In this course we will explore the challenges presented when designing AI-powered services. In particular, we will take a look at Machine Learning (such as deep learning and generative adversarial networks), and how that can be used in human-centered design of digital services. This course is created for User Experience (UX) professionals, Service Designers, and Product Managers as a way to help take a human-centered approach to AI in their work. The course is also useful for developers and engineers who want to both learn more about different Machine Learning techniques, and at the same time get a deeper understanding of the importance of a human-centered approach to digital design. The podcast is developed by Pontus Wärnestål, Stefan Byttner, Cristofer Englund and Jeanette Sjöberg at Halmstad University in Sweden, and is financed by VINNOVA. Music by Lee Rosevere. Read more: dap.hh.se

Latest episodes of the podcast Human-Centered Machine Learning

• Bonus Episode: Halland Tech Meet (in Swedish)
• Episode 12: Ethical Challenges in AI with Vaike Fors
• Episode 11: AI and Mobility with Sigma Dolins
• Episode 10: AI in Healthcare with Anita Sant'Anna
• Episode 09: Application – Learning and Education with Martin Cooney
• Episode 08: Agentive Technology with Chris Noessel
• Episode 07: Designing AI Services with Gustav Martner
• Episode 06: Generative Adversarial Networks with Edvin Listo Zec
• Episode 05: Deep Learning with Anders Holst
• Episode 04: Practical Machine Learning with Anders Holst
• Episode 03: Machine Learning with Anders Holst
• Episode 02: What is Artificial Intelligence? – with Anders Holst
• Episode 01: Introduction