Go back

The Governance of Artificial intelligence

Progress in Artificial Intelligence brings unprecedented opportunities to humanity, but also considerable threats beyond the so-called singularity that should not be overlooked. One of the most pressing ones have to do with the uncontrolled AI concentration process that has unfolded in the past years. Since 2012, over 250 AI related startups across different verticals have been acquired by big corporations, with 37 acquisitions taking place in first quarter of 2017 alone. Such a trend can lead to another more likely scenario, i.e., AI concentration in few large international enterprises. In a society, where power of AI is concentrate in corporate hands can not only threaten democratic institutions, but also modern way of life as we know it.

This program will shed some light on this threat, by conducting multidisciplinary and empirical research aimed at answering the following questions: Who owns AI today? What’s the balance between private and the public sector? What governments and companies are investing more in AI? What institutions and countries are buying this technology? What is the scale of the current process of AI concentration in few hands and what are its economic, political and societal implications?

  • Link project

The project

  • Reseach

    This research program will address the above-mentioned issues by:

    • Conducting a quantitative, data-based study to determine who is developing and purchasing AI worldwide. Initial round of data collection. We will download and clean the Crunchbase database which captures various aspects of all sizeable tech startups.
    • Data analysis to create a holistic measure of National AI stock, and to determine what companies are patenting and/or purchasing more AI start-ups. We will also try to investigate how changes in AI stock affects national outcomes (eg. GDP, NI, Industrial productivity) and use econometric techniques for analysis of firm-level acquisition effects.
    • Exploring the political, economic and societal implications that the AI ownership landscape have for today’s global order.