Description
Poster presented at SIG Human-Centered AI event.Abstract: Previous research demonstrated that faces that are visibly artificial are considered to be less trustworthy and remembered less accurately compared to visibly natural faces. These findings suggest that an outgroup bias exists towards artificial faces. Current technology, however, enables the generation of artificial faces that are indistinguishable from natural faces. Hence, we tested whether an outgroup bias exists for natural faces that are merely labelled to be artificial. In three experiments, we observed that natural faces merely labeled as being artificial were judged to be less trustworthy. This bias was robust and did not depend on the degree of trustworthiness and attractiveness of the faces, nor could it be modulated by changing raters’ attitude towards artificial intelligence. At the same time, we did not observe differences in recall performance, thus challenging the hypothesis that an outgroup effect can be created by merely labelling faces to be artificial. We conclude that understanding and changing social evaluations towards artificial intelligence goes beyond eliminating physical differences between artificial and natural entities.
| Period | 9 Jun 2022 |
|---|---|
| Event title | Meet the People from Human-Centered Artificial Intelligence |
| Event type | Other |
| Location | Utrecht, NetherlandsShow on map |
| Degree of Recognition | Local |