How Can Stakeholders Collaborate to Enhance AI Transparency and Explainability?
Collaboration among stakeholdersâresearchers, industry professionals, regulators, and ethicistsâis vital for advancing AI transparency and explainability. This can involve:
Sharing Best Practices: Developing and disseminating best practices for AI model development and deployment across the toxicology community. Open Science Initiatives: Encouraging open science initiatives where data, code, and methodologies are shared openly to foster collective learning and improvement. Interdisciplinary Research: Engaging in interdisciplinary research that combines expertise from fields like computer science, toxicology, and ethics to address complex challenges.
In conclusion, while AI holds tremendous potential to revolutionize toxicology, ensuring that these technologies are transparent and explainable is essential for their safe and effective application. By addressing these concerns, the toxicology community can harness the full potential of AI to improve public health outcomes and advance scientific understanding.
