Democratization of technology and the pandemic have fueled adoption of AI/ML technologies across the public sector. Several public health agencies have leveraged AI/ML technologies to harness the power of data driven intelligence to transform several aspects of community healthcare including the identification of vulnerable populations, patient engagement, optimization of care quality, delivery of personalized interventions, and elimination of fraudulent transactions. While these AI-enabled initiatives have generated new insights and enabled the agencies to improve outcomes, they have also raised concerns regarding the ethical principles and values in AI/ML adoption. There is a renewed focus on ensuring trust, fairness, privacy, accountability, and transparency throughout experimentation to industrialization of AI initiatives. Governance is a critical aspect of AI/ML adoption.