By employing protocols that foster absent-minded engagement, they allow unconscious racial preferences to be expressed without troubling users’ perceptions of themselves as non-racist. Swipe apps constitute prototypical examples of this dynamic. While pointing to the positive use of AI to enable rights in ways that were not easily possible before, this edition of GISWatch highlights the real threats that we need to pay attention to if we are going to build an AI-embedded future that enables human dignity.Īs algorithmic media amplify longstanding social oppression, they also seek to colonize every last bit of sociality where that oppression could be resisted. These are framed by eight thematic reports dealing with topics such as data governance, food sovereignty, AI in the workplace, and so-called “killer robots”. It includes 40 country reports from countries as diverse as Benin, Argentina, India, Russia and Ukraine, as well as three regional reports. But what are the human rights, social justice and development implications of AI when used in areas such as health, education and social services, or in building “smart cities”? How does algorithmic decision making impact on marginalised people and the poor? This edition of Global Information Society Watch (GISWatch) provides a perspective from the global South on the application of AI to our everyday lives. This paper introduces capital's theory of AI as utility and initiates a discussion on its social consequences.Īrtificial intelligence (AI) is now receiving unprecedented global attention as it finds widespread practical application in multiple spheres of activity. ![]() Andrew Ng, former Chief Scientist at Chinese tech giant Baidu, summed this view up neatly when he proclaimed AI the " new electricity " in 2017. In addition to the sensationalist and deflationist accounts of AI, critical scholars should consider the view that capital and its functionaries now espouse. One former computer science professor describes a " giant sucking sound of academics going into industry " (Metz 2017). For AI, the most important aspect of the current social context is arguably capital, which increasingly dominates AI research and production. ![]() ![]() One does not have to subscribe wholeheartedly to the social construction of technology thesis 1 to allow that the development and evolution of technologies are influenced by social factors. ![]() While the deflationist reaction is a necessary reply to sensationalist agitation, adequate comprehension of modern AI cannot be achieved while neglecting its material and social context. One critical reaction to such sensational proclamations has been to focus on the mundane reality of contemporary machine learning as mere inductive prediction based on statistical generalizations, albeit with surprisingly powerful abilities (Pasquinelli 2017). Machine learning systems are frequently ascribed anthropomorphic capacities for learning, emoting and reasoning which, it is suggested, might lead to the alleviation of humanity's woes. The thriving contemporary form of artificial intelligence (AI) called machine learning is often represented sensationally in popular media as a semi-mystical technology.
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