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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

    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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  • 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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  • JournalArticle

    On Artificial Intelligence - A European approach to excellence and trust

    Artificial Intelligence is developing fast. It will change our lives by improving healthcare (e.g. making diagnosis more precise, enabling better prevention of diseases),...
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  • JournalArticle

    Challenging algorithmic profiling

    The limits of data protection and anti-discrimination in responding to emergent discrimination The potential for biases being built into algorithms has been known for some time...
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  • JournalArticle

    Big Data Ethics

    The speed of development in Big Data and associated phenomena, such as social media, has surpassed the capacity of the average consumer to understand his or her actions and...
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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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  • 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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  • JournalArticle

    European Data Governance Act

    The proposal for a Regulation of the European Parliament and of the Council on data governance is the first of a set of measures announced in the 2020 European strategy for...
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  • JournalArticle

    Social Justice and Equality and Primary Care How Can Big Data Help

    A growing body of research emphasises the role of ‘social determinants of health’ in generating inequalities in health outcomes. How, if at all, should primary care providers...
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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

    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

    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

    The Trouble with Algorithmic Decisions

    An Analytic Road Map to Examine Efficiency and Fairness in Automated and Opaque Decision Making We are currently witnessing a sharp rise in the use of algorithmic...
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  • Dataset

    Results of potential production crop simulations for sugarbeet parcels in Dre...

    Results of runs of the WOFOST crop simulation model, simulating potential production for sugarbeet in 2018, for crop parcels within the boundary box of the Dutch province...
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  • ResearchObject

    AGINFRA Evaluation

    AGINFRA Evaluation
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  • Dataset

    CROP_SIMULATIONS_FOR_REGION_V1_ID_d56f4583 ec53 4a72 b3f2 4c1ddf8d5530

    Runs WOFOST crop simulations for fields from the AgroDataCube within a user-defined geometry. {Published by Rob Knapen (rob.knapen) on 2019/06/13 14:13 GMT}
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  • Dataset

    Results of potential production crop simulations for 1000 maize parcels in Li...

    Results of runs of the WOFOST crop simulation model, simulating potential production for maize in 2018, for crop parcels within the boundary box of the Dutch province Limburg....
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  • Dataset

    CROP_SIMULATIONS_FOR_REGION_V1_ID_74746320 e8ec 4de1 872f c948fcd9e401

    Runs WOFOST crop simulations for fields from the AgroDataCube within a user-defined geometry. {Published by Rob Knapen (rob.knapen) on 2019/06/13 14:13 GMT}
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