Guided Project: Interaction with Machine Learning
Professor Alan Blackwell (Computer Science and Technology), Advait Sarkar (Microsoft Research) and Dr Anne Alexander (Director of Learning, Cambridge Digital Humanities)
This Guided Project aims to provide humanities, arts and social science researchers with an overview of current theory and practice in the design of human-computer interaction in the age of AI and equip the participants with analytical tools necessary for a critical investigation of contemporary design with AI/ML. Looking closely at interactions between humans and emerging AI systems, participants will also explore the potential for interaction between humanities scholars and computer scientists in the process of development and assessment of new solutions. The aim of the course is to allow researchers without a Computer Science background to explore how key challenges in AI design are being addressed within the field of interaction design, as well as identify areas in which humanities methodologies and approaches could be adopted to improve the production process, by making it more fair, critical, and socially-aware.
There are two key components in the Interaction with Machine Learning course. 
An online Methods Workshop which is open to University of Cambridge graduate students and staff taking place over two sessions on 11 and 14 October 2021. Up to 30 spaces are available for this Methods Workshop which can be booked as a standalone session without progressing to the next stage of the course. 
A Guided Project consisting of lectures and practical research design sessions in Interaction with Machine Learning taught by Professor Alan Blackwell and Advait Sarkar (Microsoft Research) as part of an optional course for Part III and MPhil Computer Science students. In line with current University policy these sessions are being planned for in-person delivery, however, this may change as a result of the pandemic. CDH-registered participants in the IWML lecture series will have the option of working jointly on a group project to be presented for discussion in the final course session. This will involve additional ad-hoc online meetings in between lecture sessions (around 4 hours in total, with times to be arranged among the participants). 
Access to the Guided Project is by application only and priority will be given to participants who have attended the Methods Workshop, or who can demonstrate an equivalent level of prior engagement with the content of the course. Spaces are limited to 15 participants.   
Please note: no prior practical experience or knowledge of programming is required to take part in the course, however some awareness of how AI systems work will be beneficial.
Time commitment: 
Methods Workshop: 2 x 1.5 hour online sessions on 11 and 14 October with optional self-paced practical work in between (approx 1-2 hours).  
Guided Project: 8 weekly lectures followed by research design sessions led by Professor Alan Blackwell (Computer Science and Technology) and Advait Sarkar (Microsoft Research). Weekly from 25 January, 2-4pm 
Timetable for applications for Lent Term
14 October applications open
15 November applications close
All participants will be notified by 1 December 
 Indicative lecture topics 
Current research themes in intelligent user interfaces 
Program synthesis 
Mixed initiative interaction 
Interpretability / explainable AI 
Labelling as a fundamental problem 
Machine learning risks and bias 
Visualisation and visual analytics 
Research presentations by Computer Science Students 
Exact topics are subject to change and will be confirmed closer to the date of the course. 
By the end of the course participants should:
have an overview of current state of the art in intelligent interactive systems
understand the human factors that are most critical in the design of such systems
be able to evaluate evidence for and against the utility of novel systems
be able to apply critical methodologies to current interaction design practices
understand the interplay between ML/AI research and humanities approaches  
This course is open to graduate students and staff at the University of Cambridge. Priority for the Guided Project in Lent Term will be given to applicants from humanities, arts and social sciences disciplines. Early career researchers are particularly encouraged to apply. 
Timetable for applications for Lent Term
14 October applications open
15 November applications close
All participants will be notified by 1 December
 This course is offered in collaboration with the Department of Computer Science and Technology.

Cambridge Digital Humanities

Tel: +44 1223 766886