Advanced Summer School on Responsible AutoML
November 11th to 12th, 2025, CIn-UFPE
Partners
About
Dive into the future of AI with us at the "Advanced Summer School on Responsible AutoML"! This event is your gateway to the cutting-edge world of Automated Machine Learning (AutoML), all through the lens of ethical AI innovation. It's the perfect spot for researchers, students, and professionals alike to deepen their understanding, connect with like-minded individuals, and work together towards the responsible development of AI. Take this opportunity to improve your knowledge and skills in AutoML. Let's embark on this adventure together!
What you'll learn
- Measure and improve model fairness
- Build interpretable AutoML pipelines
- Mitigate risk with safe deployment
- Apply concepts in guided labs
Who should attend
- Students (undergrad and graduate) in CS/DS
- ML/AI researchers and practitioners
- Data scientists and ML engineers
- Anyone implementing trustworthy AI in practice
Team
Agenda
Morning
- 09:00Welcome
- 09:15Lecture 1 (part 1): Direções para uma ciência empírica de aprendizado de máquina - Carlos Soares
- 10:00Coffee break
- 10:30Lecture 1 (part 2): Direções para uma ciência empírica de aprendizado de máquina - Carlos Soares
- 11:15Hands-on workshop: Tool Installation
Afternoon
- 14:00Lecture 2 (part 1): Meta-learning beyond algorithm selection - Ana Carolina Lorena
- 14:45Coffee break
- 15:15Lecture 2 (part 2): Meta-learning beyond algorithm selection - Ana Carolina Lorena
- 16:00Hands-on workshop: Tools for robustness evaluation in time series machine learning - Moises Santos, Ricardo Gomes, Luis Amorim, Ines Gomes, Andre Souza, Mariana Oliveira
Morning
- 09:00Welcome (Day 02)
- 09:15Lecture 3 (part 1): Process design and transparency: two essential ingredients for responsible AI - Peter Flach
- 10:00Coffee break
- 10:30Lecture 3 (part 2): Process design and transparency: two essential ingredients for responsible AI - Peter Flach
- 11:15Hands-on workshop: Exploring AutoML in Imbalanced Regression Scenarios - Juscimara Avelino
Afternoon
- 14:00Lecture 4 (part 1): Do que se alimenta a IA: caracterização de dados, meta-aprendizado, filosofia e um pouco de arte - Adriano Rivolli
- 14:45Coffee break
- 15:15Lecture 4 (part 2): Do que se alimenta a IA: caracterização de dados, meta-aprendizado, filosofia e um pouco de arte - Adriano Rivolli
- 16:00Poster session
- 17:30Closing
Pricing
Professional
R$220
Includes full access and certificate
Postgraduate Students
R$120
Requires valid student ID
Undergraduate Students
R$120
Requires valid student ID
Location
Hosted at Centro de Informática - UFPE, Recife, PE, Brazil.
Centro de Informática — UFPE
Av. Jornalista Aníbal Fernandes, s/n
Ciudad Universitária, Recife — PE
50740-560, Brazil