Teaching and Learning Center
- Seminari
A three-day cycle promoted by the Nursing Sciences Sector and the Turin Nursing Professions Association, with the patronage of the UniTO Teaching and Learning Centre, to critically examine the role of AI in social, educational and healthcare contexts.
The days will include thematic sessions and interdisciplinary round tables.
Once the maximum number of places has been reached and for those residing outside the Piedmont Region, a link will be provided to access the online platform.
PLEASE NOTE: In order to obtain ECM credits, it is necessary to attend the accredited days in person.
For any queries, please write to ai4edu@unito.it
Time: 9:00 a.m. to 1:00 p.m.
Participant registration: Starting at 8:30 a.m.
10 February 2026 - Kepler Hall, Molecular Biotechnology Centre, Via Nizza 52, Turin
The first day introduces the conceptual and ethical framework of AI. Contributions address the theme of digital transformation in education and healthcare systems, the promises and risks of generative technologies, and issues of governance, accountability, transparency and rights protection. The dialogue between scholars of communication, law, ethics and digital policy will focus on how AI is redefining decision-making processes and forms of knowledge authority.
11 March 2026
Aula Magna di Igiene, Department of Public Health and Paediatrics, Via Santena 5bis, Turin
The second day is dedicated to the impact of AI on university and professional training in the healthcare sector. The focus is on educational design in the era of generative systems: skills development, assessment, feedback, the role of teachers and the conscious use of digital tools. Through concrete examples, platforms and immersive environments, the day explores how to integrate AI into educational processes while maintaining quality, equity and academic integrity.
10 April 2026
Kepler Hall, Molecular Biotechnology Centre, Via Nizza 52, Turin
The third day will focus on the use of AI in clinical practice, with a discussion of experiences in its use. Particular attention will be given to predictive models, data quality and algorithm validation. The aim is to discuss when and how an AI system can be relied upon for clinical decision support without compromising patient safety and the value of the care relationship. The concluding round table will focus on the theme of augmented healthcare, capable of integrating technological innovation and professional responsibility.
REGISTRATION OPENS: 20 January 2026
REGISTRATION CLOSES: 3 February 2026
Pre-registration is available via the online form.
Scientific Managers
Prof. Valerio Dimonte
Prof.ssa Sara Campagna
Prof. Marco Clari
Dot.ssa Beatrice Albanesi
Dott. Alessio Conti
Dott.ssa Sivlia Gonella
Training Designer
Dott.ssa Ornella Baldan
Organizer Committee
Dott.ssa Elena Casabona
Dott.ssa Federica Riva-Rovedda
Dott.ssa Isabella Santomauro
Dott. Riccardo Casciaro
Dott.ssa Safae El Motarajji
Dott.ssa Daniela Chiarini
Dott.ssa Arianna Sannino
Dott.ssa Chiara Lioce
Dott. Luca Bottero
Molecular Biotechnology Centre
Via Nizza 52, Turin (TO), 10126
Taxi / Car
The centre can be reached by taxi from anywhere in the city.
By train
From both stations (Torino Porta Nuova and Torino Porta Susa), take the M1 underground line (towards Lingotto) and get off at Nizza station. The centre is a few minutes' walk away.
By underground
Line M1 (Fermi ↔ Bengasi): get off at the Nizza stop; the centre is a few minutes' walk away.
By bus / tram
Lines 18, 42, 67; get off at the “Nizza” or “Donizetti” stop; the centre is a few minutes' walk away.
Department of Public Health and Paediatrics
Via Santena 5bis, Turin (TO), 10126
By underground
Line M1 (Fermi ↔ Bengasi): get off at Spezia station; the centre is a few minutes' walk away.
By bus
City bus lines 17, 18, 42, 66, 74; get off at Torino – Via Nizza – Corso Spezia or Spezia; the centre is a few minutes' walk away.
Taxi/Car
The centre can be reached by taxi from anywhere in the city.
By train
From both stations (Torino Porta Nuova and Torino Porta Susa), take the M1 metro line (towards Lingotto) and get off at the Nizza stop. The office is a few minutes' walk away.
