Based on the dilemma we have define in our case study which is the bias included in the AI model of AMIT company, suggest an action you would take? by

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2024-11-18 09:42:15 UTC

Figure out what the main problem is in the AI system, find out who was the employee who worked on it and then work on the system together to fix the error and remove the bias problem from the AI.

2024-11-18 09:43:18 UTC

conduct a bias audit of the AI model. This involves analyzing the data and algorithms used to identify any sources of bias and taking steps to adjust the model accordingly. This audit helps in understanding where biases may be present and provides a foundation for making the AI model fairer and more accurate.

2024-11-18 09:46:25 UTC

Ensure Legal Compliance: Align the model with data privacy and anti-discrimination laws.

2024-11-18 09:47:06 UTC

I suggest to apply fairness constraints or regularization techniques during model training to prevent bias from emerging.