An organization wants to ensure its training data represents users of varying ages, ethnicities, and abilities so no group is excluded. Which responsible AI feature directly addresses this requirement?
Veracity
Inclusivity
Explainability
Robustness
Inclusivity is the responsible AI feature that focuses on making sure that all relevant demographic groups are considered when collecting data, designing, and evaluating a model. By emphasizing diverse user representation, inclusivity reduces the risk that the system will systematically overlook or disadvantage certain populations. Veracity concerns data accuracy, robustness is about a model's resilience to noisy or adversarial inputs, and explainability focuses on making the model's decisions understandable. None of those specifically target demographic coverage in data.
Bash is our AI bot, trained to help you pass your exam. AI Generated Content may display inaccurate information, always double-check anything important.
All IT & Cybersecurity Package plans include the following perks and exams .
Our pricing is simple. Full access to all certifications and exams in each package, for one price.
As many practice tests for as many topics as you want.
Use study mode non-stop, no limits.
Access to our AI assistant, Bash, trained to help you pass your exam.
Track your scores over time in study mode and report cards.
See how you improve over time, and where you need to focus.
Access our store with even bigger discounts than before.
Unlimited access to all performance questions and be prepared for the real thing.
All IT & Cybersecurity Package plans include unlimited access to the following study materials.
Create an account or sign in to access our study materials.