Research project

XAI - Science and technology for the explanation of AI decision making (DIT.AD004.097)

Thematic area

Engineering, ICT and technologies for energy and transportation

Project area

Dati, Contenuti e Media (DIT.AD004)

Structure responsible for the research project

Institute of information science and technologies "Alessandro Faedo" (ISTI)

Other structures collaborating in the research project

Project manager

FOSCA GIANNOTTI
Phone number: 0506212999
Email: fosca.giannotti@isti.cnr.it

Abstract

A wealthy friend of mine asks for a vacation credit card to his bank, to discover that the credit he is offered is very low. The bank teller cannot explain why. My stubborn friend continues his quest for explanation up to the bank executives, to discover that an algorithm lowered his credit score. Why? After a long investigation, it turns out that the reason is: bad credit by the former owner of my friend's house. Black box AI systems for automated decision making, often based on ML over (big) data, map a user's features into a class or a score without explaining why. This is problematic for lack of transparency, but also for possible biases inherited by the algorithms from human prejudices and collection artefacts hidden in the training data, which may lead to unfair or wrong decisions. I strive for solutions of the urgent challenge of how to construct meaningful explanations of opaque AI/ML systems, introducing the local-to-global framework for black box explanation, articulated along 3 lines: a) the language for explanations in terms of expressive logic rules, with statistical and causal interpretation; b) the inference of local explanations for revealing the decision rationale

Start date of activity

01/10/2019

Keywords

Artificial intelligence, intelligent systems, multi agent systems, Machine learning,, statistical data processing and applications using signal processing

Last update: 29/03/2024