👂Engage in active listening to fully understand stakeholder concerns and priorities. 🎯Identify common goals that align with both the project's success and stakeholder interests. 🔄Propose a pilot or MVP to test conflicting ideas in a low-risk environment, adjusting based on results. 💬Facilitate open discussions to create transparency and build trust. 📊Present data and evidence to justify the project's long-term value while acknowledging short-term concerns. 🤝Use compromise, but ensure alignment on strategic vision for AI development.

I think it's important to talk openly with people involved in AI projects to find common ground. Engage in a transparent dialogue to understand their concerns, priorities, and long-term objectives. Present data-driven insights that demonstrate how the proposed priorities align with the project’s overall goals and can create value for all parties involved. From there, work collaboratively to adjust priorities where necessary, ensuring they meet both the technical and business needs. By focusing on shared outcomes and maintaining flexibility, you can build consensus and move forward with aligned objectives.

In my experience, finding common ground with stakeholders on AI project priorities starts with understanding their perspectives and aligning on shared goals. What I’ve usually seen work well is facilitating an open discussion where each stakeholder can voice their concerns and priorities, followed by reframing the conversation around the broader business objectives. I believe using data to demonstrate the potential impact of various priorities helps make the decision-making process more objective. Additionally, proposing a phased approach—where key priorities from each side are addressed in stages—can offer a compromise.

To find common ground with stakeholders, I focus on understanding their core concerns and values through active dialogue. I prioritize transparency in sharing how the project’s AI goals align with their long-term interests. Ethical concerns, however, remain a priority over any stakeholder pressure, ensuring that decisions are grounded in responsible AI use. By proposing flexible, iterative approaches, like pilot programs, I create room for testing ideas and building trust. This ensures adjustments can be made based on real-world outcomes, achieving shared objectives while upholding ethical standards.