AWS Certified AI Practitioner Practice Exam

What ethical concern is raised by an AI model used for facial recognition that shows a pattern of misidentifying certain demographic groups?

1. Data Privacy

2. Bias and fairness

3. Transparency

4. Security threats

The correct answer is: Bias and fairness

The concern regarding an AI model used for facial recognition that misidentifies certain demographic groups is fundamentally tied to the concepts of bias and fairness. When a facial recognition system consistently shows discrepancies in identifying individuals from specific demographic backgrounds—such as age, race, or gender—it indicates an inherent bias in the algorithm's design, training data, or application. This can lead to unfair treatment of individuals belonging to those misidentified groups, potentially resulting in negative consequences such as wrongful accusations, surveillance disproportionate to the actual threat, and erosion of trust in technology. Consequently, addressing bias and ensuring fairness in AI systems is crucial to promoting ethical standards in technology deployment, as it aligns with principles of equity and justice. By rectifying bias, organizations can foster more inclusive AI applications that work effectively across diverse populations, thus enhancing societal acceptance and ethical integrity in technology utilization.