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.