This talk explores the use of artificial intelligence (AI) across public and private sectors, with a focus on its social impacts and potential biases. Through the case of child maltreatment prediction algorithms in the U.S., it examines both the possibilities and challenges of applying public data in policy contexts. The session highlights the importance of evidence-based policymaking in addressing the societal changes driven by aging populations and emerging technologies.