
加州大学伯克利分校研究人员的最新研究表明,人工智能能提升员工工作效率,也可能导致职业倦怠。
《哈佛商业评论》刊登了一篇关于这项仍在进行中的研究的文章,文中指出,人工智能承诺的生产力革命与效率提升已在美国企业界初步显现,其中包括伯克利分校研究人员调研的一家未披露名称、拥有200名员工的美国科技公司。
在为期8个月的调研中,研究人员对工程、产品、设计、研发和运营等部门的40名员工进行了“深度”访谈。研究人员发现:即便没有强制要求,使用人工智能工具的员工不仅能完成更多工作,还能处理更多类型的任务。
然而,随着员工工作效率提升,他们承担的工作量也随之增加,部分原因在于人工智能让任务启动变得极为简便。很快,部分员工开始利用休息时间给人工智能下达指令,最终导致工作时间几乎被任务填满。
布鲁克林Elevate Point项目总监、注册临床社会工作者丽贝卡·西尔弗斯坦(Rebecca Silverstein)向《财富》杂志表示,这种隐性压力加上缺乏休整时间,可能导致员工工作效率下降。
当员工全天被工作占满、牺牲休息时间时,他们就会放弃维护人际关系,而人际关系对职场生活的重要性不亚于工作本身。
她补充道,员工需要在工作间隙或下班后休息,以恢复精力,从而维持高效工作状态。
西尔弗斯坦说道:“从长远来看,这种只追求生产力提升的思维模式对个人而言伤害极大。”
正如伯克利分校研究人员采访的一位员工所言:“你原本可能会想,'借助人工智能提升效率,那就可以节省些时间,少干点活。'但实际上,你并没有少干活。你干的活还是一样多,甚至更多了。”
研究人员警告称,员工主动承担更多任务的想法看似理想,但连轴转的工作模式可能引发后续问题,包括工作与生活边界模糊、职业倦怠以及认知疲劳。
更糟的是,研究人员发现,员工一味追求大幅提升工作效率,反而可能导致工作质量下降。
员工将人工智能形容为能协助处理各类任务的“工作搭档”,但这种模式导致更多多任务处理和任务切换——此前研究表明,这会降低工作效率。
研究人员发现,当员工意识到技术使每个人承担更多工作时,这种隐性压力会给员工带来心理负担。
如何应对人工智能带来的工作过载
为应对人工智能带来的工作过载趋势,加州大学伯克利分校的研究人员建议企业主动做出规划:在工作流程中设置暂停环节,以便更好地评估决策或重新审视假设,同时合理安排工作,确保员工拥有不受干扰的专注时段。研究人员还表示,企业应重视人际关系与社交互动。
乔什·卡多兹(Josh Cardoz)担任Sponge公司首席创意与学习官,专为企业提供人工智能时代员工赋能建议。他在接受《财富》杂志采访时表示,企业无论以明示还是暗示方式鼓励使用人工智能,都不应以牺牲工作质量为代价。
他认为,变革必须自上而下推行。
企业管理者需根据员工岗位职责,明确定义“人工智能素养”的具体内涵。在制定人工智能战略时,应鼓励员工建言献策。他还指出,公司应当表彰已充分运用人工智能提升工作效率的员工。
卡多兹表示,最重要的是,面对这场职场快速变革,企业需要回归根本:既要鼓励员工拥抱新技术,也要向他们承诺,会帮助他们缓解对未知技术的恐惧和焦虑。
“必须牢记,这一切都离不开人。”他说道。(财富中文网)
译者:中慧言-王芳
加州大学伯克利分校研究人员的最新研究表明,人工智能能提升员工工作效率,也可能导致职业倦怠。
《哈佛商业评论》刊登了一篇关于这项仍在进行中的研究的文章,文中指出,人工智能承诺的生产力革命与效率提升已在美国企业界初步显现,其中包括伯克利分校研究人员调研的一家未披露名称、拥有200名员工的美国科技公司。
在为期8个月的调研中,研究人员对工程、产品、设计、研发和运营等部门的40名员工进行了“深度”访谈。研究人员发现:即便没有强制要求,使用人工智能工具的员工不仅能完成更多工作,还能处理更多类型的任务。
然而,随着员工工作效率提升,他们承担的工作量也随之增加,部分原因在于人工智能让任务启动变得极为简便。很快,部分员工开始利用休息时间给人工智能下达指令,最终导致工作时间几乎被任务填满。
布鲁克林Elevate Point项目总监、注册临床社会工作者丽贝卡·西尔弗斯坦(Rebecca Silverstein)向《财富》杂志表示,这种隐性压力加上缺乏休整时间,可能导致员工工作效率下降。
当员工全天被工作占满、牺牲休息时间时,他们就会放弃维护人际关系,而人际关系对职场生活的重要性不亚于工作本身。
她补充道,员工需要在工作间隙或下班后休息,以恢复精力,从而维持高效工作状态。
西尔弗斯坦说道:“从长远来看,这种只追求生产力提升的思维模式对个人而言伤害极大。”
正如伯克利分校研究人员采访的一位员工所言:“你原本可能会想,'借助人工智能提升效率,那就可以节省些时间,少干点活。'但实际上,你并没有少干活。你干的活还是一样多,甚至更多了。”
研究人员警告称,员工主动承担更多任务的想法看似理想,但连轴转的工作模式可能引发后续问题,包括工作与生活边界模糊、职业倦怠以及认知疲劳。
更糟的是,研究人员发现,员工一味追求大幅提升工作效率,反而可能导致工作质量下降。
员工将人工智能形容为能协助处理各类任务的“工作搭档”,但这种模式导致更多多任务处理和任务切换——此前研究表明,这会降低工作效率。
研究人员发现,当员工意识到技术使每个人承担更多工作时,这种隐性压力会给员工带来心理负担。
如何应对人工智能带来的工作过载
为应对人工智能带来的工作过载趋势,加州大学伯克利分校的研究人员建议企业主动做出规划:在工作流程中设置暂停环节,以便更好地评估决策或重新审视假设,同时合理安排工作,确保员工拥有不受干扰的专注时段。研究人员还表示,企业应重视人际关系与社交互动。
乔什·卡多兹(Josh Cardoz)担任Sponge公司首席创意与学习官,专为企业提供人工智能时代员工赋能建议。他在接受《财富》杂志采访时表示,企业无论以明示还是暗示方式鼓励使用人工智能,都不应以牺牲工作质量为代价。
他认为,变革必须自上而下推行。
企业管理者需根据员工岗位职责,明确定义“人工智能素养”的具体内涵。在制定人工智能战略时,应鼓励员工建言献策。他还指出,公司应当表彰已充分运用人工智能提升工作效率的员工。
卡多兹表示,最重要的是,面对这场职场快速变革,企业需要回归根本:既要鼓励员工拥抱新技术,也要向他们承诺,会帮助他们缓解对未知技术的恐惧和焦虑。
“必须牢记,这一切都离不开人。”他说道。(财富中文网)
译者:中慧言-王芳
AI is making workers more productive, but it could also be burning them out, according to a new study by researchers at the University of California at Berkeley.
The revolution and the skyrocketing productivity AI promised is already taking hold in corporate America, including at an unnamed 200-person U.S. tech firm studied by the Berkeley researchers, an article about the in-progress research published in the Harvard Business Review shows.
Over the course of eight months and with the help of 40 “in-depth” interviews across engineering, product, design, research, and operations, the researchers found employees using AI tools increased both the work they could complete as well as the variety of tasks they could tackle—even when they weren’t forced to adopt the technology.
