Interaction Designer & AI Creative Coder
Presenter Profile: Andreas Refsgaard is an interaction designer and creative coder based in Copenhagen. He uses algorithms and machine learning to make unconventional connections between inputs and outputs. His works have been published in New Scientist, Vice, Gizmodo, PSFK and Designboom, awarded by Interaction Awards and Core77 and exhibited in museums and at festivals in Europe, North America, Asia and Australia. Andreas has been a public speaker at international events like Mutation, openVTR, OEB Conference, DIGITEC, NextConf, Bump, Space10 and Roskilde Festival and taught workshops on creative computation, interaction design and machine learning at institutions like CIID, KIKK, ECAL, Umeå Institute of Design, LUCA School of Arts, Resonate, Hyper Island, Design School Kolding, ofCourse and SchoolOfMa. Andreas is a regular contributor to ml4a, a free resource on machine learning for artists and regularly publishes videos, texts and tutorials in attempt to demystify machine learning and facilitate a greater public understanding of the subject. Andreas holds a MSc IT from IT University of Copenhagen and a Bachelor in Sociology from University of Copenhagen and attended the 1-year Interaction Design Programme at Copenhagen Institute of Interaction Design in 2015.
Presentation Title: CreativeOps
Outline: Andreas will talk about the future of AI in interaction design , creative ops and how we will work with machines to co-intelligently work together to create inspiring and unexpected outcomes.
In addition Andreas will be running a workshopsIn this playful workshop where he will teach participants how to make simple websites that can be trained to react to costume inputs from users. The workshop will work as a hands on introduction to machine learning with a focus on creating your own interactive applications that live on the web. Besides being a hands on introduction to simple artificial intelligence the workshop will teach participants to: • Make interactive websites that can learn and react to user input from the webcam • Train supervised machine learning algorithms in minutes • Use the friendly ml5js library that builds on top of Tensorflow.js Requirements: Bring your own computer with a functional webcam and Google Chrome installed. Experience level: No prior coding or machine learning knowledge required.
Company Website: https://andreasrefsgaard.dk