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Achieving Fair Inference Using Error-Prone Outcomes
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2021-03)
Recently, an increasing amount of research has focused on methods to assess and account for fairness criteria when predicting ground truth targets in supervised learning. However, recent literature has shown that prediction ...
Attesting Digital Discrimination Using Norms
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2021-03)
More and more decisions are delegated to Machine Learning (ML) and automatic decision systems recently. Despite initial misconceptions considering these systems unbiased and fair, recent cases such as racist algorithms ...
Artificial Canaries: Early Warning Signs for Anticipatory and Democratic Governance of AI
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2021-03)
We propose a method for identifying early warning signs of transformative progress in artificial intelligence (AI), and discuss how these can support the anticipatory and democratic governance of AI. We call these early ...
Editor's Note
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2021-03)
Artificial Intelligence has become nowadays one of the main relevant technologies that is driven us to a new revolution, a change in society, just as well as other human inventions, such as navigation, steam machines, or ...