Table 3.
Question | Number of respondents | Responses | ||||
|
|
Never heard of (%) | Slightly aware (%) | Somewhat aware (%) | Moderately aware (%) | Extremely aware (%) |
How much would you say you know about "artificial intelligence?" | 407 | 22.9 | 20.4 | 20.9 | 29.2 | 6.6 |
|
|
Never heard of (%) | Slightly aware (%) | Somewhat aware (%) | Moderately aware (%) | Extremely aware (%) |
How much would you say you know about “machine learning?” | 407 | 27.3 | 21.9 | 22.4 | 22.9 | 5.7 |
|
|
Very negative (%) | Slightly negative (%) | Not sure (%) | Slightly positive (%) | Very positive (%) |
What do you think the perception of artificial intelligence is in the media? | 207 | 1.4 | 29.5 | 25.6 | 34.3 | 9.2 |
|
|
Strongly distrust (%) | Slightly distrust (%) | Not sure (%) | Slightly trust (%) | Strongly trust (%) |
Do you trust artificial intelligence? | 206 | 3.4 | 12.6 | 29.5 | 43.5 | 10.6 |
|
|
Risk outweighs benefits (%) | Risk and benefits equal (%) | Benefits outweighs risk (%) | Don’t know (%) |
|
Do you think the benefits of using machine learning to analyze medical records to help diagnose patients outweighs the risks? | 205 | 6.8 | 22.7 | 45.9 | 23.7 |
|
|
|
Strongly oppose (%) | Tend to oppose (%) | Neither support nor oppose (%) | Tend to support (%) | Strongly support (%) |
To what extent would you support the use of machine learning to develop technology that could potentially offer earlier diagnosis and more accurate treatments to patients? | 206 | 0.5 | 3.4 | 8.7 | 52.7 | 34.3 |
|
|
Strongly oppose (%) | Tend to oppose (%) | Neither support nor oppose (%) | Tend to support (%) | Strongly support (%) |
To what extent would you support the use of machine learning to interpret health care imaging as an aid for doctors when reporting these images? | 206 | 1.0 | 2.9 | 9.7 | 48.1 | 38.3 |