Building Culturally Aware AI with Esosa Osa of Onyx Impact

The Ai Chicks welcome back Esosa Osa, CEO and founder of Onyx Impact and the visionary behind Aisha, an AI-powered digital assistant built with Black cultural awareness at its core. Since her first episode (AI and Information Equity), Aisha has launched into the world and had a viral moment, so we had to get her back on to break it all down.

Esosa walks us through Aisha’s launch and the response, what it actually means to design AI that’s privacy-first, environmentally responsible, and truly representative. We dig into the realities of bias baked into mainstream language models, how curated data and intentional sourcing rebuild trust, and why cultural nuance produces sharper answers for everyone, not just marginalized communities. We also get into the responsibility behind building AI tools, the myth of the “neutral” algorithm, and why having diverse architects at the table is the whole ballgame as the future of AI unfolds. Plus, AI’s Take (Gemini vs. Aisha) and a lightning round.

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Show Notes

EPISODE COVERS:

  1. Aisha’s viral launch and the response

  2. What “culturally informed” AI really means

  3. The myth of the “neutral” algorithm

  4. How bias gets baked into mainstream LLMs

  5. Privacy-first design: why they can’t see your chats

  6. Real user feedback and testimonials

  7. Vetted cultural sources vs. scraping “everything”

  8. Aisha vs. ChatGPT: where the answers come from

  9. Why cultural nuance makes AI sharper for everyone

  10. Addressing community skepticism toward AI

  11. Does every community need its own LLM?

  12. The Black community is not a monolith

  13. The danger of stereotypes in AI outputs

  14. Human oversight and managing AI’s limits

  15. Community ownership: be the architects, not just users

AI, cultural awareness, Black community, Aisha AI, large language models, privacy, data bias, environmental responsibility, Black news sources, representation, vetted sources, cultural context, marginalized communities, technology bias, hallucinations, public datasets, red teaming, AGI (artificial general intelligence), digital assistant, community empowerment, inclusivity, entrepreneurship, Black-owned businesses, respect for humans, source curation, information equity, user privacy, culturally competent AI, data ethics, multiculturalism

TIMELINE:

00:00 Introducing Aisha, the AI Assistant

04:37 Cultural perspective in AI design

06:49 AI bias and discrimination issues

11:13 Building Aisha's Data Sources

15:46 Skepticism about AI accuracy

19:39 Culturally informed AI platforms

24:09 Discussing cultural diversity in AI

27:42 Building tools for our communities

30:14 Supporting AI initiatives and tools

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