Explain in simple terms: Avoid technical jargon and focus on the algorithm's purpose and goals. Visualise the process: Use diagrams or flowcharts to illustrate how the algorithm works. Highlight assumptions: Clearly state any assumptions made and their potential impact. Discuss trade-offs: Explain the reasoning behind algorithmic choices and their consequences. Provide data insights: Share relevant data and metrics to demonstrate the algorithm's performance. Be open to feedback: Encourage stakeholders to ask questions and provide input. These will help for sure ☺️

In discussions about algorithm limitations, I ground myself in the African principle of Ubuntu—transparency and shared understanding are key to collective progress. First, I would simplify technical jargon into clear, relatable language, much like how elders in our communities use storytelling to make wisdom accessible to everyone. Next, I would provide practical examples to show the potential impacts, drawing on the tradition of illustrating ideas through real-life scenarios to foster understanding. Finally, I would encourage open dialogue and continuous updates, much like how African communities thrive on open communication and collective decision-making, ensuring every voice is heard and valued throughout the process.