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Could AI solve the UK’s productivity problem?

2022-11-06
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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?
在过去15年里,英国的生产率一直保持相对稳定,与中国和美国等国相比增长甚微。原因有待讨论,但许多专家预测,解决方案是取消无聊和重复的任务,让人工智能来处理它们。这将使人类专注于成长和创造性追求,但在本周举行的关于人工智能在工作场所使用的听证会上,议员们听到,必须采取保护措施保护工人。周二,在DCMS特别委员会就智能技术在工作场所的作用举行的听证会上,Fairwork项目的研究员马修·科尔博士表示,使用人工智能可以让人类员工腾出时间从事人类比技术更擅长的活动,这是有好处的,但也警告称,这有隐私风险。他说:“包括RFID和情感分析在内的数据和跟踪技术有可能使工作生活饱和。”“它的使用方式可能不利于员工,还会侵犯隐私。了解它的优点和缺点很重要。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可以发挥作用,他说:“这不是算法与人类之间的问题,而是两者如何合作的问题。”大流行病只会加剧生产力问题。我们工作地点的转变也改变了我们的工作方式,这一趋势在大流行之前随着Z世代(第一代完全数字原生代)的崛起而开始。这引发了所谓的“大辞职”(great辞职)现象,即仅在英国就有数十万员工离职,但并非所有人都重返职场。它还导致了安静辞职,员工限制他们的生产力,工作在他们的雇佣合同中规定的最低限度。这两种情况背后的原因还有待商榷,但职场人工智能公司Laiye International的首席执行官罗内恩·兰丹将其归结为无聊、沮丧和人们对工作期望态度的转变。Laiye对1,300名高管进行的一项新调查发现,96%的高管说他们知道很多员工在寻找其他工作,40%的人说员工在寻找业务以外的工作,54%的人在寻求横向调动,希望在公司内部做一些不同的事情。受访者还注意到了悄然辞职带来的变化,53%的人说公司增长放缓,46%的人说他们的员工整体生产力水平很低。这项调查是由独立研究公司Coleman Parkes开展的,关注的是现代劳动力和敬业度方面的问题。该报告发现,企业面临多重挑战,包括如何保持员工的敬业精神,以及如何吸引拥有所需技能的员工。调查涉及公共事业、零售、金融服务、旅游、制造和物流等行业的高管,询问他们大流行后的变化及其影响。仅在英国,78%的公司认为保持员工敬业是一个主要挑战,67%的公司表示留住人才是一个日益严重的问题。这在一定程度上是因为员工厌倦了重复的工作,58%的高管表示这是一个问题。兰丹坚持认为,解决这个问题的办法是通过人工智能。他认为,将归档发票和记录工作时间等日常任务交给智能助手,可以让人们把精力集中在寻找新业务、寻求效率和创新上 “人工智能不是敌人,但它是不可避免的。保护人类的就业机会意味着使用人工智能与人类并肩工作,而不是对抗人类。为此,我们需要一个明确的框架,包括政策和商业战略。”“缩小人与数字之间的差距,以及由此导致的精疲力竭、生产率低下和辞职等不良后果,至关重要。这就是工作执行差距。授权人们为他们的数字同事编程,使他们的工作更好,这意味着人类仍然牢牢地处于这个循环中,没有人会失去工作。政府应计划使企业能够实施这一计划,为那些把员工放在首位的企业提供激励和预付款。谢菲尔德大学信息系统高级讲师Efpraxia Zamani博士告诉DCMS特别委员会,智能设备和人工智能在“供应链和运营、生成响应性环境和提高不同工作场所的生产率”等方面提供了几种效率,但这需要权衡。有负面影响的权衡。”“为了让这些设备发挥作用,它们必须收集和处理数据,在链的末端是决策。”她说,要让这项技术发挥作用,用于训练系统的数据要多样化、高质量,使用和不使用该技术的人都要知情同意,这一点至关重要。科尔博士对此表示赞同,但他表示,在使用自动化技术时,也要考虑到对人类的影响,比如确保人们有时间脱离工作和科技。他对议员们表示:“如果你看看主要科技公司的增长,就会发现它们正在支持一个由人工智能、基于数据和云计算的公司组成的完整生态系统,这些公司正在改变社会和工作的基础设施。无论是物流,最后一英里的交付或工作。"人工智能在工作场所的影响"非常明显,"Cole博士继续说,其中一个最大的问题是对数据的控制。GDPR为个人提供了一定程度的保护,但在保护工人和工作场所方面,却很少有规定。他们处理公众访问请求和自动化决策,但缺乏执行。他说,政府需要为人工智能技术的工作场所用户提供更大的保护,因为这可能会在整个行业普遍存在。”任何类型的重复性认知任务都将受到这一新的自动化浪潮的影响。”“他们不会完全消失,工作构成也会发生变化,但他们的技能将大幅下降,劳动力市场将面临更多竞争和灵活性。这往往会降低议价能力和需要减轻的工资。在调查中,来业发现,企业正开始改变工作方式,利用人工智能增强人类的创新能力,31%的公司在专业和职业发展方面进行了投资,27%的公司从生产力和工作满意度方面对基本管理角色进行了评估。科尔博士警告主持特别委员会听证会的议员们,亚马逊(Amazon)等大公司大量跟踪员工的流动,不是为了提高生产率,而是为了实现这些工作的自动化。他宣称,“如果它们不需要人工员工,这对它们来说会更容易”。根据Laiye的调查,40%的雇主认为2025年将是工人和人工智能密切合作的时刻,95%的雇主计划拥有某种程度的数字化劳动力,58%的雇主计划为员工提供数字化协助以提高生产率。当被问及我们如何为数据和自动化成为所有工作中心的未来做准备时,科尔博士说:“我认为,应该对公众进行更多关于数据权利的教育,你可以引入一种规定,要求公司让你的权利更容易理解。”
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