Projekt

During major natural or man-made disasters, inadequate decisions on the supply of food, water,energy, shelters, medical and mental care, could have devastating impacts. In such events, "life and-death" decisions are made under time constraints, dynamic conditions, conflicting expectations, incomplete and uncertain information, infrastructure failures and insufficient resources to meet all urgent needs. Modern technologies enable the development of dedicated AI-based Decision-Support-Systems (DSS) for such abnormal conditions. Yet, the required decisions often involve conflicting and incomparable criteria (e.g. cost versus human survival and well-being). This raises questions concerning the rationalizability, subjectivity and ethical considerations of the involved decisions. Moreover, there is a need to investigate the levels-of trust in utilizing such AI-based systems. To explore the key socio-technical aspects of "AI to the Rescue", this project will rely on experienced decision- and policy- makers, as-well-as researchers from engineering, social and medical sciences. The envisioned research will focus on decisions concerning emergent medical operations during major disasters. The consortium will provide fresh ideas on the required AI-based DSS, in view of the unveiled socio-technical aspects.

• Prof. Dr.-Ing. Sanaz Mostaghim

  Universität Magdeburg
  Fakultät für Informatik
  Institut für Intelligente Kooperierende Systeme
  Lehrstuhl für Computational Intelligence
  Magdeburg
  

• Deciphering the COVID-19 Health Economic Dilemma (HED): A Scoping Review