We, as interaction designers hold a responsibility to create systems that prioritize the needs and values of the people using them, especially when integrating AI. Transparency is critical. Users should understand how the system works, what data is being collected, and the limitations of AI so they can make informed decisions. Designers must actively address biases, questioning assumptions in data and algorithms to ensure their work is fair, inclusive, and does not reinforce stereotypes or inequities. Privacy and security need to be central, with clear and accessible controls that put users in charge of their own data. At the same time, design should preserve human agency by empowering users to make their own decisions rather than passively relying on AI. Designers also have to think beyond immediate goals and consider the long-term impact of their work, from how users engage with it daily to its broader societal and environmental effects. Ultimately, it is about balancing innovation with accountability, creating systems that are not only functional but also ethical and meaningful in the context of real human lives.