Developing AI Awareness and Planning
One skill that is often overlooked but is crucial for responsible AI engagement is understanding the scope of AI deployment. In its simplest form, the most essential elements for effective AI use are: input (the data provided to the AI system) and output (the results or decisions generated by the system). Planning your approach to AI involves assessing how you intend to use it and its potential impact.
As a first step, identify the inputs your AI system requires. Create a list of the data and resources the system depends on; if these change over time, account for such variability in your planning. Next, consider the outputs—what the AI system delivers. Outputs can fall under two categories: consistent, predictable results and dynamic, evolving outputs.
Self-Learning
Reflect on your approach to using AI systems:
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Are you deploying AI for a necessity or convenience? Weigh the pros and cons.
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Have you encountered instances where the AI system’s performance did not meet expectations?
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If so, how did you address the gap? Did you rely on adjustments, manual intervention, or additional resources?
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What tools or frameworks do you use to evaluate AI effectiveness and appropriateness?
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There are many tools and strategies to help you plan your AI use: monitoring dashboards, AI assessment tools, and risk management frameworks. Explore available resources and develop a strategy that works for your specific context. It’s best practice to regularly question: Is this AI system necessary or the best fit for my needs?
AI Deployment Assistant
Use tools to streamline AI deployment planning and monitoring. These resources can help ensure that your AI systems align with your goals, remain efficient, and minimize potential risks.