Episode 44.2. AI in finance: High-frequency trading and algorithmic bias

In this episode of The Turing Test Podcast, Jamie and Rachel delve into the world of AI in finance, focusing on high-frequency trading (HFT) and the pervasive issue of algorithmic bias. They discuss how AI has revolutionized trading by increasing speed and efficiency, but also highlight the ethical concerns and potential risks associated with biased algorithms. The conversation covers the impact of these technologies on market stability, the environment, and the future of finance, as well as the importance of balancing innovation with responsibility. How is AI shaping the future of finance, and what are the implications of algorithmic bias? Join the conversation and donā€™t forget to subscribe, share, and explore more at bit.ly/turingtestpodcast.