Active Assisted Living (AAL) systems use advanced technology to help older, impaired, or frail people live independently and stay active in society. These systems rely on automated data monitoring in home or care environments, processing video, image, audio, environmental, and motion data through artificial intelligence (AI), particularly machine learning. Thus, AAL systems offer considerable opportunities for efficient health monitoring, increased autonomy, and enhanced quality of life for older adults. However, AAL technologies also present ethical, legal, and social challenges, particularly around privacy due to the sensitive nature of the data collected and the vulnerability of the populations served. Beyond privacy, the broader social implications of AAL must be considered, including the potential reshaping of care relationships and work within the sector. This chapter provides an in-depth overview of the social and societal issues surrounding AAL, offering a comprehensive literature review that highlights the challenges in implementing these systems in everyday life. Specifically, the chapter discusses cultural differences, biases, the normalization of surveillance, the reshaping of care work and relationships, and matters of trust and adoption, alongside the opportunities AAL technology offers for prolonged independent living.