Part 5/7:
There exists a concerning practice where AI learning processes are manipulated ideologically, undermining the potential for AI systems to glean wisdom from a diverse corpus of human knowledge. The process of training AI systems typically involves reinforcement learning from human feedback (RLHF); in this method, humans essentially socialize the AI, providing feedback on acceptable responses and behaviors.
This cultivates an environment where biases can become deeply embedded, and concerns arise when the trainers themselves come from ideologically homogenous backgrounds—particularly individuals from previous "trust and safety" roles in social media companies.