Could AI solve the UK’s productivity problem?

2022-11-06 18:31:36
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UK productivity has remained relatively static for the past 15 years with minimal growth compared to countries like China and the US. The cause is up for debate, but many experts predict the solution is to take away the boring and repetitive tasks and get AI to handle them. This would leave humans to focus on growth and creative pursuits, but MPs at a hearing into the use of AI in the workplace heard this week that protections must be put in place to safeguard workers.

Researchers predict humans and AI will work regularly side-by-side within the next three years (Photo: PaO_STUDIO/Shutterstock)
Researchers predict humans and AI will work regularly side-by-side within the next three years. (Photo: PaO_STUDIO/Shutterstock)

During a DCMS select committee hearing on the role of smart technology in the workplace on Tuesday, Dr Matthew Cole, researcher at the Fairwork Project said there are positives around using AI to free up human staff for activities people are better at than technology but warned there are privacy risks.

“There are risks to saturation of working life with data and tracking technologies including RFID and sentiment analysis,” he said. “It can be used in ways that don’t benefit workers and infringe on privacy. It is important to navigate benefits and drawbacks.”

Despite these risks, Dr Cole told the select committee there is a role for AI in solving the productivity gap, saying “it isn’t a question of algorithms versus humans, it is how the two can work together”.

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The pandemic only increased the productivity problem. As well as a shift in where we work it changed how we work, a trend that started before the pandemic with the rise of Generation Z, the first fully digital native generation. It triggered the so-called “great resignation”, a phenomenon that saw hundreds of thousands of employees leave their jobs in the UK alone, and not all of them returned to the workforce.

It also led to 'quiet quitting', with employees limiting their productivity and working the minimum specified in their employment contracts. The reason behind both of these is up for debate, but the CEO of workplace AI company Laiye International, Ronen Lamdan, puts it down to boredom, frustration and a change in attitude over what people want from work.

A new survey of 1,300 c-suite executives by Laiye found that 96% said they are aware many of their employees are looking for other work, with 40% saying staff were looking outside the business and 54% looking for a lateral move in the hope of doing something different within the company. Those responding also noticed changes because of quiet quitting, with 53% saying company growth slowed and 46% said there had been overall poor productivity levels from their workforce.

The survey looked at issues around the modern workforce and engagement, carried out by independent research company Coleman Parkes. It found multiple challenges facing companies including around keeping employees engaged and attracting those with in-demand skills. It involved executives working at utilities, in retail, financial services, travel, manufacturing and logistics, and questioned them on post-pandemic changes and their impact.

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In the UK alone 78% found keeping employees engaged was a major challenge and 67% said retaining talent is a growing problem. This is driven in part by the fact employees are tired of carrying out the same repetitive tasks, with 58% of executives saying that is a problem.

Everyday tasks can be handled by AI

Lamdan maintains that the solution to this is through artificial intelligence. Handing over everyday tasks, such as filing invoices and logging hours to a smart assistant could free up the human to focus on finding new business, looking for efficiencies and being creative, he argues

“AI is not the enemy, but it is unavoidably here. Protecting human jobs means using AI to work alongside, not against people. For that we need a clear framework, both in policy and in business strategy,” he says. “Closing the human versus digital gap, and its nefarious consequences like burnout, low productivity and resignations it causes, is vital. This is the work execution gap. Empowering people to programme their digital co-workers to make their own jobs better means humans remain firmly in the loop, no human jobs get lost. The Government should plan to enable business to implement this with incentives and advances for those putting their workforce first.”

Dr Efpraxia Zamani, senior lecturer in information systems at the University of Sheffield told the DCMS select committee that smart devices and AI offer several efficiencies including in “supply chains and operations, generating responsive environments and increases in productivity in different workplaces,” but that it comes with trade-offs.

“There are trade-offs with negative implications,” she warned. “For these devices to be useful they have to collect data and process data and at the end of the chain there are decisions made.” For this technology to work she said it is vital the data used to train the systems is varied and of good quality, and there is informed consent for those using and not using the technology.

