Where: Le Nereidi Hotel, La Maddalena, Italy

When: 04-09th June 2023

The “AI & Society Summer School” is open to PhD students and researchers in AI and medicine. Five thrilling days of lectures, panel, poster sessions and proactive project work, to advance the frontier of AI research together with internationally renown scientists. And plenty of social activities to mix up and build the community of next-generation AI researchers, innovators and professionals.

The AI & Society Summer School 2023 event was organised as part of the SoBigData.it project (Prot. IR0000013 - Call n. 3264 of 12/28/2021) initiatives aimed at training new users and communities in the usage of the research infrastructure (SoBigData.eu). 

SoBigData.it receives funding from European Union - NextGenerationEU - National Recovery and Resilience Plan (Piano Nazionale di Ripresa e Resilienza, PNRR) - Project: “SoBigData.it - Strengthening the Italian RI for Social Mining and Big Data Analytics” - Prot. IR0000013 - Avviso n. 3264 del 28/12/2021.

Sunday 04/06

19:00 – 21:00 Social Welcome Aperitivo

Monday 05/06

08:30 – 09:00 Registration

09:00 – 09:45 Welcome & Introduction
Dino Pedreschi, University of Pisa, PhD-AI.it coordinator

09:45 – 10:30 Future Artificial Intelligent Research

 Dino Pedreschi, University of Pisa

10:30 – 11:00 Coffee break

11:00 – 11:45 Project work

11:45 – 12:30 Project work

12:30 – 13:30 Lunch

13:30 – 14:30 Poster session

14:30 – 16:00 Panel on Opportunities of AI & Healthcare

Giuseppina Sgandurra, University of Pisa

Francesca Fedeli, Fight the Stroke Foundation 

Dino Pedreschi, University of Pisa

Jeroen van den Hoven, TU Delft) 

Giovanni Arras, PhD Student

Tuesday 06/06

09:00 – 10:30 Challenges in Computer Vision, NLP with Generative AI 

Rita Cucchiara, University of Modena & Reggio Emilia

10:30 – 11:00 Coffee break

11:00 – 12:30 Digital Ethics: Thinking about moral responsibility in the age of AI and Big Data

Jeroen van den Hoven, TU Delft     

12:30 – 13:30 Lunch

13:30 – 14:30 Poster session

14:30 – 16:00 Project work

16:30 – 18:00 Social Tour

Wednesday 07/06

09:00 – 10:30 How can we avoid confusion in the global conversation about AI regulation?

Alistair Knott, Victoria University of Wellington 

10:30 – 11:00 Coffee break

11:00 – 12:30 Hybrid Decision Making

Fosca Giannotti, Scuola Normale Superiore   

12:30 – 13:30 Lunch

13:30 – 14:30 Poster session

14:30 – 16:30 Project work

20:00 - 22:00 Social Dinner at Le Nereidi Hotel

Thursday 08/06

09:00 – 09:45 Combining Brain structure on MRI and functional outcomes in Cerebral Palsy

Roslyn Boyd, University of Queensland

09:45 – 10:30 Innovations in the automated analysis of MRI

Alex Pagnozzi, University of Queensland

10:30 – 11:00 Coffee break

11:00 – 11:45 Machine learning for sensor-enabled activity recognition and habitual physical activity assessment in children and adolescents with neuro-impairment

Stewart Trost, University of Queensland

11:45 – 12:30 New perspectives on the use of wearable sensors in children

Silvia Filogna and  Elena Beani, IRCCS Fondazione Stella Maris

12:30 – 13:30 Lunch

13:30 – 14:30 Poster session

14:30 – 16:30 Project work

Friday 09/06

09:00– 10:30 MiniCoDe: Minimise algorithmic bias in Collaborative Decision Making with Design

Tommaso Turchi, University of Pisa 

10:30 – 11:00 Coffee break

11:00 – 12:00 MiniCoDe: Minimise algorithmic bias in Collaborative Decision Making with Design

Tommaso Turchi, University of Pisa 

12:00 – 12:30 Project work presentation and evaluation

12:30 – 13:30 Lunch

13:30 – 18:00 Project work presentation and evaluation

18:00 – 18:30 Awards Ceremony

The lectures will take place during the morning from 09:00 to 12:30 (from Monday to Friday). They will cover 20 hours in total.

