Fish farming has seen a recent “cloud” and artificial intelligence (AI) boom, as companies seek to innovate their cultivation and extraction measures by applying data-driven and machine-learning technologies to their operations. While AI is increasingly deployed as a silver bullet for sustainability in industries that are historically not known for their “green” credentials, this chapter analyses the ways in which AI systems are not only involved in “rehabilitating” but also materially shaping industrial futures. With policy and industrial imperatives to value and credit “natural capital” and “ecosystem services,” digital technologies are increasingly involved in managing planetary resources for intensified forms of value extraction, mobilising “stocks” of resources towards “flows” of goods and services in and through the “environment.” The “blue revolution” in aquaculture, like the land-based “green revolution,” becomes an issue of efficiency—however, this time, inextricably entangled with the proliferation of sensing, mapping, and surveying the oceans and freshwater systems for resources. In what ways do the “cloud,” and its facilitation of AI and machine-learning, operate to manage these processes within planetary limits? This chapter conceives of the planetary implications of AI and/in food production.

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Aquaculture, AI, and Planetary Domestication

  • Patrick Brodie

摘要

Fish farming has seen a recent “cloud” and artificial intelligence (AI) boom, as companies seek to innovate their cultivation and extraction measures by applying data-driven and machine-learning technologies to their operations. While AI is increasingly deployed as a silver bullet for sustainability in industries that are historically not known for their “green” credentials, this chapter analyses the ways in which AI systems are not only involved in “rehabilitating” but also materially shaping industrial futures. With policy and industrial imperatives to value and credit “natural capital” and “ecosystem services,” digital technologies are increasingly involved in managing planetary resources for intensified forms of value extraction, mobilising “stocks” of resources towards “flows” of goods and services in and through the “environment.” The “blue revolution” in aquaculture, like the land-based “green revolution,” becomes an issue of efficiency—however, this time, inextricably entangled with the proliferation of sensing, mapping, and surveying the oceans and freshwater systems for resources. In what ways do the “cloud,” and its facilitation of AI and machine-learning, operate to manage these processes within planetary limits? This chapter conceives of the planetary implications of AI and/in food production.