Build AI Models That Center Humans and Drive Impact
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01
Needs Assessment and Goal Definition
Understand the specific challenges and opportunities within the organization where AI can add value. -
02
Data Collection and Preparation
Assess availability and quality of data. Gather and preprocess data required for training the AI model. -
03
Apply Ethical Framework
Ensure that ethical considerations are embedded through selection and use of ethical AI frameworks. -
04
Model Selection and Design
Choose the appropriate AI model and design its architecture. Decide on training techniques and algorithms. -
05
Model Training and Testing
Train the AI model using the prepared data on the training set, adjusting parameters to optimize performance. Test the model on the test set to assess its accuracy, bias, and robustness. -
06
Implementation and Integration
Deploy the AI model into the organization’s existing systems, including user interfaces and APIs for easy interaction with the mode -
07
Training and Capacity Building
Equip staff with the skills needed to use and manage the AI model. -
08
Monitoring and Evaluation
Continuously monitor the AI model’s performance and impact. Refine and enhance the AI model based on monitoring and feedback.