This episode of Fintech for the People is focused on the critical research around risks and bias in AI, explaining the importance of equitable AI and its impact on the financial ecosystem. Our guest, Alexandra Rizzi, Senior Research Director at the Center for Financial Inclusion, shares insights about various challenges, including bias and contextual differences, emphasizing the need for inclusive outcomes in financial decision-making processes. She highlights scenarios where seemingly neutral AI models may inadvertently perpetuate biases, underscoring the importance of understanding the context and nuances of different markets.  Exploring mitigation strategies, Alexandra Rizzi outlines a three-step approach focusing on understanding AI usage, identifying biases, and evaluating outcomes. She emphasizes the need for ongoing monitoring and governance mechanisms to address harmful biases effectively. Moreover, Alexandra sheds light on collaborative efforts involving stakeholders such as investors, operators, and regulators in refining ethical AI practices.    To learn more about the Center for Financial Inclusion, visit their website and download their report on Equitable AI for Inclusive Finance. And learn more about Accion Venture Lab on LinkedIn and X (Twitter).