Artificial Intelligence (AI) has transformed how ecological systems are observed through the monitoring of wildlife, as due to the integration of the theory, it is now possible to collect, analyze, and predict data on a much more significant level. Nevertheless, a high level of ethical and privacy concerns is present in this technological development that requires in-depth scrutiny. This chapter addresses the ethical concerns that are related to wildlife surveillance via AI, including the unintentional harm to animal species, misuse of data, bias in algorithms, and the destruction of natural habitats because of monitoring programs such as AI-enabled drones. Concerns about privacy apply to wildlife and human stakeholders when sensitive information is concerned with endangered species and habitats. The chapter emphasizes that to curb these risks, ethical frameworks, transparency, and accountability during the use of AI need to be strong. It considers current legal and regulatory gaps and points to the need for interdisciplinary cooperation between scientists, policymakers, and local communities to ensure an inclusive governance model is created. The most essential recommendations can be framed into implementing privacy-preserving technologies, algorithmic fairness, and participatory decision-making. These issues can be addressed in a way that AI can be used to facilitate conservation without sacrificing ecological integrity and trust in society. The study will contribute to the discussion on the ethical governance of AI, where practical implications have to be considered to create a balance between technological advancement, the sustainability of the environment, and the sustainability of technology that would be ethical. AI: adaptive, real-time monitoring, community-embedded strategies are identified to warrant fair and sound measures of conservation of wildlife.