In which context does technology play a dual role regarding bias?

The correct answer highlights how technology often plays a dual role in relation to bias. It acknowledges that while technological advancements can help reduce existing biases—such as through data analysis that identifies discriminatory patterns—they can also inadvertently introduce new biases. This occurs because technology is designed by humans who may unconsciously embed their own biases into algorithms and systems. For instance, if a machine learning model is trained on data that reflects historical biases, it may perpetuate or amplify those biases in its predictions or recommendations.

The context of this duality is significant as it underscores the importance of being vigilant and critical about the use of technology in decision-making processes. It invites further examination of how data is collected, the diversity of the data sets used for training algorithms, and the ongoing need for ethical considerations in technology development to mitigate new biases as they arise.

In contrast, the other options either oversimplify the relationship by claiming technology can completely eliminate bias or suggesting that it has no effect at all, both of which overlook the complexity of bias in technological contexts. Additionally, the notion that technology only aids experts diminishes the critical role that technology itself can play, both positively and negatively, in shaping outcomes related to bias.