AI Risks and Benefits Scale

The AI Risks and Benefits Scale (AIRBS) was created to measure people’s thoughts on the risks and benefits of AI in healthcare. It was used in a study about people’s preference for human doctors over AI-suggested treatments. The scale has 19 questions based on previous research and a test. It was tested for its structure and reliability.

Test Format:

Items are rated from 1 = very unlikely to 7 = very likely.

Source:

Risk-benefit perceptions

In your opinion, how likely are the following risks or benefits to occur? Al in
healthcare might …
Risks:
RI … fail to recognize the uniqueness of each patient’s condition
R2 … result in a loss of jobs for healthcare professionals
R3 … increase patient data security breaches
R4 … lead to ethical problems
R5 … introduce new bugs and equipment failures
R6 … result in overreliance on technology
R7 … dehumanize care
R8 … increase medical errors
R9 … provide unreliable information
R10 … measure patient parameters inaccurately
Benefits:
Bl … reduce medical errors
B2 … enable a more personalized care
B3 … facilitate the prediction of negative health events
B4 … improve information sharing between patients and healthcare providers
B5 … improve the accessibility of care
B6 … provide more accurate health data measurements
B7 … help in monitoring treatment efficiency
B8 … help in diagnosing health problems
B9 … help in choosing adequate treatments

7-point Likert scale:

• 1 = very unlikely
• 7 = very likely