Bias detection involves identifying and analyzing instances where data or algorithms show unfair or discriminatory patterns. It helps ensure that technology operates fairly and equitably.
To ensure AI systems are transparent and fair, we implement various techniques such as explainability, interpretability, fairness, and bias detection.…
In machine learning (ML) and deep learning (DL), dealing with data bias and fairness is crucial to ensure the accuracy…
When handling user queries related to cultural or religious sensitivities, GPT employs several strategies to ensure respectful and accurate responses:Data…
The training data for GPT models can contain biases that may influence the generated outputs. To address this, developers use…