Decoding Bias Podcast with Ezra Tefera
Welcome to 'Decoding Bias', a podcast series brought to you by the Racial Justice x Technology Policy (RJxTP) program at Brandeis University's Heller School. Our program explores the critical and often overlooked realm of AI and algorithmic bias, shedding light on how these technological advancements can perpetuate 'algorithmic oppression' in marginalized communities. Each episode is a journey into the intricate world of AI, focusing on how algorithms, if unchecked, can reinforce societal biases and inequality. We bring together a diverse set of voices, including representatives from the affected communities, industry leaders, academic experts, students, and others from various sectors, to explore the multifaceted impacts of AI on racial justice. Our discussions aim to uncover the hidden biases in technology and seek pathways towards more equitable and inclusive AI systems. Join us as we unravel the complexities of algorithmic bias and champion the cause of racial justice in the digital age.
Decoding Bias Podcast with Ezra Tefera
AI, Bias, and Fight for Equity - Sarah Goldberg on Regulating Algorithms
Is AI Fair? Sarah Goldberg on Bias, Regulation, and the Fight for Accountability
What happens when artificial intelligence mirrors society’s ugliest biases? In this episode, Sarah Goldberg takes us inside her hands-on research into AI bias, where even something as small as a pronoun shift triggered sexist assumptions in language models. From discriminatory hiring algorithms to surveillance apps gone rogue, Sarah breaks down how AI isn’t just futuristic, it’s already shaping lives in deeply inequitable ways. But it’s not all doom and gloom. With clarity and urgency, she lays out what real AI regulation could look like and why it matters more than ever. If you care about justice in a digital age, this one's a must-listen.
