16 items found

Tags: Ethics

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  • Method

    Debiaser for Multiple Variables (DEMV)

    DEMV is a Debiaser for Multiple Variables that aims to increase Fairness in any given dataset, both binary and categorical, with one or more sensitive variables, while keeping...
    • ipynb
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  • Dataset

    Synthetic Dataset for Causal Analysis

    The dataset is a synthetic version of the well-known German Credit dataset (https://archive.ics.uci.edu/dataset/144/statlog+german+credit+data). It includes variables such as...
    • CSV
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  • Dataset

    Papers on Gender Bias in Academic Promotions

    This dataset contains the result of a systematic mapping study conducted to analyse how the issue of gender bias in academic promotions has been addressed by the literature....
    • CSV
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  • Application

    MANILA

    MANILA is a low-code web application to support the specification and execution of machine learning fairness evaluations. In particular, through MANILA it is possible to...
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  • Method

    Workshopping on social big data and adversarial publics

    This report is based on an empirical case study on content moderation, whose objective is to interrogate whether content moderation can be reclaimed by users as a practice...
    • PDF
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  • Method

    SCube

    This resource is a segregation discovery method from both tabular and social network data.
  • Method

    XAI Library

    A suite of methods for explainable AI for different Ai models
  • Dataset

    Interaction bias. Experiments dataset

    Artificial Intelligence (AI) is increasingly used to build Decision Support Systems (DSS) across many domains. In our work, we conducted a series of experiments designed to...
    • JSON
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  • Method

    Python library for direct and indirect discrimination prevention in data mining

    This python library implements the discrimination discovery and prevention method proposed in the paper: “A methodology for direct and indirect discrimination prevention in...
    • GitHub
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  • TrainingMaterial

    Tutorials on anonymization and antidiscrimination of datasets

    These tutorials show how to use the already implemented libraries for the anonymization and antidiscrimination of data sets: - Anonymization library:...
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    • ipynb
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  • Dataset

    Multi-Task Faces (MTF) dataset

    The Multi-Task Faces (MTF) dataset consists of cropped human faces for classification tasks or other research purposes. Each image in the dataset is labelled according to four...
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  • TrainingMaterial

    Second SoBigData Plus Plus Awareness Panel R. I. Platforms Data Protection an...

    This webinar, which took place on 10 November 2020, was aimed at exploring the theme of data protection and intellectual property issues in platforms. The first speaker was...
    • HTML
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  • JournalArticle

    Proposal for a Regulation of the European Parliament and the Council laying d...

    Our remarks focus on two main issues: 1) providing operational tools to link the ethics and the legal dimension of a Trustworthy AI avoiding risks of ethics washing; 2) the...
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  • JournalArticle

    Will big data algorithms dismantle the foundations of liberalism

    In Homo Deus, Yuval Noah Harari argues that technological advances of the twenty-first century will usher in a significant shift in how humans make important life decisions....
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  • JournalArticle

    Ethical Value Centric Cybersecurity. A Methodology Based on a Value Graph

    Our society is being shaped in a non-negligible way by the technological advances of recent years, especially in information and communications technologies (ICTs). The...
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