Students from Engineering background should have basic knowledge about machine learning systems. Practical experience in developing AI systems is preferred but not required. Students from Design should be familiar with a human-centred design approach and representation tools (e.g. Adobe Illustrator, ProCreate, or similar, …).

The course aims to enable design and engineering students to: • Understand and outline machine learning systems as socio-technical systems; • Identify and use values to drive the design of machine learning systems; • Anticipate possible impacts of machine learning systems in practical, personal, social, cultural, and eco-systemic dimensions; • Identify and exploit the core characteristics and capabilities of machine learning systems in suitable applications; • Generate relevant, consistent, effective, ethically acceptable, sustainable, and desirable design concepts including machine learning systems; • Communicate and collaborate in an interdisciplinary teams to develop a machine learning system.

DAY 1

09.30 – 10.30 | Technology is not neutral (course and topic introduction + ice-breaking activity)

10.45 – 12.30 | A responsible and value-driven approach to the design of machine learning (ML) systems (lecture + beginning of group-work) 

12.30 – 13.30 | Lunch break

13.30 – 15.30 | Problem framing (group work)

15.45 – 16.30 | Peer review session

 

DAY 2

09.30 – 10.30 | Getting in touch with machine learning (lecture)

10.30 – 11.30 | Exploration and attempt to define ML capabilities (group work)

11.45 – 12.30 | ML Agents explanation (lecture)       

12.30 – 13.30 | Lunch break

13.30 – 14.30 | Training of VALUable ML Heroes designers (formative tests)

14.45 – 16.30 | VALUable ML Hero concept development (brief & tools intro + group work)

 

DAY 3

09.30 – 12.30 | VALUable ML Hero concept development (group work)

12.30 – 13.30 | Lunch break

13.30 – 14.30 | Peer review session

14.45 – 16.30 | VALUable ML Hero representation (group work)

 

DAY 4

09.30 – 12.30 | VALUable ML Hero representation (group work)

12.30 – 13.30 | Lunch break

13.30 – 16.30 | Testing VALUable ML Heroes (peer review activity)

 

DAY 5

09.30 – 12.30 | Finalization of VALUable ML Hero representation (group work)

12.30 – 13.30 | Lunch break

13.30 – 15.30 | Final presentation and peer review

15.45 – 16.30 | Lessons learnt and discussion

Intermediate formative tests and reviews, and final project presentation.

Visit of Milan by day and night with aperitivos and pizza party.