What are the effects of bias in technology?

What are the effects of bias in technology?

Bias in technology can lead to unfair outcomes, such as discrimination in hiring algorithms or biased facial recognition.

Can you give examples of bias in AI systems?

Sure! One example is biased training data leading to facial recognition systems misidentifying people of color.

How can we mitigate bias in tech?

Mitigating bias involves diverse data collection, regular audits, and involving diverse teams in the development process.

What are the long-term consequences of ignoring bias?

Ignoring bias can erode trust in technology, perpetuate inequality, and lead to legal and reputational risks for companies.