Yet, as employees’ productivity increased, so did the amount of work they took on, in part because AI made it easy to begin tasks. Soon, some workers were using up what previously had been natural breaks during the day to prompt AI, eventually filling most of their time at the office with tasks.
This type of implicit pressure paired with a lack of time to recharge could lead workers to be less productive, Rebecca Silverstein, a licensed clinical social worker and the program director at Brooklyn-based Elevate Point, told Fortune.
When workers take up every part of their day with tasks and sacrifice their breaks, they give up the interpersonal relationships that are just as important to a person’s work life as their actual work.
People also need these breaks, either during the day or after work, to recharge and have the capacity to work effectively, she added.
“Just focusing on that productivity mindset, in the long term, is super harmful for someone,” Silverstein said.
And as one worker who was interviewed by the Berkeley researchers put it: “You had thought that maybe, ‘Oh, because you could be more productive with AI, then you save some time, you can work less.’ But then really, you don’t work less. You just work the same amount or even more.”
The researchers warned that while the idea of workers taking on more tasks voluntarily could seem ideal, nonstop work has the potential to lead to problems down the line, including blurring the boundary between work and nonwork, as well as burnout and cognitive fatigue.
Worse yet, employees’ focus on supercharging their productivity could potentially lead to lower-quality work, the researchers found.
In AI, workers described having a “partner” that helped them take on a larger variety of tasks, and yet, doing so led to more multitasking and task-switching, which has been shown in previous studies to decrease productivity.
When workers found that each of them was doing more work with the help of technology, this created implicit pressure that weighed on them mentally, the researchers found.
How to overcome AI overload
To battle the trend of AI overload, the UC Berkeley researchers recommended organizations take the time to be intentional. They suggested incorporating pauses into work to better evaluate decisions or reconsider assumptions, as well as organizing work so as to protect employees’ windows of focus without interruption. Companies should also prioritize human connection and social exchange, the researchers said.
Josh Cardoz, who advises organizations on enabling people in the AI era in his work as chief creative and learning officer at Sponge, told Fortune organizations also need to make sure that by encouraging AI use either explicitly or implicitly, they are not sacrificing work quality.
These changes have to come from the top, he said.
Company leaders need to define explicitly what AI fluency means for employees depending on their role. When they make decisions about AI strategy, they should encourage employees’ input. Those workers who are already making the most out of AI should also be uplifted by the company, he said.
Most importantly, when it comes to this rapid change in the workplace, Cardoz said companies need to get back to basics by encouraging employees to adopt the new technology, but also assuring them to help decrease the fear and anxiety that accompanies the unknown.
“You need to remember that there’s a human factor in all of this,” he said.