Moral behaviour alters impressions of humans and AIs on teams: unethical AIs are more powerful while ethical humans are nicer

心理学 社会心理学 互联网隐私 计算机科学
作者
Daniel B. Shank,Matthew Dew,Fatima Waqi Sajjad
出处
期刊:Behaviour & Information Technology [Informa]
卷期号:: 1-12
标识
DOI:10.1080/0144929x.2024.2403651
摘要

Artificial intelligence (AI) agents are increasingly being used as teammates, not just as tools, across many domains, and teammates' moral behaviour can alter impressions of themselves and the team. How good, powerful, and active is an AI versus human team member engaging in an ethical or unethical behaviour? How good, powerful, and active is their team? To address these questions, we conduct four studies across three domains (chess, esports, and poetry composition) where participants rate their impressions of team members and teams presented in a scenario. In the scenario, a member of a hybrid team of 2 humans and 2 AIs is presented with an opportunity to cheat, and either does or does not. We manipulate which team member (AI vs human) is acting and the morality of that action (non-cheating vs cheating). Across the studies, results show that ethical behaviour significantly increases the goodness of the human more than the AI, and unethical behaviour significantly increases the power of the AI more than the human. However, there were no systematic human versus AI differences on team impressions.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI

祝大家在新的一年里科研腾飞
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
今后应助花痴的骁采纳,获得10
刚刚
2秒前
4秒前
美满花生发布了新的文献求助10
5秒前
5秒前
MchemG应助Kannan采纳,获得10
6秒前
猪猪hero发布了新的文献求助10
7秒前
眯眯眼的衬衫应助敏敏采纳,获得10
7秒前
8秒前
8秒前
8秒前
9秒前
花花123发布了新的文献求助10
9秒前
6611完成签到,获得积分20
10秒前
wanci应助瞬间de回眸采纳,获得10
10秒前
13秒前
顾矜应助猪猪hero采纳,获得30
14秒前
飞逝的快乐时光完成签到 ,获得积分10
14秒前
15秒前
伯言完成签到,获得积分20
15秒前
花痴的骁发布了新的文献求助10
16秒前
16秒前
夏漆应助仙林AK47采纳,获得20
17秒前
白云垛发布了新的文献求助10
18秒前
艺艺发布了新的文献求助10
19秒前
东方从露完成签到,获得积分10
19秒前
慕青应助愿。景采纳,获得10
20秒前
CipherSage应助好运连连采纳,获得10
20秒前
Yifan2024应助ll采纳,获得10
20秒前
22秒前
爱科研发布了新的文献求助30
22秒前
乐乐应助花痴的骁采纳,获得10
24秒前
wen发布了新的文献求助10
24秒前
bleem完成签到,获得积分10
24秒前
24秒前
上官若男应助科研通管家采纳,获得10
24秒前
CodeCraft应助科研通管家采纳,获得10
24秒前
NexusExplorer应助科研通管家采纳,获得10
24秒前
科研通AI2S应助科研通管家采纳,获得10
24秒前
小二郎应助科研通管家采纳,获得10
24秒前
高分求助中
Востребованный временем 2500
The Three Stars Each: The Astrolabes and Related Texts 1500
Very-high-order BVD Schemes Using β-variable THINC Method 990
Les Mantodea de Guyane 800
Mantids of the euro-mediterranean area 700
Field Guide to Insects of South Africa 660
Mantodea of the World: Species Catalog 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3397331
求助须知:如何正确求助?哪些是违规求助? 3006505
关于积分的说明 8821487
捐赠科研通 2693700
什么是DOI,文献DOI怎么找? 1475421
科研通“疑难数据库(出版商)”最低求助积分说明 682396
邀请新用户注册赠送积分活动 675758