Using AI in the Fight Against COVID-19
Zeng Yi and Sun Kang from the Research Center for AI Ethics and Safety, Beijing Academy of Artificial Intelligence have written about the use of AI to investigate and understand COVID-19.
This has included using deep learning models to predict potential virus hosts based on gene sequence analysis and studying different coronaviruses. AI has also been used to assist the diagnostics of COVID-19, especially with automated CT image recognition and virus detection. Intelligent services have been provided by automated dialogue systems along with robots used to reduce physical interaction between patients and healthcare workers. Automated surveillance has also been used to find and control potential risks.
The use of AI in these circumstances, however, have led to technical and ethical risks on privacy, bias, safety, and accountability. As more personal information has been collected, the question of access control and release of the data should be regulated accordingly.
The Institute for Advanced Study (IAS) and Data Science Center (DSC) of the University of Amsterdam (UvA) are joining forces in a new joint fellowship for (teams of) researchers interested in exploring the intersection of data science and other disciplines. The first fellow of the new program, Dr. Davide Ceolin, will start his fellowship at the IAS on June 17. Ceolin is currently affiliated with CWI.
Nanda Piersma, lecturer at the University of Applied Sciences (AUAS), has been appointed as a crown member of the Social and Economic Counsil (SER). This is the first time that a lecturer has been appointed as member of the SER. Nanda Piersma was approached because of her expertise in the field of digitisation.
The ADS Thesis Awards aim to promote excellence in Data Science and AI from students at BSc and Master level. The Awards are open to students from all Amsterdam-based knowledge institutes.