Can AI be biased? In this episode of AI Innovations Unleashed, Dr. JR and Casey Brightman unpack how algorithms inherit human flaws—and what we’re doing to fix them. From hiring tools to healthcare, it’s not just about tech—it’s about justice.
“AI Innovations Unleashed: Your Educational Guide to Artificial Intelligence”
Visit: AI Innovations Unleashed Blog
Welcome to AI Innovations Unleashed—your trusted educational resource for understanding artificial intelligence and how it can work for you. This podcast and companion blog have been designed to demystify AI technology through clear explanations, practical examples, and expert insights that make complex concepts accessible to everyone—from students and lifelong learners to small business owners and professionals across all industries.
Whether you’re exploring AI fundamentals, looking to understand how AI can benefit your small business, or simply curious about how this technology works in the real world, our mission is to provide you with the knowledge and practical understanding you need to navigate an AI-powered future confidently.
What You’ll Learn:
- AI Fundamentals: Build a solid foundation in machine learning, neural networks, generative AI, and automation through clear, educational content
- Practical Applications: Discover how AI works in real-world settings across healthcare, finance, retail, education, and especially in small businesses and entrepreneurship
- Accessible Implementation: Learn how small businesses and organizations of any size can benefit from AI tools—without requiring massive budgets or technical teams
- Ethical Literacy: Develop critical thinking skills around AI’s societal impact, bias, privacy, and responsible innovation
- Skill Development: Gain actionable knowledge to understand, evaluate, and work alongside AI technologies in your field or business
Educational Approach:
Each episode breaks down AI concepts into digestible lessons, featuring educators, researchers, small business owners, and practitioners who explain not just what AI can do, but how and why it works. We prioritize clarity over hype, education over promotion, and understanding over buzzwords. You’ll hear actual stories from small businesses using AI for customer service, content creation, operations, and more—proving that AI isn’t just for tech giants.
Join Our Learning Community:
Whether you’re taking your first steps into AI, running a small business, or deepening your existing knowledge, AI Innovations Unleashed provides the educational content you need to:
- Understand AI terminology and concepts with confidence
- Identify practical AI tools and applications for your business or industry
- Make informed decisions about implementing AI solutions
- Think critically about AI’s role in society and your work
- Continue learning as AI technology evolves
🎓 Visit: AI Innovations Unleashed Blog
Subscribe to the podcast and start your AI education journey today—whether you’re learning for personal growth or looking to bring AI into your small business. 🎙️📚
This version maintains the educational focus while emphasizing that AI is accessible and valuable for small businesses and professionals across various industries, not just large corporations or tech companies.
Episode 3: Culture vs. Code – Can AI Save Languages or Erase Identity?
Every two weeks, a human language disappears forever. With 40% of the world’s 7,000 languages endangered, we’re facing a linguistic extinction crisis—and AI might be both the problem and the solution.
In this episode, Dr. JR talks with fictional expert Dr. Samantha Chen about the intersection of artificial intelligence and cultural preservation. We explore how tech giants like Google and Microsoft are racing to document endangered languages, why indigenous communities are demanding data sovereignty, and whether digital preservation actually saves culture or just creates sophisticated museums.
Topics Covered:
- The global language extinction crisis (90% could disappear by 2100)
- Google’s Universal Speech Model covering 1,000+ languages
- Microsoft’s AI for Indigenous Languages program
- Māori community’s Kaitiakitanga License for data sovereignty
- Digital colonization vs. ethical AI development
- Community-led initiatives in New Zealand, Canada, and Australia
- The paradox: AI as both cultural threat and preservation tool
- Data trusts and indigenous data governance frameworks (OCAP principles)
- Why language survival requires human commitment, not just algorithms
Featured Perspectives:
- Sundar Pichai (Google CEO) on universal language access
- Dr. Ruha Benjamin (Princeton) on technology and social hierarchies
- Real examples: Wikitongues, Te Hiku Media, First Nations Technology Council
Coming Next Week: Neural implants, brain-computer interfaces, and the ultimate identity question: Where does human end and machine begin?
Subscribe, share, and join the conversation about AI’s impact on human culture and identity.
REFERENCES Mentioned
- Benjamin, R. (2019). Race after technology: Abolitionist tools for the new Jim Code. Polity Press.
- Endangered Languages Project. (2024). Language statistics and documentation efforts. Retrieved from https://www.endangeredlanguages.com
- First Nations Technology Council. (2024). Indigenous data sovereignty and ethical AI frameworks. Retrieved from https://www.fntc.ca
- Internet Society. (2024). Digital language divide: Global language representation online. Retrieved from https://www.internetsociety.org
- Microsoft. (2024). AI for Indigenous Languages: Inuktut case study. Microsoft Research Technical Report.
- Smith, L. T. (2021). Decolonizing methodologies: Research and indigenous peoples (3rd ed.). Zed Books.
- Te Hiku Media. (2024). Kaitiakitanga License and Māori data sovereignty. Retrieved from https://www.tehiku.nz
- UNESCO. (2024). Atlas of the world’s languages in danger. Retrieved from https://www.unesco.org/languages-atlas
- Wikitongues. (2024). Global language documentation project statistics. Retrieved from https://wikitongues.org
? Episode Summary
Bias in AI isn’t a future problem—it’s happening right now. In this powerful third episode of our “May I Learn About AI?” series, Dr. JR and AI ethics researcher Casey Brightman explore how artificial intelligence can unintentionally (and sometimes dangerously) reflect the biases of its human creators.
We dig into real-world stories, from biased healthcare algorithms and hiring tools to flawed facial recognition and education software. Along the way, we explain how bias creeps into data, how it impacts real people, and what governments, businesses, and researchers are doing to push back.
This Mother’s Day episode reflects on the values of fairness and care—asking if our AI systems can be built to uphold them, and what role we play in shaping a more equitable digital future.
? What You’ll Learn
- What AI bias actually is (hint: it’s not about feelings—it’s about patterns)
- How training data and algorithm design can unintentionally lead to unfair outcomes
- Real-world consequences of AI bias in healthcare, hiring, policing, and education
- How emerging policies like the EU AI Act and NYC Local Law 144 are tackling the issue
- Global efforts in countries like India and Canada to build more inclusive AI
- Bias in generative AI tools like GPT and DALL·E—and how it shapes creativity
- What you can do to advocate for fairness and accountability in AI systems
? Mentioned In This Episode
- Algorithmic Justice League – https://www.ajl.org
- UNESCO Recommendation on AI Ethics – https://unesdoc.unesco.org
- NYC Local Law 144 – https://www.nyc.gov/assets/dca/downloads/pdf/about/LL144.pdf
- EU AI Act – https://digital-strategy.ec.europa.eu/en/policies/european-approach-artificial-intelligence
- Black in AI – https://blackinai.github.io
- Bolukbasi et al. (2016) on word embeddings bias
- Obermeyer et al. (2019) on healthcare algorithms and racial bias
? Call to Action
- Ask questions about how AI is used in your workplace or school.
- Advocate for transparency and fairness in tech tools.
- Support ethical AI organizations pushing for accountability.
- Stay tuned next week for our final episode: Can AI Be Creative?