Critics argue that debating whether a superintelligent AI might end humanity shifts the spotlight away from real, daily harms. This shift serves a specific purpose: it moves the conversation from accountability to speculation. When we talk about sci-fi extinction scenarios, we focus on preventing a theoretical future monster. Meanwhile, we ignore the existing machine-driven problems that people face right now.
<Current AI deployment already impacts lives through biased hiring algorithms, predatory surveillance, and the mass extraction of data without consent. Labor practices also remain problematic. Millions of workers in the Global South perform low-wage, psychologically taxing data labeling to train these models. Focusing on 'killer robots' allows large tech companies to avoid discussing these immediate human costs. It frames the problem as a technical safety challenge rather than a matter of social justice and labor rights.
If the debate stays centered on preventing an apocalypse, we might miss the chance to regulate how current algorithms drive inequality. We risk building a world where the technology is 'safe' from a sudden takeover but remains deeply harmful to the most vulnerable populations every single day.
