Machine learning is one of the most important and successful techniques in contemporary computer science, with applications ranging from from medical research to the arts, as well as considerable recent interest in its use for interaction design. It is often conceived in a very impersonal way, with algorithms working autonomously on passively collected data. However, this viewpoint hides considerable human work of tuning the algorithms, gathering the data, and even deciding what should be modeled in the first place.
Examining machine learning from a human-centered perspective includes explicitly recognising this human work, as well as reframing machine learning workflows based on situated human working practices, and exploring the co-adaptation of humans and systems. A human-centered understanding of machine learning in human context can lead not only to more usable machine learning tools, but to new ways of framing learning computationally. This workshop will bring together researchers to discuss these issues and suggest future research questions aimed at creating a human-centered approach to machine learning. We will also invite participants to help us in establishing and maintaining a community around human-centred machine learning, including running a follow-up workshop at a machine learning conference such as NIPS.
We invite participants to submit 2-6 page position papers in the CHI extended abstracts format to be submitted via our EasyChair electronic submission site (https://easychair.org/conferences/?conf=hcml2016).
Topics may include (but are not limited to):
the role of humans in current machine learning
usability challenges of machine learning
new machine learning methodologies based on human-centered research
new human-centered machine learning systems
evaluation methods for human-centered machine learning
human-centered machine learning in domains such as arts, science, social science and accessible computing.
Papers will be reviewed by committee members and accepted authors will present at the workshop. At least one author of each accepted position paper must attend the workshop and must register for both the workshop and for at least one day of the conference. Presentations will be in a panel format to encourage discussion: 3-4 participants will present together as part of a thematic panel. Each panel participant will give a short (10 minute) presentation of their work followed by a joint discussion.