ABSTRACT

This chapter looks at socioeconomic issues of class that artificial intelligence (AI) systems can perpetuate. This class-based discrimination can also be seen in the education system, where plans for change can also have unintended consequences, showing the complexity of implanting AI for change. The discriminatory side of AI is not only a “sole matter” for the individual but also a “soil matter” for the sustainability of the sociomaterial world. AI and computer systems hold great potential for knowledge development through the digital classroom. The cases of AI-aided top-down workplace control have a socioeconomic impact because many of the jobs that are most amenable to increased control are traditionally “low-skilled” jobs with low pay, whereas the individuals who design the technological systems of control and decide how they are implemented are highly paid. East Asia in particular is a hotspot for AI-driven technology, with Japan, China, and South Korea leading the way in many AI developments.