How can we ensure transparency in AI systems?
Ensuring transparency in AI involves clear communication about how AI models work, their data sources, and decision-making processes.
What are some best practices for achieving this transparency?
Best practices include using explainable AI techniques, providing documentation, and engaging stakeholders in the development process.
Can you give examples of explainable AI techniques?
Sure! Techniques like LIME, SHAP, and decision trees help in understanding model predictions by highlighting important features.
How do regulations impact AI transparency?
Regulations can mandate transparency, requiring companies to disclose how their AI systems operate and the data they use.
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