XAI provides several benefits to toxicological research, including:
Model Validation: Researchers can validate AI models by understanding how they make predictions. This can help in refining models to improve accuracy and reliability. Trust Building: Transparent AI models help in building trust among stakeholders, including scientists, regulators, and the public. When the decision-making process is clear, it is easier to trust the outcomes. Regulatory Compliance: Many regulatory bodies require an explanation of how risk assessments are made. XAI can provide the necessary explanations to comply with these regulations. Identifying Bias: XAI can help identify and mitigate biases within AI models, ensuring that the models do not unfairly favor certain outcomes.
