1.1.4 Fake Image Detection
Module 1: AI in Practice: Preparing for AI
Sarah Ibrahimi, PhD candidate Computer Vision at the Police Lab AI (Amsterdam) and the University of Amsterdam, presents a use case on the topic of fake image detection.
This videolesson is based on a scientific study; below we provide some additional information about this studies. Note: This additional information is not mandatory for the course and is primarily intended for learners who wish to dive deeper into the material.
- In the PowerPoint slides Maartje ter Hoeve mentiones the keynote by Ruha Benjamin on Deep learning. Additional information is among others to be found at Today and Venturebeat.
- Conversations with Documents. An Exploration of Document-Centered Assistance. Maartje ter Hoeve, Robert Sim, Elnaz Nouri, Adam Fourney, Maarten de Rijke, Ryen W. White. In: CHIIR 2020.
- BERT: Pre-training of Deep Bidirectional Transformers forLanguage Understanding. Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova. In: CoRR, abs/1810.04805, 2018.
AI in Practice: Preparing for AI by TU Delft OpenCourseWare is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
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