Human-centered Machine Learning Workshop

Designing Positive Interactions with Machine Learning Systems

The Office of Research and its Human Performance Collaborative are hosting a Human-Centered Machine Learning workshop series.  Our goal is to position Ohio State as a leader in Human-Centered Machine Learning research in the next 3-5 years by putting together a multidisciplinary team of people from engineering, data science, social sciences, ethics, and other related areas to begin framing the problem.

If you are interested in participating, please click here to register for this Futures Workshop Series. All PI eligible faculty and staff are welcome to attend. 

The framing question (or place to begin) for this series of facilitated workshops will address the following:

What would it look like for Ohio State to become the leader of human-centered machine learning systems, which are accessible and interact with people in a way that creates a positive human experience?  

Samantha Krening, Mike Groeber, and a team of interdisciplinary colleagues submitted a proposal for this Futures Workshop which was selected by the leadership in the Office of Research and their Faculty Advisory Board. 

This workshop series is an initiative from the Office of Research’s Growing Research Opportunities program and designed to define ‘next big leap’ research questions or critical challenges in an identified topical area of interdisciplinary inquiry. There will be a total of up to six sessions lasting ~1.5 hours each taking place over multiple days to

1) define gaps in foundational understanding and/or technological barriers impeding scientific progress or the application of current knowledge or technologies to challenging human-center machine learning problems;

2) identify ‘next step’ research questions; and

3) assess Ohio State’s capacity to lead in identified question areas.

Human-Centered Machine Learning is a multidisciplinary venture that flourishes from the participation of numerous fields and application domains.  This work is strengthened by analyzing multiple application domains such as Machine Learning (e.g. Interactive Machine Learning, Reinforcement Learning, Human Perception of AI including Explainable AI and Ethics in AI, and Personalized ML) and User Experience (e.g. Psychology, Sociology, Ethics, Linguistics, Communications, Human-Computer Interaction & Human-Robot Interaction, Cognitive Engineering, Human Factors, and Ergonomics). 

During these sessions, we will engage in conversation around questions such as: 1) Given what we know about biology, psychology, and neuroscience, how can we design machine learning algorithms with a positive human-machine interaction for targeted disciplines including medicine and manufacturing; 2) How can we most effectively build Machine Learning systems that learn from, explain themselves to, or are trusted by people; 3) Which factors impact human perception, decision making, emotional responses, and overall experience; and 4) Are there ethical concerns regarding personalization or interaction within certain application domains?

Click here to learn more about the vision for the Human-Center Machine Learning futures workshop and whom should participate 

All sessions will be held via Zoom, and the first two workshops on this topic are scheduled to meet as follows:

Session 1: September 8th from 9:30am - 11:00am

Session 2: September 17th from 3:30pm - 5:00pm


If you are interested in participating, please click here to register for this Futures Workshop Series. All PI eligible faculty and staff are welcome to attend. 

If you have additional questions about this opportunity, please contact Jessica Buskirk at