The pre-development phase is foundational for cultivating responsible AI practices. By beginning here and focusing on equity during this phase, you will lay the groundwork for building systems that prioritize fairness and inclusivity, essential values for the responsible advancement of AI technology. Pre-development considerations include:

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• Purpose and Ideation: Learn to lead your team in defining goals, problem statements, and use cases that address the root causes of issues you intend to solve with your AI solution while avoiding unintended harm and promoting equitable outcomes.
• Stakeholder Engagement: Learn how to collaborate authentically with the stakeholders that influence and will be affected by the solution to develop an AI system responsive to the stakeholders’ needs and unique experiences.
• Infrastructure Assessment: Learn about the ingredients for successful development and implementation and how to guide your team through an organizational and infrastructure assessment before development begins
• Risk and Fairness: Learn how to assess the readiness and risk associated with the development of your AI solution and make important decisions about fairness and bias that influence how your solution promotes equity

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