Analysis of the Principled AI Framework’s Constraints in Becoming a Methodological Reference for Trustworthy AI Design
There exists an increasing concern among practitioners, academics, and researchers regarding biased decisions while using artificial intelligence, specifically machine learning, in order to arrive at a given set of possible decisions. Some countries like the United...
Counting is not Enough. Modelling Relevance in Art Exhibition Ecosystems
The authors present a conceptual and mathematical model for an art institution relevance index that quantifies the institution’s ability to manage and leverage its loan relationships with other art institutions, art collectors, and curators. The propose that their...
Machine learning’s limitations in avoiding automation of bias
The use of predictive systems has become wider with the development of related computational methods, and the evolution of the sciences inwhich these methods are applied. The referred methods include machine learning techniques, face and/or voice recognition,...