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  • JournalArticle

    Algorithmic Decision Making Based on Machine Learning from Big Data

    Decision-making assisted by algorithms developed by machine learning is increasingly determining our lives. Unfortunately, full opacity about the process is the norm. Would...
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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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  • JournalArticle

    Algorithmic Decision Making Based on ML from Big Data. Can Transparency Resto...

    Decision-making assisted by algorithms developed by machine learning is increasingly determining our lives. Unfortunately, full opacity about the process is the norm. Would...
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  • JournalArticle

    Accountability for the Use of Algorithms in a Big Data Environment

    Accountability is the ability to provide good reasons in order to explain and to justify actions, decisions, and policies for a (hypothetical) forum of persons or...
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  • JournalArticle

    Algorithmic Accountability and Public Reason

    The ever-increasing application of algorithms to decision-making in a range of social contexts has prompted demands for algorithmic accountability. Accountable decision-makers...
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  • JournalArticle

    A Survey of Methods for Explaining Black Box Models

    In recent years, many accurate decision support systems have been constructed as black boxes, that is as systems that hide their internal logic to the user. This lack of...
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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

    Toward Accountable Discrimination Aware Data Mining

    "Big Data" and data-mined inferences are affecting more and more of our lives, and concerns about their possible discriminatory effects are growing. Methods for...
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  • JournalArticle

    Solving the Black Box Problem. A Normative Framework for Explainable Artifici...

    Many of the computing systems programmed using Machine Learning are opaque: it is difficult to know why they do what they do or how they work. Explainable Artificial...
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  • JournalArticle

    The fundamental rights challenges of algorithms

    Algorithms form an increasingly important part of our daily lives, even if we are often unaware of it. They are enormously useful in many different ways. They facilitate the...
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  • JournalArticle

    Seeing without knowing. Limitations of transparency and its application to al...

    Models for understanding and holding systems accountable have long rested upon ideals and logics of transparency. Being able to see a system is sometimes equated with being able...
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  • JournalArticle

    Recommender systems and their ethical challenges

    This article presents the first, systematic analysis of the ethical challenges posed by recommender systems through a literature review. The article identifies six areas of...
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  • JournalArticle

    Privacy in the clouds

    Informational self-determination refers to the right or ability of individuals to exercise personal control over the collection, use and disclosure of their personal data by...
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  • ConferencePaper

    Explanation of Deep Models with Limited Interaction for Trade Secret and Priv...

    An ever-increasing number of decisions affecting our lives are made by algorithms. For this reason, algorithmic transparency is becoming a pressing need: automated decisions...
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  • ConferencePaper

    Multi layered Explanations from Algorithmic Impact Assessments in the GDPR

    Impact assessments have received particular attention on both sides of the Atlantic as a tool for implementing algorithmic accountability. The aim of this paper is to address...
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  • JournalArticle

    Explanation in artificial intelligence. Insights from the social sciences

    There has been a recent resurgence in the area of explainable artificial intelligence as researchers and practitioners seek to provide more transparency to their algorithms....
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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

    Machine Learning Explainability Via Microaggregation and Shallow Decision Trees

    Artificial intelligence (AI) is being deployed in missions that are increasingly critical for human life. To build trust in AI and avoid an algorithm-based authoritarian...
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  • BookChapter

    Machine Learning Explainability Through Comprehensible Decision Trees

    The role of decisions made by machine learning algorithms in our lives is ever increasing. In reaction to this phenomenon, the European General Data Protection Regulation...
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