Free Online Flashcard Deck

6 AI Applications Free Online FlashCards

Study 6 AI Applications with 12 free online flashcards. Review key terms, definitions, and concepts with this interactive flashcard deck.

12 cards
01
Front

What shapes the real-world value of an AI system?

Back

AI’s value depends on the setting as well as the model, including the people affected, data quality, error consequences, and human decision-making.

02
Front

What does AI classification do?

Back

Classification assigns categories to examples, such as flagging a transaction for review.

03
Front

How should AI support clinical decisions?

Back

In health care, AI can help analyze medical images, organize clinical information, or estimate risks; its output should support, not automatically replace, a clinician’s judgment.

04
Front

What does a flagged financial transaction mean?

Back

A transaction flag is a signal to investigate unusual activity, not proof that wrongdoing occurred.

05
Front

What role do educators retain when AI supports learning?

Back

AI can provide practice, feedback, or learning-material assistance, while educators check accuracy, adapt support, and understand students’ needs.

06
Front

What should an AI project do before choosing a method?

Back

Begin by defining the task, users, affected people, and whether a simpler method would work; do not start with a decision to use AI.

07
Front

What should teams check when preparing AI data?

Back

Choose data relevant to the task and permitted for use; check for gaps, errors, and unrepresentative examples, and protect sensitive information.

08
Front

What makes an AI evaluation useful before deployment?

Back

Test with data not used for training and conditions resembling real use. Use task-appropriate metrics, examine group differences in errors, and check robustness and security.

09
Front

What should deployment safeguards specify?

Back

Plan how AI output enters the workflow, whether a person reviews it, how uncertainty is communicated, and how users can challenge or correct an outcome.

10
Front

What should teams do after deploying an AI system?

Back

After launch, check for performance changes as data or conditions shift, record problems, respond to incidents, and update or withdraw the system when needed.

11
Front

What are key principles of responsible AI use?

Back

Match safeguards to possible harm and consider privacy, fairness, accessibility, safety, and security. Keep human responsibility for reviewing and correcting consequential errors.

12
Front

What does AI prediction estimate?

Back

Prediction estimates an unknown or future value, such as a travel time.