Table 2.
Distribution of answers to questions regarding sources about AI applications.
| Other applications we use in daily life already use AI (e.g., speech recognition, spam filters, recommendation algorithms). Have you been made aware of the use of AI in such applications? | Yes | No | log(OR) for age -group (95% CI) | P-value | Holm corrected P-value | log(OR) for sex (95% CI) [Ref. Female] | P-value | Holm corrected P-value |
|---|---|---|---|---|---|---|---|---|
| From the media | 510 (71.0%) | 208 (29.0%) | 0.07 (−0.08, 0.23) |
0.37 | 1 | 0.53 (0.18, 0.88) |
0.003 | 0.14 |
| From social media | 538 (74.9%) | 180 (25.1%) | −0.30 (−0.46, −0.15) |
0.0001 | 0.004 | 0.27 (−0.10, 0.63) |
0.15 | 1 |
| From lectures | 384 (53.5%) | 334 (46.5%) | 0.11 (−0.03, 0.25) |
0.12 | 1 | 0.17 (−0.14, 0.48) |
0.27 | 1 |
| From friends | 470 (65.5%) | 248 (34.5%) | −0.16 (−0.30, −0.02) |
0.029 | 1 | 0.37 (0.04, 0.70) |
0.029 | 1 |
A logistic regression model (no = 0 and yes = 1) containing both sex and age group (20-24, 25-34, 35-44, 45-54, 55-64, 65-74, and ≥75 years) was used. The age groups are used as numeric values in the regression model, i.e., numbers ranging from 1 to 7. Log-odds ratios, 95% CI and P-values for the coefficients are included. AI, artificial intelligence; CI, confidence interval; OR, odds ratio. Bold values indicates the singificant values P < 0.05.