European Union regulations on algorithmic decision-making and a “right to explanation”

B Goodman, S Flaxman - AI magazine, 2017 - ojs.aaai.org
We summarize the potential impact that the European Union's new General Data Protection
Regulation will have on the routine use of machine learning algorithms. Slated to take effect …

Human-centric multimodal machine learning: Recent advances and testbed on AI-based recruitment

A Peña, I Serna, A Morales, J Fierrez, A Ortega… - SN Computer …, 2023 - Springer
The presence of decision-making algorithms in society is rapidly increasing nowadays,
while concerns about their transparency and the possibility of these algorithms becoming …

Fairwashing: the risk of rationalization

U Aïvodji, H Arai, O Fortineau… - International …, 2019 - proceedings.mlr.press
Black-box explanation is the problem of explaining how a machine learning model–whose
internal logic is hidden to the auditor and generally complex–produces its outcomes. Current …

SensitiveNets: Learning agnostic representations with application to face images

A Morales, J Fierrez, R Vera-Rodriguez… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This work proposes a novel privacy-preserving neural network feature representation to
suppress the sensitive information of a learned space while maintaining the utility of the …

[PDF][PDF] EU regulations on algorithmic decision-making and a “right to explanation”

B Goodman, S Flaxman - … in machine learning (WHI 2016), New …, 2016 - metromemetics.net
We summarize the potential impact that the European Union's new General Data Protection
Regulation will have on the routine use of machine learning algorithms. Slated to take effect …

Bias in multimodal AI: Testbed for fair automatic recruitment

A Pena, I Serna, A Morales… - Proceedings of the IEEE …, 2020 - openaccess.thecvf.com
The presence of decision-making algorithms in society is rapidly increasing nowadays,
while concerns about their transparency and the possibility of these algorithms becoming …

Black is the new orange: how to determine AI liability

PH Padovan, CM Martins, C Reed - Artificial Intelligence and Law, 2023 - Springer
Autonomous artificial intelligence (AI) systems can lead to unpredictable behavior causing
loss or damage to individuals. Intricate questions must be resolved to establish how courts …

Post-comparison mitigation of demographic bias in face recognition using fair score normalization

P Terhörst, JN Kolf, N Damer, F Kirchbuchner… - Pattern Recognition …, 2020 - Elsevier
Current face recognition systems achieve high progress on several benchmark tests.
Despite this progress, recent works showed that these systems are strongly biased against …

[PDF][PDF] Are large multimodal foundation models all we need? On opportunities and challenges of these models in education

S Küchemann, KE Avila, Y Dinc, C Hortmann… - EdAr**v, 2024 - researchgate.net
Large language models have made great advances in the past years, creating compelling
responses to extended verbal inputs. After the release of ChatGPT 3.5, researchers have …

Generalization-based privacy preservation and discrimination prevention in data publishing and mining

S Hajian, J Domingo-Ferrer, O Farràs - Data Mining and Knowledge …, 2014 - Springer
Living in the information society facilitates the automatic collection of huge amounts of data
on individuals, organizations, etc. Publishing such data for secondary analysis (eg learning …