Representation & Inclusivity in AI Datasets

Front

What happens when AI datasets under-represent certain groups?

Back

Bias grows—leading to unfair or inaccurate AI outcomes.

Front

Which groups are most often overrepresented in large AI datasets?

Back

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

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.

Front

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

Back

Build diverse datasets that reflect the real world.

Front

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

Back

“Nothing about us, without us.”