Thankfully, there have already been some successes in agent-agnostic thinking about AI x-risk
Also Sotala 2018 mentions the possibility of control over society gradually shifting over to a mutually trading collective of AIs (p. 323-324) as one “takeoff” route, as well as discussing various economic and competitive pressures to shift control over to AI systems and the possibility of a “race to the bottom of human control” where state or business actors [compete] to reduce human control and [increase] the autonomy of their AI systems to obtain an edge over their competitors (p. 326-328).
In general, any broad domain involving high stakes, adversarial decision making and a need to act rapidly is likely to become increasingly dominated by autonomous systems. The extent to which the systems will need general intelligence will depend on the domain, but domains such as corporate management, fraud detection and warfare could plausibly make use of all the intelligence they can get. If oneʼs opponents in the domain are also using increasingly autonomous AI/AGI, there will be an arms race where one might have little choice but to give increasing amounts of control to AI/AGI systems.
Also Sotala 2018 mentions the possibility of control over society gradually shifting over to a mutually trading collective of AIs (p. 323-324) as one “takeoff” route, as well as discussing various economic and competitive pressures to shift control over to AI systems and the possibility of a “race to the bottom of human control” where state or business actors [compete] to reduce human control and [increase] the autonomy of their AI systems to obtain an edge over their competitors (p. 326-328).
Sotala & Yampolskiy 2015 (p. 18) previously argued that: