What ethical considerations should VIM practitioners observe regarding privacy and safety?

• A. Respect for worker privacy, data consent, do no harm, ensure transparency in AI decisions, and avoid overreliance.
• B. Privacy not relevant; it's only internal.
• C. Collect all data without consent; publish all raw data; disregard safety.
• D. Blindly rely on AI; ignore transparency.

Answer: (B)

Ethical conduct around privacy and safety in virtual inspection methods is about treating people and their information with respect while ensuring the work environment remains safe. In VIM, data can come from workers, work practices, devices, and surroundings, so it’s essential to obtain consent where appropriate, collect only what’s necessary, and protect sensitive information through strong security and minimization. Part of this is transparency: explain how AI tools are used, what data they analyze, how decisions are reached, and the limits of those tools, so stakeholders can trust and understand the results. Equally important is avoiding overreliance on automation—keep human oversight, validate AI outputs, and implement safeguards to prevent harm. This approach—privacy protection, explicit consent and data handling, safety focus, and clear AI transparency—best embodies responsible VIM practice. Statements claiming privacy isn’t relevant, collecting data without consent, publishing all raw data without safeguards, or blindly trusting AI without transparency run counter to these ethical obligations and can lead to harm and loss of trust.