The field of AI and data engineering is shifting towards a more human-centric approach, with a focus on ethics, transparency, and user experience. Recent developments highlight the importance of integrating lived experiences into AI system design, ensuring that models are not only technically robust but also empathetic and context-aware. The use of frameworks and architectures that prioritize human values and dignity is becoming increasingly prevalent, with applications in areas such as refugee integration and employment pathways for autistic individuals. Noteworthy papers in this area include: Snowpark, which introduces a managed turnkey solution for data engineering and AI/ML workloads with a focus on high performance, strong security, and ease of use. EMPATHIA, a multi-agent framework that addresses the central question of preserving human dignity when machines participate in life-altering decisions, with applications in refugee integration. Normative Moral Pluralism for AI, a framework for deliberative moral reasoning that processes complex moral situations and generates, filters, and weighs normative arguments drawn from diverse ethical perspectives.