What role does algorithmic bias play in filter bubbles?

Can you explain what algorithmic bias is?

Algorithmic bias refers to systematic and unfair discrimination in algorithms, often resulting from biased data or design.

How does this bias contribute to filter bubbles?

Filter bubbles occur when algorithms personalize content, often reinforcing existing beliefs and isolating users from diverse perspectives.

What are some real-world examples of filter bubbles?

Examples include social media feeds that show users only content that aligns with their views, limiting exposure to differing opinions.

How can we mitigate algorithmic bias?

Mitigating algorithmic bias involves using diverse data sets, regular audits of algorithms, and promoting transparency in AI systems.