FAT Forensic Events

Upcoming and past events run with the FAT Forensics package

Learn more about FAT Forensics: Source Code Documentation

Events

Ethics in Computer Science, University of New South Wales Invited Lecture 2022

UNSW Introduction to Machine Learning Explainability

University of New South Wales Invited Talk 2022

UNSW Never Let the Truth Get in the Way of a Good Story: The Importance of Multilevel Human Understanding in Explainable Artificial Intelligence

ETH Zürich Invited Talk 2022

ETH Zürich Mind the Gap! Bridging Explainable Artificial Intelligence and Human Understanding

Università della Svizzera italiana Invited Talk 2022

Università della Svizzera italiana Mind the Gap! Bridging Explainable Artificial Intelligence and Human Understanding

AI and Humanity Summer Cluster 2022

2022 AI and Humanity Summer Cluster Where Does the Understanding Come From When Explaining Automated Decision-making Systems?

RMIT Lectorial 2022

2022 RMIT Lectorial Transparency and Explainability

TAILOR Summer School 2021

2021 TAILOR Summer School What and How of Machine Learning Transparency:
Building Bespoke Explainability Tools with Interoperable Algorithmic Components

BIAS Summer School 2021

2021 BIAS Summer School Practical Machine Learning Explainability:
Surrogate Explainers and Fairwashing

TAILOR Workpackage 3 (2021)

2021 TAILOR Workpackage 3 Do You Trust Your Explainer?

ADM+S 2021

2021 ADM+S Talk Making Machine Learning Explanations Truthful and Intelligible

EURO 2021

2021 EURO Talk Making Machine Learning Explanations Truthful and Intelligible

Turing AI UK 2021

Alan Turing Institute AI UK 2020 Demo Did You Get That?
Reviewing Intelligibility of State-of-the-art Machine Learning Explanations

ECML-PKDD 2020

ECML-PKDD 2020 What and How of Machine Learning Transparency:
Building Bespoke Explainability Tools with Interoperable Algorithmic Components