10 items found

Tags: Fairness

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  • JournalArticle

    Fair Transparent and Accountable Algorithmic Decision making Processes

    The Premise, the Proposed Solutions, and the Open Challenges The combination of increased availability of large amounts of fine-grained human behavioral data and advances in...
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  • ConferencePaper

    Algorithmic decision making and the cost of fairness

    Algorithms are now regularly used to decide whether defendants awaiting trial are too dangerous to be released back into the community. In some cases, black defendants are...
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  • JournalArticle

    Bias in algorithmic filtering and personalization

    Online information intermediaries such as Facebook and Google are slowly replacing traditional media channels thereby partly becoming the gatekeepers of our society. To deal...
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  • ConferencePaper

    A qualitative exploration of perceptions of algorithmic fairness

    Algorithmic systems increasingly shape information people are exposed to as well as influence decisions about employment, finances, and other opportunities. In some cases,...
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  • JournalArticle

    Measuring discrimination in algorithmic decision making

    Society is increasingly relying on data-driven predictive models for automated decision making. This is not by design, but due to the nature and noisiness of observational...
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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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  • ConferencePaper

    Fairness and Abstraction in Sociotechnical Systems

    A key goal of the fair-ML community is to develop machine-learning based systems that, once introduced into a social context, can achieve social and legal outcomes such as...
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  • ConferencePaper

    Fair detection of poisoning attacks in federated learning

    Federated learning is a decentralized machine learning technique that aggregates partial models trained by a set of clients on their own private data to obtain a global model....
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  • JournalArticle

    Designing for human rights in AI

    In the age of Big Data, companies and governments are increasingly using algorithms to inform hiring decisions, employee management, policing, credit scoring, insurance...
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  • JournalArticle

    Democratizing Algorithmic Fairness

    Machine learning algorithms can now identify patterns and correlations in (big) datasets and predict outcomes based on the identified patterns and correlations. They can then...
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