Researchers found problems with X’s AI system. This system picks what users see online. The researchers say the AI might not be fair. It could show users different things based on who they are. This means people might not get the same information. The AI learns from what people do online. It uses this to guess what they like next. But the way it learns might cause trouble. It could make some groups see only certain views. Other groups might see very different things. This could split people apart online.

(Researchers Warn of Potential Bias in X’s AI Content Recommendation System)

The AI system works by tracking user clicks. It watches what users look at and for how long. Then it shows more things like that. The problem is this tracking might miss important details. It might not understand context well. People who seem similar might actually be very different. The AI could group them wrong. This might lead to unfair suggestions. People might see content that pushes bad ideas. They might not see other important views. This is a big worry for society.

The researchers studied how the AI works. They looked at lots of data from X’s system. They tested how it acts with different users. They found patterns that suggest bias. The results showed the AI often favors popular opinions. It sometimes ignores less common views. This is especially true for minority groups. Their content might get hidden more often. The researchers think X needs to check this quickly. They want X to make its AI clearer. They also want X to let outsiders review it. This would help everyone trust the system more.

(Researchers Warn of Potential Bias in X’s AI Content Recommendation System)

X has not answered these findings yet. People are waiting to see what X will do. Experts say this issue matters for all big tech companies. They all use similar AI systems. Users deserve fair and open information. Companies must work harder to prevent bias. They need to build AI that treats everyone equally. This is a challenge for the whole industry.