HumanIA

"Designing and Deploying AI through Digital Humanities"

Training Objectives

• Understand artificial intelligence systems (Module 1)
• Master the ethical challenges of AI (Module 2)
• Deploy and use AI tools (Module 3)

Format & Logistics

• Duration: 6 days (2 days/module)
• Format: Online / Hybrid / In-person
• Dates: See training calendar below
• Location: SCAI – Sorbonne Center for Artificial Intelligence, 4 Place Jussieu, 75005 Paris

Target Audience: AI system deployers and users; project managers, engineers, researchers, legal experts, journalists, policy makers, civil servants, etc.

Curriculum

Module 1 – Understanding AI Systems

Thursday, November 6, 2025

• 8:30 AM – Welcome coffee
  
• 9:00 AM – Opening remarks – Gérard Biau, Director of SCAI, Professor at Sorbonne University, Member of the French Academy of Sciences
• 9:30 AM – Introduction to machine learning, deep learning, and NLP – Xavier Fresquet (Deputy Director of SCAI) & Nicolas Thome (Professor, Sorbonne University)
• 11:00 AM – Explaining AI outcomes – Marie-Jeanne Lesot, Professor, Sorbonne University
  
  
• 1:00–2:00 PM – Lunch break
  
  
• 2:00 PM – History of technology and artificial intelligence – Pascal Griset, Professor, Sorbonne University
• 4:00 PM – Case study: Multilingualism in NLP – Gaël Lejeune, Sorbonne University
  
  
• 6:00 PM – End of day

Friday, November 7, 2025

• 8:30 AM – Welcome coffee
  
• 9:00 AM – History of technology and AI – Benjamin Thierry, Associate Professor, Sorbonne University
• 11:00 AM – Human–machine interaction – Clothilde Chevet, Faculty of Arts, Sorbonne University
  
  
• 1:00–2:00 PM – Lunch break
  
• 2:00 PM – Geopolitics of AI – Philippe Boulanger, Professor, Sorbonne University
• 4:00 PM – Case study: Digital Delacroix – Barthélémy Jobert (Professor, Sorbonne University) & Nicolas Leys (Institut des Sciences du Calcul et des Données)
  
  
• 6:00 PM – End of day

Module 2 – Mastering the Ethical Challenges of AI

Thursday, November 20, 2025

• 8:30 AM – Welcome coffee
  
• 9:00 AM – Ethics and philosophy of science – Anouk Barberousse, Professor, Sorbonne University
• 10:30 AM – Ethics of artificial intelligence – Jean-Cassien Billier, Associate Professor, Sorbonne University
• 12:00 PM – Sociology of artificial intelligence – Pierre-Marie Chauvin, Associate Professor, Sorbonne University
  
  
• 1:00–2:00 PM – Lunch break
  
• 2:00 PM – Language, linguistics and AI – Motasem Alrahabi, Research Engineer, Sorbonne University
• 4:00 PM – Case study: Digital reconstruction of Notre-Dame (Plémo 3D)
  
  
• 6:00 PM – End of day

Friday, November 21, 2025

• 8:30 AM – Welcome coffee
  
• 9:00 AM – Discrimination and AI – Raphaële Xenedis, Associate Professor, Sciences Po Paris
• 11:00 AM – Sociology of AI – Jean-Philippe Cointet, Professor, Sciences Po Paris
  
  
• 1:00–2:00 PM – Lunch break
  
• 2:00 PM – Case study: AI and artistic creation – Xavier Fresquet (SCAI), Jérôme Nico, Nicolas Obin (IRCAM), Obvious / Hugo Caselles-Dupré
• 5:00 PM – End of day

Module 3 – Deploying and Using AI Tools

Thursday, December 4, 2025

• 8:30 AM – Welcome coffee
  
• 9:00 AM – Education, teaching and AI – Laurent Petit, Professor, Sorbonne University
• 11:00 AM – The role of ethics in the workplace – Adrien Tallent, PhD candidate, Sorbonne University
  
  
• 1:00–2:00 PM – Lunch break
  
• 2:00 PM – Deploying AI tools in organizations – Céline Gainet, Associate Professor, Sorbonne University
• 3:30 PM – Case study: Implementing technical standards – AFNOR
  
  
• 5:30 PM – End of day

Friday, December 5, 2025

• 8:30 AM – Welcome coffee
  
• 9:00 AM – AI law – Arnaud Latil, Associate Professor, Sorbonne University
• 11:00 AM – Copyright law and AI – Speaker to be confirmed
  
  
• 1:00–2:00 PM – Lunch break
  
• 2:00 PM – Case study: AI for justice
  
  
• 5:30 PM – End of day
   

Trainers & Speakers

The sessions are led by university professors, researchers and professionals specialized in AI, digital humanities, sociology, ethics, and digital transformation.

 Certification

Final assessment (multiple-choice quiz) leading to a digital certificate of completion.

Teaching Methods

• Mix of theoretical content and hands-on sessions
• Active and flipped learning
• Individual and group mini-projects
• Teaching materials: slides, videos, readings, exercises, notebooks
• Participants must bring their own laptops.
• Some software installations may be required – detailed instructions will be provided in advance.