中文导读 华盛顿州立大学2026年10月14日通报的研究发现：担心整份职业被人工智能取代的员工，更可能出现道德推脱，并报告迟到、上班摸鱼等适得其反行为；在金融与保险等高暴露行业中这一链条更明显。本文讨论职业不安全感如何影响日常职场行为。
正文 When workers fear that artificial intelligence may wipe out their whole occupation , do they still follow workplace rules ? On October 14, 2026, Washington State University reported a study published in Occupational Health Science . Across 18 industries , people who felt occupation insecurity were more likely to morally disengage and then report counterproductive behaviors . The finding matters because AI stress is often discussed as burnout or lower satisfaction yet it may also change how people treat daily rules .
本段译文 当员工担心人工智能可能让整个职业消失时，他们还会遵守职场规则吗？2026年10月14日，华盛顿州立大学通报了一项发表于《Occupational Health Science》的研究。在18个行业中，感到职业不安全的人更可能出现道德推脱，并随后报告更多适得其反的职场行为。这一发现之所以重要，是因为人们常把人工智能压力讨论成倦怠或满意度下降——但它也可能改变人们对日常规则的态度。
Lead author Tahira Probst , a professor of psychology at WSU Vancouver , notes a key difference from ordinary job loss . If one bar closes , a bartender can often find work elsewhere in the same profession . But when medical transcription or similar tasks become fully automated , the occupation itself may shrink . Workers then worry not only about one employer , but about their future role in the labor market . Earlier research already linked AI related insecurity to burnout and worse physical and mental health
本段译文 第一作者、华盛顿州立大学温哥华分校心理学教授Tahira Probst指出，这与普通失业不同。如果一家酒吧关门，调酒师往往还能在同一职业里另找工作。但当医学转录等任务被完全自动化时，整个职业本身可能萎缩。员工担心的就不只是某一个雇主，而是自己在劳动力市场上的未来角色。此前研究已把与人工智能相关的不安全感，与倦怠以及更差的身心健康联系起来。
The team linked workers ’ attitudes to an objective measure of industry AI exposure , the AI Industry Exposure index Finance and insurance ranked among the highest ; agriculture and forestry among the lowest . Occupation insecurity predicted moral disengagement — reframing acts people know are wrong as somehow acceptable under pressure . That pathway , in turn , predicted self reported behaviors such as surfing the web during work hours , arriving late for a shift , or even taking a co-worker’s lunch . Probst describes moral disengagement as a way of justifying what organizational policy still forbids
本段译文 研究团队把员工态度与一项客观的行业人工智能暴露指标——AI Industry Exposure指数——联系起来。金融与保险位居最高之列；农业与林业则偏低。职业不安全感能够预测道德推脱——也就是在压力下，把明知不对的行为重新解释成可以接受。这一路径进而预测了自我报告的行为，例如上班时间上网冲浪、轮班迟到，甚至拿走同事的午餐。Probst把道德推脱描述为：为组织政策仍禁止的事找正当理由。
The pattern was stronger where AI disruption looks more likely . In high - exposure sectors , fear of replacement connected more tightly to habits that hurt co-workers and drain organizational resources . In lower exposure fields such as forestry and construction , the same chain was weaker . The researchers surveyed attitudes over three waves and used industry exposure as a macro cue . They measured potential task displacement , not each firm’s actual AI tools
本段译文 在人工智能更可能造成冲击的地方，这一模式更强。高暴露行业中，对被替代的恐惧与伤害同事、消耗组织资源的习惯联系更紧。在林业和建筑等低暴露领域，同一链条较弱。研究者分三波调查态度，并把行业暴露当作宏观线索。他们衡量的是潜在任务替代，而非每家公司实际使用的人工智能工具。
Probst argues that counterproductive acts damage interpersonal trust as well as efficiency . Missing work piles tasks onto colleagues . Cutting corners or wasting resources harms how the organization functions . Co - authors included a WSU graduate student and researchers in Italy and Belgium . The authors say employers should discuss AI carefully , support staff , and account for industry context when they adopt new systems . The research does not claim that AI itself forces people to misbehave . It suggests that unmanaged occupation fear can loosen moral brakes — and that the cost may fall on teams long before any job is automated away .
本段译文 Probst认为，适得其反的行为既损害人际信任，也损害效率。缺勤会把任务堆给同事。偷工减料或浪费资源会伤害组织运转。共同作者包括一名华盛顿州立大学研究生，以及意大利与比利时的研究者。作者建议雇主谨慎讨论人工智能、支持员工，并在采用新系统时考虑行业背景。研究并不声称人工智能本身会迫使人们行为失当。它提示：未被妥善处理的职业恐惧可能松开道德刹车——而代价可能在任何岗位真正被自动化之前，就已经落到团队身上。
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