretability of recommender systems, where she built an original social media dataset and developed a ML pipeline for alignment auditing. Desiree has strong experience in human-centred computing, having authored papers at leading venues, such as the ACM CHI. 

Beyond research, Desiree is passionate about translating AI safety insights into policy and stakeholder engagement. She serves on the committees of Oxford Womxn in Computer Science and OxAI Safety and Governance, and has helped organise the Oxford Human-AI Workshop 2024.

Please follow Desiree on LinkedIn for her most recent updates.

 

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