Final answer:
Explainable models provide Attribute weight charts that resemble auditing models typically used in social studies research, like in discrimination studies.
Step-by-step explanation:
Explainable models can provide C: Attribute weight charts, which look very similar to auditing models. In the context of social studies, particularly when examining discrimination in areas like education, housing, labor markets, and the criminal justice system, models that allow for clear explanations of the input features and their contributions to the outcome are crucial. Attribute weight charts, characteristic of explainable models, allow researchers and stakeholders to understand which variables are most influential in producing a particular model's results. These charts resemble audit studies in the way that they help to uncover patterns of discrimination or bias within the system being analyzed.
Explainable models can provide model renderings, which look very similar to auditing models. They can visually represent how the model is making decisions and what features it is considering. These renderings can help users gain insights and understand the model's behavior.