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AI Developers & Engineers

AI Developers & Engineers

Social, Ethical and Legal Landscapes of AI-Fairness

AEQUITAS WP6

This AEQUITAS infographic is based on research conducted for the AEQUITAS Deliverable 6.1, titled “Preliminary...

AI Developers & Engineers

Fair-by-design Sociological, Legal Methodologies

AEQUITAS WP5

Our first AEQUITAS infographic is based on research conducted for the AEQUITAS Deliverable 5.1, titled “Fair-by-design...

AI Developers & Engineers

Trustworthy AI for All: Ensuring Inclusiveness and Fairness

4th European AI Alliance Assembly - Giulia Sudano

AI Developers & Engineers

Trustworthy AI, bias, and the role of hybrid intelligence

Hybrid Intelligence Workshop - AI, Data, Robotics Forum - Roberta Calegari

AI Developers & Engineers

Future of Trustworthy AI in Europe

AI Data, Robotics Forum - Roberta Calegari

AI Developers & Engineers

First AEQUITAS Workshop on Fairness and Bias in AI

26th European Conference on Artifical Intelligence - ECAI 2023

AI Developers & Engineers

Towards Ethical Intelligence – Navigating Bias and Fairness in AI

3rd Workshop on Bias and Fairness in AI@ECML PKDD 2023 - Roberta Calegari

AI Developers & Engineers

Assessing and Enforcing Fairness in the AI Lifecycle

IJCAI 2023 Proceedings

A significant challenge in detecting and mitigating bias is creating a mindset amongst AI developers...

AI Developers & Engineers

XAI: Current Frontiers and the Path Ahead Towards Trustworthy AI

XLoKR 2023 - Explainable Logic-Based Knowledge Representation - Roberta Calegari

AI Developers & Engineers

ExACT Explainable Clustering: Unravelling the Intricacies of Cluster Formation

KoDis 2023 - Federico Sabbatini, Roberta Calegari