Making Sense of AI. Anthony Elliott. Читать онлайн. Newlib. NEWLIB.NET

Автор: Anthony Elliott
Издательство: John Wiley & Sons Limited
Серия:
Жанр произведения: Математика
Год издания: 0
isbn: 9781509548910
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href="#u373026e4-e8ef-5909-bdb0-dde95db9cfa8">chapter 4. In seeking to demonstrate the power interests realized in and through artificial intelligence, it is necessary to characterize the complex systems of AI. Over the course of the twentieth century and into the twenty-first century, a number of interdependent complex systems served to create a major field of AI, spun off from economic, bureaucratic, industrial and military forces, and each typically providing major resources for the advancement of AI in the contemporary world. The interdependent complex systems, as I discuss at length in chapter 4, include:

      1 the scale, scope and extensity of AI in terms of research and innovation, industry and enterprise, as well as technologies and consumer products;

      2 the intricate interplay of ‘new’ and ‘old’ technologies, and of the role of established technologies persisting or transforming within many modes of more recent AI and automated intelligent machines;

      3 the globalization of AI and the centrality of AI technologies and industries in high-tech digital cities;

      4 the growing diffusion of AI in modern institutions and everyday life;

      5 the trend towards complexity, at once technological and social;

      6 the intrusion of AI technologies into lifestyle change, personal life and the self;

      7 the transformation of power as a result of AI technologies of surveillance.

      The complex systems in which AI is enmeshed in the contemporary world are at once economic, social, political, material and technological. These interconnected complex systems, as I seek to show, should not be reduced to separate ‘factors’ or ‘processes’. There are no automated intelligent machines without complex systems. As a result, AI is a field characterized by transformation, unpredictability, innovation and reversal. The interdependent complex systems of AI are continually adapting, evolving and self-organizing.

      This brings us back to interdependent complex systems. AI is not simply ‘external’ or ‘out there’; it is also ‘internal’ or ‘in here’. AI technologies intrude into the very centre of our lives, deeply influencing personal identity and restructuring forms of social interaction. To say this is to say that AI powerfully impacts how we live, how we work, how we socialize and how we create intimacy, as well as countless other aspects of our public and private lives. But this is not to say, however, that AI is simply a private matter or personal affair. If AI cultivates new configurations of cultural identity, these emergent algorithmic forms of identity are structured, networked and enmeshed in economies of technology. That is to say, today’s