This MOOC gives an introduction to trustworthy artificial intelligence and its application in healthcare. This includes modules on basics of artificial intelligence and an introduction to trustworthy and ethical applications of artificial intelligence. A dedicated lesson will present the Z-Inspection® process for assessing trustworthy AI, and real-world case studies will illustrate how to apply the knowledge.
Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.
The course is aimed at healthcare professionals, patients, and AI practitioners. It does not require previous knowledge on AI.
Participants will learn:
- How AI systems work and learn
- What tasks can be solved by AI
- Common challenges for AI in healthcare
- Fundamentals of Trustworthy AI
- How to assess Trustworthy AI
- How Trustworthy AI assessments look in practice
This course was developed by Goethe University Frankfurt as part of the research project 'Pan-European Response to the Impacts of the COVID-19 and future Pandemics and Epidemics' (PERISCOPE). Funded by the European Commission Research Funding programme Horizon 2020 under the Grant Agreement number 101016233, PERISCOPE investigates the broad socio-economic and behavioural impacts of the COVID-19 pandemic, to make Europe more resilient and prepared for future large-scale risks.
Syllabus
WEEK 1
Introduction
Artificial Intelligence has the potential to drastically alter the healthcare sector. To maximize benefits and mitigate unintended negative consequences, the European Commission's High-Level expert group on Artificial Intelligence proposed a framework for Trustworthy Artificial Intelligence.
This modules provides an overview on artificial intelligence in the healthcare sector, Trustworthy AI, and what topics the following modules will touch in more detail.
Introduction to Artificial Intelligence in Healthcare
The later modules in the course will expect some basic knowledge on artificial intelligence, which will be introduced in this module. The introduction will focus on very high level concepts and will be free of formulae. First, we will bring some clarification on the term "artificial intelligence" (or AI for short) and give a historical overview on how AI was applied in healthcare and how this application changed over time. We also go over possible applications of AI in healthcare, and show common challenges AI systems face. Finally, we will go over some of the ways AI systems can be made understandable to humans users.
WEEK 2
Introduction to Trustworthy Artificial Intelligence
This module is an introduction to Trustworthy Artificial Intelligence. First, we will introduce the Ethics Guidelines for Trustworthy AI, especially the core ethical principles for trustworthy AI systems, and key requirements to implement them. Then, we will have a look at Z-Inspection®, a process to assess trustworthy AI in practice.
WEEK 3
Case Studies of Artificial Intelligence in Healthcare
In this module, we will look at three different case-studies, to see examples of the application of AI in healthcare and how trustworthy AI assessments can look in practice.
Recap
In this module we recap the course content and give practical recommendations for the assessment and implementation of AI systems in healthcare.
