Ezi Ozoani Research Fellow

Ezi Ozoani is a talented Applied Ethics Research Engineer passionate about making AI more accessible to everyone. Using cutting-edge deep learning techniques through cross-industry collaborations, she provides various government bodies and representatives invaluable technical and ethical expertise. This includes multiple projects such as: US policy representatives on NIST executive calls to help ensure that AI is developed and used in a safe, secure, and trustworthy manner; contributing to the MIT x Harvard Medical Data consortium as an open-source and research contributor; working with ASCE (The American Society of Civil Engineers); and ongoing work alongside the EU AI office and many other prestigious organisations. Ezi focuses on transforming research findings into practical code while emphasising ethical and inclusive practices. This work has led to the development of ethical machine learning tools, including audio-deep fake watermarking, model and dataset interpretability, and other technical artefacts, all contributing to AI's transparency, accountability, and ethical use. Ezi's work in ethical AI began during her collaboration with UN lawyers to connect human rights case builders to individuals in vulnerable and abusive situations before chatbots became mainstream. Her development of 'Sophia', an untraceable chatbot, showcased the potential of AI and natural language processing to empower people in fragile situations. Her additional prior collaboration with Doctors Without Borders to create 3D-printed devices for healthcare workers in remote areas is a testament to her commitment to leveraging technology for social good. Ezi's continuous exceptional work in ethical AI showcases her unwavering commitment and enthusiasm for utilising technology to build a more inclusive technical world.