How does algorithmic bias affect society?

What is algorithmic bias and how does it occur?

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

Can you give me examples of algorithmic bias in real life?

Sure! Examples include biased hiring algorithms that favor certain demographics or facial recognition systems that misidentify people of color.

What are the potential consequences of algorithmic bias on society?

Consequences can include perpetuating inequality, reinforcing stereotypes, and eroding trust in technology and institutions.

How can we mitigate algorithmic bias?

Mitigation strategies include diversifying training data, implementing fairness audits, and involving diverse teams in algorithm design.