Artificial intelligence (AI) transforms consumer engagement by enabling personalized business experiences, automated customer interactions, and improved decision-making. While these advancements enhance customer satisfaction and operational efficiency, they raise concerns regarding data privacy, algorithmic bias, transparency, accountability, and ethical decision-making. Responsible AI becomes critical for AI technologies to develop and deploy in ways that are fair, trustworthy, and aligned with societal values. Effective policies and regulatory frameworks, combined with ethical governance and organizational best practices, foster consumer trust and promote responsible AI adoption. By balancing technological innovation with ethical principles and legal compliance, organizations can strengthen consumer confidence, improve long-term customer relationships, and support sustainable business growth. As AI reshapes the digital marketplace, understanding the intersection of policy, trust, and practice may create consumer engagement strategies that are both innovative and socially responsible. Responsible AI in Consumer Engagement: Policy, Trust, and Practice explores how responsible AI improves consumer engagement while ensuring fairness, transparency, accountability, and ethical decision-making. It examines the role of policies, governance frameworks, consumer trust, and organizational practices in promoting the responsible development and deployment of AI-driven customer interactions. This book covers topics such as risk management, consumer trust, and virtual influencers, and is a useful resource for business owners, engineers, marketers, policymaking, academicians, researchers, and scientists.