Welcome to Decoding Bias, a podcast by the Racial Justice x Technology Policy (RJxTP) program. In each episode, we unpack the hidden biases in AI and algorithms that deepen inequalities, especially for marginalized communities. Through candid conversations with community voices, tech leaders, scholars, and advocates, we explore how technology can both challenge and reinforce systemic bias—and what we can do to make AI more equitable. Join us as we work toward a future where technology serves everyone fairly.
Decoding Bias Podcast
Episode 1: AI, Bias, and Fight for Equity
In our premiere episode, we’re joined by Dr. Maria Madison, Interim Dean of the Heller School, to explore the pressing issue of bias in artificial intelligence. Together, we dive into the real-world impact of algorithmic bias on marginalized communities and discuss the broader mission of fairness and equity in tech. Dr. Madison sheds light on the complexities of bias, how it permeates AI systems, and the proactive steps we can take to promote responsible, inclusive technology. We unpack the role of policy, research, and cross-disciplinary efforts in tackling systemic issues, providing listeners with actionable insights on how to advocate for equity in the digital age.
Gender, Bias, and the Future of AI: How Can We Do Better?
Coming soon
AI and Disability Inclusion
Coming soon
Guarding the Digital Future: Cybersecurity in the Age of AI
Coming soon
Can AI Close the Gaps in Health Care?
Coming soon
Redefining Cybersecurity with AI-Driven Intelligence
Coming soon