Explainable AI (XAI) Market

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Question ^*

Which type of explanation is most valuable to you?

1. Feature importance (identifying key factors)

2. Reasoning traces (step-by-step decision process)

3. Counterfactual explanations (what-if scenarios)

4. Examples (similar cases with similar outcomes)

5. Don't know/Not applicable

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Question ^*

In what scenarios would XAI be most beneficial to your work? (Select up to 3)

1. High-stakes decision making (e.g., loan approvals, medical diagnoses)

2. Model debugging and improvement

3. Compliance with regulations (e.g., GDPR)

4. Building user trust and adoption

5. Identifying and mitigating bias

6. Communicating AI insights to stakeholders

7. Other (please specify: ______)

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Question ^*

What is your biggest concern regarding the adoption of XAI solutions?

1. Complexity and integration effort

2. Cost of implementation

3. Accuracy and reliability of explanations

4. Lack of expertise to utilize XAI effectively

5. Uncertainty about the value proposition

6. Other (please specify: ______)

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Question ^*

How important is understanding the reasoning behind AI decisions in your role?

1. Very Important

2. Important

3. Neutral

4. Not Important

5. Not Applicable

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Question ^*

What are the biggest challenges you face when using AI in your work? (Select all that apply)

1. Lack of transparency/explainability

2. Difficulty trusting AI predictions

3. Difficulty debugging AI models

4. Regulatory compliance issues

5. Lack of skills/knowledge to interpret AI results

6. Other (please specify: ______)

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