Fighting COVID19 with AI – How to build and deploy solutions we trust? – WS 14 2020

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Consolidated programme 2020 overview / Day 2

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Final title of the session: Please send the final title as early as possible, latest until to wiki@eurodig.org. Do not edit the title of the page at the wiki on your own. The link to your session may otherwise disappear.

Working title: Algorithms, deep learning, competition and trust
Proposals: #52, #80, #82, #96, #160 (#76, #86, #106, #181)

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Session teaser

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The COVID-19 pandemic has resulted in an unprecedented situation which has called for unprecedented solutions, including a rapid development of applications based on Artificial Intelligence (AI) and data. These solutions are essential in tackling the pandemic, as applications can benefit treatment as well as generate a specific overview of the spread. However, these solutions could be introducing potential risks such as biases and privacy issues.

Such examples display the dilemmas surrounding the application of AI and data in general. The question is how to address these serious risks and ensure the trustworthy use of AI and data, while reaping the benefits and opportunities stemming from the new technologies? This session aims at looking at the regulatory as well as non-regulatory toolbox for AI and data by discussing practical models and tools on how to ensure secure, ethical and trustworthy usage of AI and data without stifling innovation.

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ITU AI/ML in 5G Challenge [1]

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Focal Point

  • Julia Katja Wolman
  • Maria Danmark Nielsen

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  • Nadia Tjahja
  • Narine Khachatryan
  • Moritz Schleicher
  • Amali De Silva-Mitchell
  • André Melancia
  • Ashwini Sathnur
  • Marie-Noemie Marques

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