Hello, Hi, Hey, Welcome to the first episode of the Pixel Press Podcast where we’re tackling a question that gets at the heart of AI ethics: Who’s responsible when AI goes wrong? As AI systems make more decisions in our lives—from job interviews to healthcare recommendations, the stakes are high. When an algorithm denies someone a loan or makes an error in a critical medical diagnosis, where does the blame fall?

Our guest, Dr. Joseph Alexander Brown, an expert in AI ethics, takes us inside the challenges of assigning responsibility in a world where machines are making high-stakes decisions. Who should be held accountable: the programmers, the companies, or the AI itself? Dr. Joseph Alexander Brown explains the ethical and legal roadblocks, the importance of transparency, and the role of future regulations in making AI systems more accountable.

Join us as we navigate the complex and often blurry landscape of AI accountability. Hit play to hear Dr. Joseph Alexander Brown break down this fascinating, sometimes troubling, side of artificial intelligence.

Press play to get informed on the future of AI and the challenge of responsibility.

Written By Hamza Ahmad