Part 5/7:
The core challenge remains: AI models are based on human-generated data. Because humans are inherently biased, incomplete, and sometimes flawed, AI systems are not immune to these issues. History shows that for societies to progress, they often need to consciously address and rectify these biases, rather than pretending they can be eliminated through artificial intelligence.
As one speaker notes, the past is "something we usually don't want to repeat," implying that awareness of bias and a commitment to better data and transparency are essential for meaningful progress.