mlsanityData to 14 Oct 2026

SAFARI: A Community-Engaged Approach and Dataset of Stereotype Resources in the Sub-Saharan African Context

arXiv 2602.22404 ↗First posted 25 Feb 2026cs.CLcited by 1

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Abstract (arXiv)

Stereotype repositories are critical to assess generative AI model safety, but currently lack adequate global coverage. It is imperative to prioritize targeted expansion, strategically addressing existing deficits, over merely increasing data volume. This work introduces a multilingual stereotype resource covering four sub-Saharan African countries that are severely underrepresented in NLP resources: Ghana, Kenya, Nigeria, and South Africa. By utilizing socioculturally-situated, community-engaged methods, including telephonic surveys moderated in native languages, we establish a reproducible methodology that is sensitive to the region's complex linguistic diversity and traditional orality. By deliberately balancing the sample across diverse ethnic and demographic backgrounds, we ensure broad coverage, resulting in a dataset of 3,534 stereotypes in English and 3,206 stereotypes across 15 native languages.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 20 of its 44 references that are in the map. First posted on arXiv 25 Feb 2026.

Builds on

20 of 44 references.

References · 20

  1. 2025Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilitiescited by 3,796
  2. 2020StereoSet: Measuring stereotypical bias in pretrained language modelscited by 924
  3. 2021BBQ: A Hand-Built Bias Benchmark for Question Answeringcited by 701
  4. 2021Multimodal datasets: misogyny, pornography, and malignant stereotypescited by 327
  5. 2021Quality at a Glance: An Audit of Web-Crawled Multilingual Datasetscited by 243
  6. 2019On Measuring and Mitigating Biased Inferences of Word Embeddingscited by 112
  7. 2022A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translationcited by 98
  8. 2023SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage Leveraging Generative Modelscited by 66
  9. 2022Towards Afrocentric NLP for African Languages: Where We Are and Where We Can Gocited by 47
  10. 2022Handling and Presenting Harmful Text in NLP Researchcited by 43
  11. 2023AfroBench: How Good are Large Language Models on African Languages?cited by 43
  12. 2022Data Governance in the Age of Large-Scale Data-Driven Language Technologycited by 33
8 more
  1. 2023Building Socio-culturally Inclusive Stereotype Resources with Community Engagementcited by 25
  2. 2024SeeGULL Multilingual: a Dataset of Geo-Culturally Situated Stereotypescited by 24
  3. 2025AfriHate: A Multilingual Collection of Hate Speech and Abusive Language Datasets for African Languagescited by 11
  4. 2024Are Generative Language Models Multicultural? A Study on Hausa Culture and Emotions using ChatGPTcited by 8
  5. 2024Socially Responsible Data for Large Multilingual Language Modelscited by 7
  6. 2025A Comprehensive Framework to Operationalize Social Stereotypes for Responsible AI Evaluationscited by 7
  7. 2025HESEIA: A community-based dataset for evaluating social biases in large language models, co-designed in real school settings in Latin Americacited by 6
  8. 2024Building Better: Avoiding Pitfalls in Developing Language Resources when Data is Scarcecited by 4

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026Toward Culturally Grounded Natural Language Processingcited by 0