Final answer:
The correct answer is to re-run the algorithm without the skewing attribute to address potential biases. This reflects the importance of human intervention in ensuring fairness and accuracy in glass-box models within human-computer interactions and AI ethics.
Step-by-step explanation:
A benefit of glass-box models is that if an attribute is skewing the fairness of a decision, a human agent may choose to re-run the algorithm without it. This option enables the human operator to address potential biases or unfairness that may be present in the algorithm's decision-making process. For instance, research such as Bruno & Abrahão (2012), which looked into the decision-making accuracy of operators, demonstrates the human element's importance in managing and correcting automated systems. Experiences from real-world scenarios, like the Target data breach, underline the critical need for humans to correctly interpret signals from AI or automated systems to mitigate risks.
This question falls under the realm of human-computer interaction (HCI) and ethics in AI, which highlights the unpredictability and difficulty in controlling artificial intelligence systems. Correct human intervention can increase algorithmic transparency and ensure fairer outcomes. The ability of a human agent to intervene is crucial, as expertise and cognitive skills can spot and correct mistakes before they magnify, as reflected in the mention of accuracy nudges and the value heuristic decision-making brings into complex problem-solving.