A student researching algorithms has taken notes:
• Algorithms make automated decisions affecting people's lives • Bias in training data can lead to biased outcomes • Hiring algorithms have shown racial and gender bias • Transparency in algorithms is often limited • Some advocate for algorithmic auditing requirements
The student wants to explain concerns about algorithmic bias.
Some advocates push for requirements to audit algorithms.
Algorithmic bias is concerning because automated decisions affect lives, biased training data produces biased outcomes—as seen in hiring algorithms showing racial and gender bias.
Algorithms make automated decisions that affect people's lives.
Transparency in how algorithms work is often very limited.
Correct Answer: B
Choice B. Affecting lives, biased data, and hiring bias examples explain concerns.