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     Blog of Guillaume Chevillon 
    The power of persuading: Can and should we regulate AI algorithms?

    The power of persuading: Can and should we regulate AI algorithms?

    Artificial Intelligence & the technological transformation

    Artificial Intelligence & the technological transformation

    Laissez-faire or policing social networks?

    Laissez-faire or policing social networks?

    #3 worldwide, #1 in Europe in QS rankings Masters in Business Analytics for two years in a row

    #3 worldwide, #1 in Europe in QS rankings Masters in Business Analytics for two years in a row

    Et si on réinitialisait les réseaux sociaux

    Et si on réinitialisait les réseaux sociaux

    Contacts
    About the author
    Professor of
    Econometrics & Statistics
    at ESSEC Business School in Paris
    Blogs I follow

    Ben Bernanke at Brookings

    Arthur Charpentier at Freakonometrics

    Francesco Saraceno at OFCE

    No Hesitations by F. X. Diebold

    VOXEU on Economic Research

    Adam Bly on Data, Science & Society

     

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    Beware of weak links in large datasets

    Beware of weak links in large datasets

    One of the main characteristics of the last few years is the increasing availability of statistical information on many aspects of individual decisions and participation to economic and financial life. This has become a boon to statisticians as the basis of data-based inference, estimation of models and forecasting has been, since the advent of statistical tools that more data (more evidence) is better than less data. Firms that harness the potential of large datasets are mor