<ul data-eligibleForWebStory="true">Alignment in AI refers to synchronizing an AI system's goals with human intentions and values.Humans often struggle to clearly articulate their values, making alignment challenging.AI could misinterpret vague objectives, leading to harmful outcomes.Real-world examples include social media algorithms amplifying harmful content and Amazon's biased recruitment algorithm.Alignment involves implementing feedback loops, testing with diverse perspectives, and embedding ethics from the start.Product managers can foster alignment by taking specific steps.Understanding AI alignment is crucial for anyone interacting with technology.Aligning AI with human values is a significant challenge and opportunity in our interconnected world.