Ep.01 - Through Our Lens: “How Can We Build a Fairer AI?”

In this opening episode, students from Brazil, China, and the United States explore the global challenge of fairness in artificial intelligence. Through real examples and cultural comparisons, they reveal how algorithms often reflect social inequalities and cultural bias. The discussion exposes how data, design, and dominant narratives shape AI’s behavior, and the team reflects on how education and global collaboration can help build fairer, more inclusive technologies.

Through Our Lens: A Cross-Cultural Look on AI Bias is a collaborative podcast produced by students from Florida International University (United States), São Paulo State University – UNESP (Brasil), and Wuhan College of Communication (China). Developed during an international virtual exchange, this six-episode series connects voices from three continents to explore how linguistic and cultural biases appear in AI systems and what they reveal about human society. Each episode reflects collective learning, creativity, and dialogue across borders—inviting listeners to reimagine technology through the lenses of equity, empathy, and diversity.

Credits:

Professors: Luciani Tenani (UNESP), Ming Fang (FIU), Dr. Fang Wen
Technical Support: Rômulo Borim (Laboratory of Phonetics – UNESP)
Collaborators: Yi Yang, Yifang Fu, Ziyan Wu (WCC)

Authors
Unesp (BR): Cindy Rafaela Maruyama Morimoto, Jennifer Slobodak de Souza, Pedro Henrique Marquezini
WCC (CN): Chenhui Zhen, Lin Zhe, Quesi Run, Xuzi Xiang, Yili Nu Er
FIU (US): Alexis Gerstenkorn, Angelica Teresa Lugo, Sophia Camacho

Produced by:
Laboratory of Phonetics - Department of Linguistic and Literary Studies
Institute of Biosciences, Letters and Exact Sciences - Ibilce
Unesp - São Paulo State University "Júlio de Mesquita Filho", São José do Rio Preto campus - SP - Brasil