35 citations · 56 across the 6 of their papers we have counts for
6 papers
A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms
Gavin Abercrombie, Djalel Benbouzid, Paolo Giudici +13
This paper introduces a collaborative, human-centred taxonomy of AI, algorithmic and automation harms. We argue that existing taxonomies, while valuable, can be narrow, unclear, ty…
Pragmatic auditing: a pilot-driven approach for auditing Machine Learning systems
Djalel Benbouzid, Christiane Plociennik, Laura Lucaj +6
The growing adoption and deployment of Machine Learning (ML) systems came with its share of ethical incidents and societal concerns. It also unveiled the necessity to properly audi…
Flat Latent Manifolds for Human-machine Co-creation of Music
Nutan Chen, Djalel Benbouzid, Francesco Ferroni +3
The use of machine learning in artistic music generation leads to controversial discussions of the quality of art, for which objective quantification is nonsensical. We therefore c…
Active Learning based on Data Uncertainty and Model Sensitivity
Nutan Chen, Alexej Klushyn, Alexandros Paraschos +2
Robots can rapidly acquire new skills from demonstrations. However, during generalisation of skills or transitioning across fundamentally different skills, it is unclear whether th…
Unsupervised Real-Time Control through Variational Empowerment
Maximilian Karl, Maximilian Soelch, Philip Becker-Ehmck +3
We introduce a methodology for efficiently computing a lower bound to empowerment, allowing it to be used as an unsupervised cost function for policy learning in real-time control.…
Fast classification using sparse decision DAGs
Djalel Benbouzid, Robert Busa-Fekete, Balazs Kegl
In this paper we propose an algorithm that builds sparse decision DAGs (directed acyclic graphs) from a list of base classifiers provided by an external learning method such as Ada…