Dr Cole agrees, but says it is also vital that any use of automation considers the impact on the human, such as ensuring people have time to disconnect from work and technology. He told MPs: “If you look at the growth of the major tech companies, they are supporting an entire ecosystem of AI and data-based and cloud-based companies that are shifting the infrastructure of society and infrastructure of work. Whether it be logistics, last-mile delivery or jobs."

Vital employees are protected

The effects of AI in the workplace "are very clear," Dr Cole continued, "and one of the biggest issues concerns control over data. GDPR provides a certain degree of protection for private individuals but in terms of protecting workers and the workplace, there are few provisions. They deal with public access requests and automated decision-making but there is a lack of enforcement.”

He said the government needs to introduce greater protections for workplace users of AI technology as this is likely to be pervasive throughout industry.

“Any kind of repetitive cognitive task is subject to this new wave of automation,” he said. “They won’t completely disappear, the task composition will change but they will be largely de-skilled and opened to more competition and flexibility in the labour market. That tends to reduce bargaining power and wages which needs mitigating against.”

In its survey, Laiye found that companies are starting to change the way they work to use AI to empower humans to be more innovative, with 31% investing in professional and career development and 27% evaluating basic admin roles in terms of productivity and job satisfaction.

Dr Cole warned the MPs leading the select committee hearing that large companies such as Amazon are heavily tracking the movements of staff not to help productivity but to automate those jobs, declaring it “would be easier for them if they didn’t need human employees”.

For employers, 40% see 2025 as the point when workers and AI will be working closely together, 95% plan to have some degree of digital workforce, and 58% plan to give staff digital assistance to increase productivity, according to the Laiye survey.

When asked about how we can prepare for this future where data and automation is central to all jobs, Dr Cole said: “I think there should be greater education in the public about data rights and you could introduce a type of regulation that requires companies to make your rights more intelligible.”

