Talks @ GAIPS: “Counterfactual Explanations and Algorithmic Recourse: Enhancing Interpretability and Transparency in Machine Learning Models” by Samuele Tonati
On September 26, GAIPS (Group of AI for People and Society) from INESC-ID, will host a talk titled “Counterfactual Explanations and Algorithmic Recourse: Enhancing Interpretability and Transparency in Machine Learning Models” presented by Samuele Tonati, a visiting PhD student at GAIPS from Scuola Normale Superiore Pisa (Italy) who is collaborating with INESC-ID researcher Rui Prada for his PhD research.
Date & Time: September 26, 11h00
Where: Room 1-44, Técnico – Oeiras, TagusPark | Online: here
Abstract: Samuele Tonati’s research focuses on using counterfactual explanations and recommendations to explain black-box machine learning models, emphasising properties like minimality, actionability, and diversity. It aims at assessing the robustness of these explanations to data shifts and examining the relationship between counterfactual distance and user effort. Additionally, his research explores trade-offs in designing counterfactuals and introduces customised metrics to evaluate feature change attainability, tailored to the needs of stakeholders like customers, practitioners, and compliance officers.
Image | © GAIPS
About INESC-ID
INESC-ID, “Instituto de Engenharia de Sistemas e Computadores: Investigação e Desenvolvimento em Lisboa” is a Research and Development and Innovation Organization (R&D+i) in the fields of Computer Science and Electrical and Computer Engineering. INESC-ID mission is to produce added value to people and society, supporting the response of public policies to scientific, health, environmental, cultural, social, economic and political challenges. INESC-ID promotes cooperation between academia and industry by addressing research on daily life issues, such as healthcare, space, mobility, agri-food, industry 4.0, and smart grids. This high level of knowledge transfer is achieved through both competitive research projects and direct contracted research. Public and private entities have therefore access to a pool of knowledge, resources and services provided through the unique competencies available at the institution.
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