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
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