The slides of the speakers are available here.

Each Ph.D. student will present his/her research activity/project with a poster, in prospect of the thesis proposal.

Each day (13:30 – 14:30 from Monday to Thursday) a group of about 15-16 students will present their research project (we will communicate the assigned to each day).

The posters of the students are available here.

The project work consists of a team work (Monday to Thursday, 14:30 – 16:30) each group will work to elaborate a research project proposal on a specific topic regarding Artificial Intelligence, broadly related to the AI&Society area.

Each proposal should be prepared by taking into consideration the following guidelines:

• Objectives and State-of-the-art: Specify the proposal objectives in the context of the state of the art in the research field. It should be clear how and why the proposed work is important for the field.

• Ambition and research challenge: Specify any particularly challenging or unconventional aspects of the proposal, including multidisciplinary aspects and the possible ambitions of the proposed work that will advance the state of the art.

• Proposed methodology: Describe the proposed methodology including any intermediate goals. Explain and justify the methodology in relation to the state of the art, and particularly novel or unconventional aspects addressing the ‘high-risk/high-gain’ balance. Highlight methods and data will be used in order to reach the proposed objectives.

• Case studies: Describe and discuss possible case studies and application scenarios that could be useful for demonstrating the potential of the proposed project.

• Impact on science, technology and society: Discuss what impact proposed work will have if successful, such as how it may open up new horizons or opportunities for science, technology, economy, social life, and industry.

The topic could be chosen by each group among the ones suggested by the Organization Committee (see next section), or proposed directly by the group.

The projects of the students are available here.

• Social AI for smart-cities

• AI Challenges in the Social Media World

• AI impact on Education, Health and Labour

• Human-in-the-loop in AI

• AI for Cultural Heritage

• Explainable AI for synergistic Human-AI collaboration

• Neuro-symbolic machine learning, integration of Learning and Reasoning

• Lifelong (continual, incremental) Learning for Complex Data

• Human-AI Socio-technical Complex Systems

• Decentralized, Federated, Cooperative Learning

• Co-design methodologies for Trustworthiness-by-design

The PhD students have to form 8 groups.

The groups and the project work proposal topics should be defined in advance, before the beginning of the Summer School week, in order to allow the Ph.D. students to organize in time and work actively on the project during the Summer School week.

The guiding criteria for the groups’ creation are diversification and interdisciplinarity, therefore to help you in forming the groups, you could use this document https://docs.google.com/spreadsheets/d/1adc9gr-xNsDdlgfoSyY5ie-tl90SZF5d/edit?usp=sharing&ouid=113942079499093029955&rtpof=true&sd=true where all the Ph.D. student educational background and current research projects are reported.

Given the geographical distance among the Ph.D. students current different locations, it will be possible for them to use the virtual space of the AI-Colloquium (on Microsoft Teams) to facilitate communication and coordination between the groups. We have already created 8 channels (one for each group) that Ph.D. students can use for confronting and interacting remotely.

The objective of the research Project Work afternoon activity is to realize a final presentation that will be evaluated by an evaluation Panel.

• Fosca Giannotti, Scuola Normale Superiore, Pisa

• Giuseppina Sgandurra, University of Pisa

• Giuseppe Prencipe, University of Pisa

• Roslyn Boyd, University of Queensland

The presentation will be carried out during the Friday afternoon (9th June 2023) from 13:30 to 18:00. Each group will have 15 minutes to present their own work.

Each group has to prepare some slides for a presentation of 15 minutes.

The group can select only one member who will present the project or can decide for a presentation with multiple speakers.

For the evaluation the panel will take into account:

• novelty of ideas

• motivation of the proposal

• multidisciplinary vision of the project

• proposal feasibility

• Simone Farinella, University of Pisa

• Rosie Mongini, University of Pisa

• Anna Monreale, University of Pisa

• Dino Pedreschi, University of Pisa

• Giuseppe Prencipe, University of Pisa

• Vittorio Romano, ISTI-CNR

• Giuseppina Sgandurra, University of Pisa

The registration fee is 500 € that covers:

• course material

• social events

• coffee breaks

All inquiries should be sent to: thefunconference@gmail.com