Official website of the course "Human-AI Interaction" (code 01UJUIU) offered to Ph.D. students at Politecnico di Torino.
Short link to this page: http://bit.ly/polito-hcai
Course Organization
Teachers: Luigi De Russis, Alberto Monge Roffarello.
The course will be held primarly in person, with video-recorded lectures and the possibility of virtual attendance during the exercise (see the Introduction slides).
Students are encouraged to attend the classes with their laptops.
Course Topics
Artificial Intelligence (AI) has become increasingly present and integrated in our daily lives, with complex and often unpredictable solutions. This complexity and unpredictability make it difficult for users to understand, trust, and adopt such solutions with success. The course aims at introducing methodologies and techniques to design and build intelligent interactive systems that are usable and useful for all, also reflecting on the impact that AI applications have and will have on their users. A combination of lectures and workshop-style sessions will introduce students to different techniques for creating such intelligent systems across a few selected domains.
- Introduction to Human-AI Interaction
- Trade-offs in Human-AI Interaction
- Augmenting or replacing people?
- Direct manipulation or agents?
- Designing and evaluating human-centered AI systems
- Guidelines and methods
- Data, bias, and trust
- Paradigms for Human-AI Interaction
- Smart interfaces, conversational agents and chatbots
- Hands-on session: prototyping a conversational agent
Exam
The exam will consist in the evaluation of three exercises proposed and developed during the class hours.
A successfull completion of three out of four exercises is needed to pass the exam.
Schedule
The table below contains the schedule and the learning materials of all the lectures and exercises. Please consider the following information as a tentatitive preview of the course organization; it is provided only for helping students organize and plan, and is subject to change without notice.
All lectures will be video-recorded and will be available on the Portale della Didattica, as well as here and in a dedicated YouTube playlist.
| Date | Type | Details | Time | Room | Video | Teacher |
|---|---|---|---|---|---|---|
| 12/01/2022 | Lecture | Introduction | 14:30-16:30 | 7S |  |
Luigi De Russis |
| Lecture |
Madness session |
16:30-17:30 | 7S | |
Luigi De Russis | |
| 18/01/2022 | Exercise | Reading panels (to be prepared beforehand) | 09:00-13:00 | 7S | - | Luigi De Russis |
| 21/01/2022 | Lecture |
Fundamentals |
09:00-10:30 | 29B | |
Luigi De Russis |
| Lecture | Perspectives on Human-AI Interaction (cont'd) | 10:30-12:00 | 29B | |
Luigi De Russis | |
| 25/01/2022 | Lecture | Paradigms for Human-AI Interaction | 09:00-10:30 | 7S | |
Alberto Monge Roffarello |
| Exercise | Journey Map | 10:30-12:00 | 7S | - | Alberto Monge Roffarello | |
| 01/02/2022 | Lecture | Designing and Evaluating Interactive AI Systems | 09:00-11:00 | 7S | |
Alberto Monge Roffarello |
| Exercise |
|
11:00-13:00 | 7S | - | Alberto Monge Roffarello | |
| 03/02/2022 | Lecture | Conversational Agents | 09:00-10:00 | 7S | |
Alberto Monge Roffarello |
| Exercise |
Case study: designing and implementing a conversational assistant |
10:00-13:00 | 7S | - | Alberto Monge Roffarello | |
| 09/02/2022 | Exercise |
Case study (cont'd). Final presentation. |
09:00-13:00 | 29B | - |
Alberto Monge Roffarello Luigi De Russis |