Browsing by Subject "algorithmic decision-making"

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    Requirements for Trustworthy Artificial Intelligence – A Review
    (Springer, 2021) Kaur, Davinder; Uslu, Suleyman; Durresi, Arjan; Computer and Information Science, School of Science
    The field of algorithmic decision-making, particularly Artificial Intelligence (AI), has been drastically changing. With the availability of a massive amount of data and an increase in the processing power, AI systems have been used in a vast number of high-stake applications. So, it becomes vital to make these systems reliable and trustworthy. Different approaches have been proposed to make theses systems trustworthy. In this paper, we have reviewed these approaches and summarized them based on the principles proposed by the European Union for trustworthy AI. This review provides an overview of different principles that are important to make AI trustworthy.