By integrating Agile practices and AI development, one can create a dynamic, customer-centric, and data-informed approach to building AI solutions. This approach enhances collaboration, responsiveness, and the ability to deliver AI models that address real-world needs effectively. By harnessing the synergy between AI's transformative power and Agile's adaptive approach, one can unlock new dimensions doors of innovation. However, Ethics plays a critical role in agile teams leveraging AI. This topic examines the ethical responsibilities of agile practitioners, including the need to consider fairness, privacy, and bias mitigation when working with AI technologies. Outcomes aim to empower agile practitioners to view ethical considerations not as a burden but as an integral part of their roles in shaping the ethical dimensions of AI development within the Agile framework
2. Collaboration as an Ethical Imperative: Agile's emphasis on collaboration extends to ethical considerations
3. Customer-Centric Ethics: Agile teams will internalize the idea that customer-centricity goes hand-in-hand with ethical AI development
4. Transparency and Trust Building: prioritize transparency as a means to build trust in AI solutions
5. Agile Iteration for Ethical Excellence: Agile iterative nature is harnessed for continuous ethical improvement
