MELISSA – Mobile Artificial Intelligence Solution for Diabetes Adaptive Care2024-05-06T10:05:33+02:00

MELISSA – Mobile Artificial Intelligence Solution for Diabetes Adaptive Care

The use of AI enabled personalized devices to manage health is a rapidly growing industry. The ethical concerns and challenges accompanying this trend is an important question to confront as these tools are being developed and forms of governance are being considered.

The number of people being diagnosed with diabetes is growing across the globe, with the WHO estimating that it was the ninth leading cause of death worldwide in 2019. Diabetes management and treatment is, thus, an increasingly important issue for healthcare systems worldwide. This EU Horizons funded project’s main objective is to provide a clinically validated, efficient and cost-effective AI-based digital diabetes management solution, providing personalized treatment and care recommendations.

As part of the consortium, the TUM IEAI will investigate the ethical aspects related to trustworthy AI to provide user requirements and recommendations to the development teams.

Research Output:

Beyond the Metal Flesh: Understanding the Intersection between Bio and AI Ethics for Robotics in Healthcare

Research Brief: Ubuntu Ethics in AI for Healthcare: Enabling Equitable Care

Publication: Invigorating Ubuntu Ethics in AI for healthcare: Enabling equitable care

Principle Investigator

Christoph Lütge
Christoph LütgeTUM School of Social Sciences and Technology

Researcher

Alexander Kriebitz
Alexander KriebitzTUM School of Social Sciences and Technology
Raphael Max
Raphael MaxTUM School of Social Sciences and Technology
Lameck AmugongoTUM School of Social Sciences and Technology
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