Learn to recognize and understand the implications of Artificial Intelligence for organizations, and the importance of compliance and ethics when AI is applied in practice.
This is not about difficult algorithms and complex programming; it is for anyone interested in learning about the benefits and implications of AI when applied in practical settings.
After taking this course you will be able to:
1.Describe the benefits of implementing AI in organizations, in terms of context, problems, research approach and results.
2.Identify the implications of implementing AI in terms of improvement strategies for organizations in industry, academia and education.
3.Understand the aspects of AI compliance and ethics and their significance for your own organization.
4.Write about the implications of AI for industry, academia, education, or compliance and ethics.
This is built from five main topics on AI in Practice:
Multimodal Machine Learning and Image Analysis - the National Police Lab AI (National Police and University of Amsterdam) and AI for Scientific Discovery in Publishing - the Discovery Lab (Elsevier and Vrije Universiteit).
Exploiting Structure in Deep Learning - Delta Lab (Bosch and University of Amsterdam) and a Bonus Track on Questions for Data Scientists in Software Engineering (AI for FinTech Research).
Thematic Track on Compliance & Ethics of AI - a variety of labs (University of Twente, Vrije Universiteit, ING, and Dutch National Police).
AI Applications in FinTech - the AI for FinTech Research (ING and Delft University of Technology).
Robotics - the AIRLab Delft (Ahold Delhaize and Delft University of Technology).