Representation & Inclusivity in AI Datasets

Representation & Inclusivity in AI Datasets

Assessment

Flashcard

Professional Development

Professional Development

Hard

Created by

Nilanjana Kumari

FREE Resource

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5 questions

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1.

FLASHCARD QUESTION

Front

What happens when AI datasets under-represent certain groups?

Back

Bias grows—leading to unfair or inaccurate AI outcomes.

2.

FLASHCARD QUESTION

Front

Which groups are most often overrepresented in large AI datasets?

Back

Western, English-speaking, male, and light-skinned populations.

3.

FLASHCARD QUESTION

Front

Give one real-world consequence of underrepresentation in AI datasets.

Back

Voice assistants struggle with some accents OR facial recognition misidentifies women and darker-skinned people.

4.

FLASHCARD QUESTION

Front

What is one key solution to improve inclusivity in AI datasets?

Back

Build diverse datasets that reflect the real world.

5.

FLASHCARD QUESTION

Front

What principle emphasizes the importance of including marginalized voices in AI design?

Back

“Nothing about us, without us.”