Table 7.
Factor 1 | Factor 2 | U | IRC | Mean | SD | |
---|---|---|---|---|---|---|
Providing psychotherapy for patients with phobias | 0.81 | 0.47 | 0.54 | 1.79 | 0.96 | |
Acting as a doctor in a GP practice | 0.77 | 0.52 | 0.53 | 1.64 | 0.94 | |
Selecting staff for employment | 0.73 | 0.53 | 0.56 | 2.14 | 1.02 | |
Performing surgical procedures on patients | 0.71 | 0.52 | 0.59 | 2.44 | 1.21 | |
Being a bank branch employee | 0.71 | 0.55 | 0.55 | 2.39 | 1.13 | |
Driving a car | 0.60 | 0.52 | 0.65 | 2.70 | 1.25 | |
Deciding how to prioritise aid during humanitarian crises | 0.58 | 0.43 | 0.71 | 2.63 | 1.23 | |
Playing a team football match | 0.56 | 0.75 | 0.37 | 1.81 | 1.13 | |
Managing patient needs and movements in a large hospital | 0.54 | 0.46 | 0.70 | 2.80 | 1.31 | |
Identifying depression via social media posts | 0.49 | 0.64 | 0.57 | 2.57 | 1.14 | |
Making arrangements by phone | 0.48 | 0.68 | 0.53 | 2.85 | 1.06 | |
Acting as a call centre worker | 0.47 | 0.70 | 0.51 | 2.57 | 1.17 | |
Painting an artwork that can be sold at auction | 0.42 | 0.82 | 0.37 | 2.10 | 1.03 | |
Helping detect life on other planets | 0.93 | 0.34 | 0.48 | 4.54 | 0.90 | |
Discovering new chemical molecules for pharmaceutical or industrial applications | 0.90 | 0.34 | 0.54 | 4.17 | 1.02 | |
Checking large volumes of documents for relevant legal evidence | 0.88 | 0.33 | 0.57 | 4.25 | 0.97 | |
Reducing fraud related to exams or assessments | 0.85 | 0.30 | 0.65 | 3.91 | 1.08 | |
Reviewing and analysing risks in legal contracts | 0.64 | 0.43 | 0.67 | 3.54 | 1.13 | |
Spotting art forgeries | 0.64 | 0.55 | 0.56 | 3.59 | 1.26 | |
Helping investment bankers make decisions modelling different scenarios | 0.57 | 0.45 | 0.69 | 3.59 | 1.16 | |
Summarising texts to distil the essence of the information | 0.47 | 0.71 | 0.47 | 3.58 | 1.03 |
Table 7 Note: Factor loadings onto Factor 1 (F1, Perceived capability of AI for tasks involving Human Judgement) and Factor 2 (F2, Perceived capability of AI for tasks involving Big Data), with Uniqueness (U), item-rest correction (IRC), item mean and standard deviation (SD) for the 21 items retained in the Exploratory Factor Analysis of perceived capability ratings.