Topics in this article: AI, Automation, Governance

参考译文
人工智能能解决英国的生产力问题吗?
过去15年间,英国的生产力水平基本保持不变,与中美等国相比增长微乎其微。造成这一现象的原因众说纷纭,但许多专家预测,解决方案是将那些无聊、重复的任务交给人工智能(AI)来完成。这样一来,人类便可以专注于增长和创造性的任务。但本周,在有关工作场所中人工智能使用的听证会上,议员们听到了一个观点:必须采取措施,以保护劳动者权益。研究人员预测,未来三年内,人类与人工智能将经常并肩工作。(图片:PaO_STUDIO/Shutterstock) 在周二举行的数字文化部特别委员会会议上,公平工作项目(Fairwork Project)研究员马修·科尔博士表示,使用AI来解放员工,让他们从事人类更擅长的活动,确实具有积极意义,但他也警告说存在隐私风险。“将工作生活过度数据化和追踪技术(如RFID和情绪分析)带来一定风险,”他说,“这些技术可能会以损害员工利益和侵犯隐私的方式被使用。重要的是要在利弊之间取得平衡。” 尽管存在这些风险,科尔博士告诉特别委员会,人工智能在解决生产率差距方面有其作用。他说,“这不是算法与人类之间的对立,而是两者如何协同工作的问题。” 公司洞察 查看所有报告 查看所有数据洞察 新冠疫情加剧了这一生产率问题。它不仅改变了我们工作的地点,也改变了我们工作的模式。这一趋势在疫情前就已经开始,特别是随着第一批完全数字化原生的一代人——千禧Z世代的兴起。疫情还引发了所谓的“大辞职”现象,仅在英国就有数十万名员工离职,而且并非所有员工都重新就业。它还导致了“躺平式工作”(quiet quitting)现象,即员工将生产力限制在合同所规定的最低限度。 这两种现象背后的原因尚无定论,但职场人工智能公司Laiye International的首席执行官洛南·拉姆丹认为,这源于员工的无聊、沮丧以及对工作期望的变化。 Laiye公司对1300名高管进行的一项新调查显示,96%的人表示他们清楚很多员工正在寻找其他工作机会,其中40%的人表示员工正在公司外部寻找机会,54%的人希望在公司内部寻求横向调动,以从事不同的工作。 回答调查的高管们还注意到,“躺平式工作”带来了变化,其中53%的人表示公司增长放缓,46%的人表示员工整体生产力水平不佳。 这项调查由独立研究公司科尔曼帕克斯(Coleman Parkes)进行,围绕现代员工队伍和员工参与度问题展开。它发现,公司面临着多个挑战,包括如何留住员工以及吸引拥有热门技能的人才。调查对象包括在能源、零售、金融服务、旅游、制造和物流行业工作的高管,并就疫情后变化及其影响进行了提问。 来自我们合作伙伴的内容 德国新数字战略如何促进制造商发展 公司如何将数据战略与业务价值结合 为SaaS供应商推动数字化转型 仅在英国,78%的受访者认为保持员工参与是重大挑战,67%的人表示留住人才正变得越来越困难。这在一定程度上是由员工厌倦重复性工作所导致的,58%的高管表示这确实是个问题。 日常工作可以交由人工智能处理,拉姆丹认为解决方案在于人工智能。他主张,将日常任务,如处理发票和记录工作时间交给智能助手来处理,可以解放人类员工,使他们能够专注于寻找新业务、提高效率和进行创意工作。“人工智能不是敌人,但它不可避免地已经来到。保护人类工作,意味着将人工智能用于与人类协同工作,而非对抗。为此,我们需要在政策和商业战略上建立清晰的框架,”他说,“弥合人类与数字化之间的差距,以及由此带来的负面影响,如工作倦怠、低效产出和离职现象至关重要。这就是所谓的‘执行差距’。让员工能够编程他们的数字同事来改善自己的工作,意味着人类始终处于核心地位,不会失去任何工作机会。政府应该计划通过激励措施和优先考虑员工的公司提供支持,来推动企业实施这一方案。” 谢菲尔德大学信息系统高级讲师埃夫拉克西娅·扎马尼博士在数字文化部特别委员会会议上表示,智能设备和人工智能在“供应链和运营、创造响应式环境以及提升不同工作场所的生产效率”方面提供了多种效率提升,但同时也伴随着代价。“这些设备要发挥作用,必须收集和处理数据,最终会做出决策,”她警告称,“这会带来负面的影响。” 她说,要使这项技术发挥作用,关键在于用于训练系统的数据要多样化且质量高,同时必须确保使用或不使用该技术的人员知情并同意。科尔博士也表示同意,但他还强调,任何自动化应用都应考虑对人类的影响,例如确保员工有时间远离工作和科技。 他对议员们说:“如果你看看主要科技公司的发展情况,它们正在支持一个由人工智能、数据和云服务公司组成的完整生态系统,这正在重塑社会和工作的基础设施,无论是在物流、最后一公里配送还是工作中。” 员工权益得到保障 科尔博士继续说道:“人工智能在工作场所的影响是显而易见的,最大的问题之一是数据的控制权。GDPR在一定程度上保护了个人隐私,但在保护员工和工作环境方面则缺乏具体措施。它们处理的是公共访问请求和自动化决策,但缺乏有效执行机制。”他说政府需要为工作场所中AI技术的用户提供更强的保护,因为这很可能会在各行各业广泛普及。“任何重复性的认知任务都有可能被新一轮自动化所取代,”他说,“这些任务不会完全消失,任务构成将发生变化,但它们将大幅去技能化,使劳动力市场更具竞争性和灵活性。这往往会降低议价能力和工资,必须加以缓解。” 在Laiye的调查中,研究人员发现,公司正在开始改变工作方式,以利用人工智能来赋予员工更多创新能力,31%的公司正在投资于专业和职业发展,27%的公司则在评估基础行政职位的生产率和工作满意度。 科尔博士警告听证会的议员们,像亚马逊这样的大公司正在大量跟踪员工的活动,不是为了提高生产率,而是为了自动化这些工作,他称这“对他们而言,如果不需要人类员工会更容易”。 根据Laiye的调查,40%的企业认为2025年将是员工与人工智能密切合作的转折点,95%的企业计划拥有一定程度的数字员工队伍,58%的企业计划为员工提供数字辅助以提高生产率。 当被问及如何为一个数据和自动化贯穿所有工作的未来做好准备时,科尔博士表示:“我认为公众对数据权利的教育应该更多,你可以引入一种法规,要求公司更清晰地向员工说明他们的权利。” 本文主题:AI、自动化、治理
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