DiscoverHuman-Centered Machine Learning
Human-Centered Machine Learning
Claim Ownership

Human-Centered Machine Learning

Author: Halmstad University

Subscribed: 4Played: 4
Share

Description

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. Read more: dap.hh.se
12 Episodes
Reverse
How can we systematically work with ethics and risks with services based on machine learning and other AI techniques? In this final episode, Cristofer and Pontus is talking to Vaike Fors, Associate Professor with a focus on design ethnography. Vaike has a long experience from working with design of services in the autonomous vehicles space.
Autonomous vehicles present a wide range of interesting design problems. Sigma Dolins, researcher at RISE's Sustainable Transport Team presents interesting cases surrounding dynamic ride-pooling, the experience of being both inside and outside of autonomous vehicles.
Healthcare is undergoing big changes on many fronts. One of the drivers for change is the race for health data and the many applications of data-driven services in all parts of the healthcare ecosystem. Anita Sant'Anna – PhD and consultant with over 12 years of research experience in signal and data analysis for health care applications – talks about some issues related to data collection and what human-centered design can bring to the healthcare sector.
In this episode, Jeanette kicks off the applied part of the course. Our guest is Martin Cooney, Assistant Professor in Artificial Intelligence and Robotics. Jeanette and Martin heads into the fast-moving space of EdTech, where AI techniques can help – and possibly hinder – learning and education.
In this episode Pontus talks to Chris Noessel, author of the book Designing Agentive Technology, about what designers need to know in order to design services that act on users’ behalf. This episode was recorded at the annual design conference From Business To Buttons, which feature international prominent speakers in the overlap between AI and Service Design.
In this episode, we’ll change gear a little bit. We’re discussing the role of human-centered design and its relation to data-driven services. We'll talk about how to consider users' mental models and expectations in our designs, how we move from rule-based tools to probability-based user experiences with "agentive" technology. We'll also talk about how to convey AI capabilities to the user gradually as they start using the service, and how to manage take-back and handoff between the system and the user. Important factors to consider is the "human-like" qualities in an AI-powered service and how we can achieve transparency and be able to explain the different service experience outcomes in different situations. Pontus will talk about this (and other things!) with Gustav Martner, CEO at ICA Reklam and founder of Digital Reliance.
Generative Adversarial Networks – or GAN – is powerful newcomer in the AI realm. GANs can be used to generate new data, that can help train new models as well as test and validate AI-based systems. Cristofer’s and Stefan’s guest this time is Edvin Listo Zec from RISE, who will discuss opportunities and risks with GANs.
“Deep Learning” marks the beginning of a new AI era, starting around 2012. Deep Learning is part of the reason AI has expanded so much recently. In this episode, Cristofer and Stefan discuss the basics of Deep Learning with Anders Holst from RISE.
Building machine learning applications require a lot of practical work and experience. Off-the-shelf solutions need to be tweaked and tailored to fit your organization’s needs and goals. The practicalities of implementing Machine Learning techniques is the topic of this episode. Stefan and Cristofer continue their discussion with Anders Holst from RISE.
Cristofer and Stefan head deeper into AI, and focus on Machine Learning, together with Anders Holst from RISE.
loading
Comments 
loading
Download from Google Play
Download from App Store