The policy paper "AI Decision Trade-Offs: A Systems Perspective to Responsible AI Systems" examines the implications of developing and using artificial intelligence systems (AIS), emphasizing a systems perspective that includes hardware, software, data, and human contributions. Following the COVID-19 pandemic, AIS adoption has surged, prompting a dual narrative of AI as both a risk and a solution. The authors highlight the importance of understanding trade-offs in decision-making, such as the potential job losses linked to productivity gains. Through seven illustrative scenarios mapped to Sustainable Development Goals (SDGs), the paper advocates for AI literacy among policymakers and the public, emphasizing stakeholder engagement in responsible governance. It concludes with recommendations for transparency, balancing trade-offs, and fostering collaboration to ensure that AIS contributes positively to society.