Examining the Effects of Race on Human-AI Cooperation
Examining the Effects of Race on Human-AI Cooperation
复制标题
检查种族对人类与人工智能合作的影响
DOI:
10.1007/978-3-030-80387-2_27
复制
发表时间:
2021
期刊:
影响因子:
--
通讯作者:
Dancy, C. L.
中科院分区:
文献类型:
--
作者:
Atkins, A. A.;Brown, M. S.;Dancy, C. L.
Recent literature has shown that racism and implicit racial biases can affect one’s actions in major ways, from the time it takes police to decide whether they shoot an armed suspect, to a decision on whether to trust a stranger. Given that race is a social/power construct, artifacts can also be racialized, and these racialized agents have also been found to be treated differently based on their perceived race. We explored whether people’s decision to cooperate with an AI agent during a task (a modified version of the Stag hunt task) is affected by the knowledge that the AI agent was trained on a population of a particular race (Black, White, or a non-racialized control condition). These data show that White participants performed the best when the agent wasracializedas White and not racialized at all, while Black participants achieved the highest score when the agent was racialized as Black. Qualitative data indicated that White participants were less likely to report that they believed that the AI agent was attempting to cooperate during the task and were more likely to report that they doubted the intelligence of the AI agent. This work suggests that racialization of AI agents, even if superficial and not explicitly related to the behavior of that agent, may result in different cooperation behavior with that agent, showing potentially insidious and pervasive effects of racism on the way people interact with AI agents.
影响因子:
2.3
作者:
T. Gerber
通讯作者:
T. Gerber
DOI:
--
发表时间:
2020
期刊:
影响因子:
--
作者:
Sasha Costanza
通讯作者:
Sasha Costanza
影响因子:
4.3
作者:
Yoshida W;Dolan RJ;Friston KJ
通讯作者:
Friston KJ