What are some ways to make AI systems more transparent?
AI systems can be made more transparent by implementing explainable AI, providing clear documentation, and involving users in the design process.
What is explainable AI?
Explainable AI refers to methods and techniques in AI that make the results of the models understandable to humans.
Why is transparency important in AI?
Transparency in AI is crucial for building trust, ensuring accountability, and allowing users to understand how decisions are made.
Can you give examples of transparent AI systems?
Sure! Examples include decision trees, which are easy to interpret, and models that provide feature importance scores.
How can users be involved in the design process?
Users can be involved through feedback sessions, participatory design workshops, and by being part of user testing groups.
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