Bio
Kuniko is a PhD student in Data Science at the University of Hull. She studied at the University of Hull's MSc Artificial Intelligence and Data Science course because she strongly felt the demands for transformation to apply AI beyond traditional computing while serving in a company as the head of the IT department in Japan. Throughout the master course, she acquired foundation knowledge in AI and data science. The more she learned, the more she found the potential of AI to solve social problems. On the other hand, there are also significant challenges, such as risks and concerns related to responsibilities that can harm humans, especially in a severe field like the medical sector. She would love to find a solution for safe AI in healthcare. Her research theme is creating an evaluation system for AI-based skin cancer detection. Mobile health apps have been assessed from the point of view of usability and accuracy of the decision in past studies. However, to the best of her knowledge, those studies did not assess the model trustworthiness of the applications, such as sustainability, accountability, fairness, and explainability. Therefore, she is creating a new evaluation framework to assess trustworthiness.
She is part of the 2023/2024 Turing-Roche Partnership Community Scholar Scheme.
Turing-Roche Community Scholar Project
Kuniko’s project is creating and publishing an interview video series in which she will interview the researchers and collaborators in Turing-Roche Partnership. The researchers and collaborators are working together on the partnership North Star of ‘Generating insights into disease, patient, and outcome heterogeneity using advanced analytics’ which is a unique and advancing theme of delivering personalised and individually optimised treatment in healthcare. She surmises that because of this challenging theme, the researchers and collaborators experienced something interesting and special. Sharing these experiences and discoveries from being involved in the theme with researchers who are not directly involved is valuable. That is why the live opinions of researchers and collaborators at the forefront will provide a deep insight into the collaboration and give viewers a sense of closeness and realism that will intrigue them.