This creates data voids – gaps in credible coverage that can be manipulated or exploited by bad actors to fill with low-quality information. This also explains why, in some specific cases, AI outputs are very unreliable, even when there’s no coordinated effort to pollute the information ecosystem. We see that with context-specific and geography-specific questions about voting procedures. The AI systems have little authoritative material to draw from, so they surface low-quality information.
What it takes for voters to be resilient against AI misinformation
The idea of data gaps – places where there is not authoritative information – is new to me though it makes perfect sense. I wonder if this is a role libraries can play.