??Simplify without losing key details: Use analogies and straightforward language to make complex concepts understandable. ??Use visual aids: Charts, diagrams, and infographics help clarify how the model works and its impact. ??Focus on outcomes: Highlight the business value and results the model delivers, rather than technical specifics. ??Break down the process: Explain the steps in the model, showing how each part contributes to the whole. ??Encourage questions: Create an interactive environment where stakeholders can clarify doubts and engage.

Working in AI for healthcare, I often need to explain complex models to non-technical stakeholders. To make these ideas more accessible, I like to use analogies, comparing AI to a real doctor. ?? Compare to a Doctor: Like a doctor, AI analyzes data, supports diagnoses, and aids in decision-making. ?? Use Simple Stories and Examples: I share real-world scenarios, showing how AI can act as a "second opinion." ?? Simplify Without Losing Core Ideas: I break down complex concepts but keep essential points intact. ?? Visualize the Process: Charts and diagrams help clarify how the model works. ?? Focus on Real Results: I emphasize how AI can improve patient outcomes and support healthcare quality.

Non-technical stakeholders are primarily focused on the business impact of models rather than the technical details. To balance accuracy and clarity, focus on three main points: (1) Define the problem. (2) Explain what the model does and provide a high-level overview of how it works. (3) Emphasize the model's expected impact on the business. Presenting these points for each model allows stakeholders to see the options and give input based on their domain expertise. This collaborative approach respects both the technical and business perspectives, helping reach a consensus that aligns with organizational goals.

In Part 1, we explored the importance of visuals ?? and open communication ?? to explain complex models clearly to non-technical stakeholders. Now, let’s dive into the part 2. ?? Relate model concepts to familiar, everyday scenarios that resonate with your audience. This helps turn abstract ideas into relatable insights. ??Focus on how the model supports informed decisions. Show stakeholders how the model’s output can directly impact their objectives or streamline processes. ?? Present insights progressively. Please start with the big picture, then dive deeper based on your audience's curiosity, making it easier for them to follow along at their own pace.

When explaining complex models to non-technical stakeholders, balancing accuracy and clarity is key. Start by simplifying the concepts without oversimplifying, using analogies that relate to familiar ideas to convey core principles while retaining essential details. Incorporate visual aids like charts, diagrams, and infographics, as these can effectively illustrate how the model operates and its implications. Finally, focus on the outcomes by emphasizing the practical benefits and impact of the model rather than delving into technical specifics. This approach fosters understanding and engagement, making it easier for stakeholders to grasp the significance of the model.