Datasets through the L👀king-Glass

Datasets through the L👀king-Glass is a webinar series focusing on the data aspects on learning-based methods. Our aim is to build a community of scientists interested in understanding how the data we use affects the algorithms and society as a whole, instead of only optimizing for a performance metric. We draw inspiration from a variety of topics, such as data curation to build datasets, meta-data, shortcuts, fairness, ethics and philosophy in AI.

Next talk:

Topic: Datasets for medical image challenges

Date: 5th June 2023 at 4pm CEST

Where: Online - Zoom

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Speakers:

• Prof. Amber Simpson - Queen’s University, Canada
• Prof. Esther E. Bron - Erasmus MC - University Medical Center Rotterdam, the Netherlands
• Prof. Spyridon Bakas & Dr. Ujjwal Baid - University of Pennsylvania, USA

Previous talks:

• S01E01 - Dr. Roxana Daneshjou (Stanford University School of Medicine, Stanford, CA, USA). 27th Feb 2023. Challenges with equipoise and fairness in AI/ML datasets in dermatology. Video
• S01E02 - Dr. David Wen (Oxford University Clinical Academic Graduate School, University of Oxford, Oxford, UK). 27th Feb 2023. Characteristics of open access skin cancer image datasets: implications for equitable digital health. Video will be available after 5th July 2023.
• S01E03 - Prof. Colin Fleming (Ninewells Hospital, Dundee, UK). 27th Feb 2023. Characteristics of skin lesions datasets. Video

All previous talks where the authors have agreed to share the talk, can be found in our YouTube playlist.

Organizers

Amelia Jiménez-Sánchez & Veronika Cheplygina at IT University of Copenhagen (Denmark). This project has received funding from the Independent Research Fund Denmark - Inge Lehmann number 1134-00017B.

Newsletter

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