Fairness and Bias in AI-driven IoT Systems

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Question ^*

In which IoT application area do you perceive the highest risk of unfair AI bias impacting users?

1. Healthcare (Diagnostics, Treatment)

2. Smart Home (Access Control, Automation)

3. Smart City (Surveillance, Traffic)

4. Finance (Credit Scoring, Lending)

5. Other (Specify: ________)

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Question ^*

What specific type of bias in AI-driven IoT systems concerns you the most?

1. Algorithmic Bias (Incorrect Predictions)

2. Data Bias (Unrepresentative Training Data)

3. Implementation Bias (Unfair System Design)

4. Bias based on Sensitive attributes (Race, Gender, etc.)

5. All of the above

6. None of the above

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Question ^*

What measures would you value most in mitigating bias in AI-driven IoT systems?

1. Transparent AI models and decision-making

2. Independent audits for fairness

3. Data privacy protection

4. User control and customization options

5. Improved regulations

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Question ^*

How willing would you be to pay more for an IoT device or service specifically designed to be fair and unbiased?

1. Very Willing

2. Willing

3. Neutral

4. Unwilling

5. Very Unwilling

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Question ^*

How important is it to you that your IoT devices operate without bias (e.g., in healthcare, smart home)?

1. Very Important

2. Important

3. Neutral

4. Not Important

5. Not Applicable

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