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Article
Open AccessWhen is it acceptable to break the rules? Knowledge representation of moral judgements based on empirical data
Constraining the actions of AI systems is one promising way to ensure that these systems behave in a way that is morally acceptable to humans. But constraints alone come with drawbacks as in many AI systems, t...
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Article
Open AccessA principle-based approach to AI: the case for European Union and Italy
As Artificial Intelligence (AI) becomes more and more pervasive in our everyday life, new questions arise about its ethical and social impacts. Such issues concern all stakeholders involved in or committed to ...
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Chapter and Conference Paper
Thinking Fast and Slow in AI: The Role of Metacognition
Artificial intelligence (AI) still lacks human capabilities, like adaptability, generalizability, self-control, consistency, common sense, and causal reasoning. Humans achieve some of these capabilities by car...
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Chapter and Conference Paper
The Regulation of Content Moderation
Online platforms have become a key infrastructure for creating and sharing content, thus representing a paramount context for the individual/collective exercise of fundamental rights (e.g., freedom of expressi...
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Chapter
Polyp Segmentation with Deep Ensembles and Data Augmentation
Globally, colorectal cancer is one of the leading causes of mortality. Colonoscopies and the early removal of polys significantly increase the survival rate of this cancer, but this intervention depends on the...
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Article
Open AccessVoting with random classifiers (VORACE): theoretical and experimental analysis
In many machine learning scenarios, looking for the best classifier that fits a particular dataset can be very costly in terms of time and resources. Moreover, it can require deep knowledge of the specific dom...
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Chapter and Conference Paper
CPMetric: Deep Siamese Networks for Metric Learning on Structured Preferences
Preferences are central to decision making by both machines and humans. Representing, learning, and reasoning with preferences is an important area of study both within computer science and across the social s...
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Article
A Borda count for collective sentiment analysis
Sentiment analysis assigns a positive, negative or neutral polarity to an item or entity, extracting and aggregating individual opinions from their textual expressions by means of natural language processing t...
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Chapter and Conference Paper
Restricted Manipulation in Iterative Voting: Condorcet Efficiency and Borda Score
In collective decision making, where a voting rule is used to take a collective decision among a group of agents, manipulation by one or more agents is usually considered negative behavior to be avoided, or at...
