{"id":68717,"date":"2023-06-22T00:11:15","date_gmt":"2023-06-22T04:11:15","guid":{"rendered":"https:\/\/world.edu\/?p=68717"},"modified":"2023-06-22T00:11:15","modified_gmt":"2023-06-22T04:11:15","slug":"yes-ai-could-help-us-fix-the-productivity-slump-but-it-cant-fix-everything","status":"publish","type":"post","link":"https:\/\/world.edu\/yes-ai-could-help-us-fix-the-productivity-slump-but-it-cant-fix-everything\/","title":{"rendered":"Yes, AI could help us fix the productivity slump \u2013 but it can\u2019t fix everything"},"content":{"rendered":"

\"\"
\nOur nation is experiencing its lowest productivity growth\u00a0in 60 years<\/a>, according to the Committee for the Economic Development of Australia. And this\u00a0downturn<\/a>\u00a0is reflected across most advanced economies worldwide.<\/p>\n

So it\u2019s not surprising some see the rise of artificial intelligence (AI) as productivity\u2019s saviour.\u00a0Media articles<\/a>\u00a0herald a new era of high productivity enabled by AI, and particularly by generative AI tools such as\u00a0ChatGPT and DALL-E<\/a>.<\/p>\n

Similarly, the world\u2019s top journals are filled with accounts of how AI has enabled transformative leaps in research. Machine learning has been used, for example, to predict\u00a0the shape of proteins<\/a>\u00a0from DNA information, or to\u00a0control the shape<\/a>\u00a0of super-heated plasma in a nuclear fusion reaction. One team\u00a0at CSIRO designed<\/a>\u00a0an AI-based autonomous system that can manufacture and test 12,000 solar cell designs within 24 hours.<\/p>\n

Does that mean we can flick the switch, leave it on auto, and go to the beach? Not quite.<\/p>\n

Not a productivity panacea<\/strong><\/h4>\n

As much as the above examples provide hope, they also distract from the many AI applications that haven\u2019t quite worked. These are the cases, often not captured in journals and media, where using AI has been costly and time-consuming and failed to generate the desired result.<\/p>\n

In 2021, the AI community had to pause when 62 published studies that used machine learning to diagnose COVID-19 from chest scans were found to be unreliable and\u00a0unusable in clinical settings<\/a>, mostly due to problems with the input data. It was a stark reminder AI is fallible.<\/p>\n

That\u2019s not to say AI can\u2019t be used to boost productivity \u2013 just that it isn\u2019t an off-the-shelf panacea to our productivity woes. AI can\u2019t magically fix problems related to inefficient processes, poor governance and bad culture.<\/p>\n

If you drop advanced AI into a dumb organisation, it won\u2019t make it smart. It will just help the organisation do dumb stuff more efficiently (in other words, quicker). This will hardly lead to a productivity gain.<\/p>\n

Where AI applications work<\/strong><\/h4>\n

One\u00a0recent study<\/a>\u00a0by the US National Bureau of Economic Research found a 14% increase in productivity among customer service agents who used an AI tool to help guide conversations. In Australia, Westpac says AI has provided a\u00a046% productivity increase<\/a>\u00a0for its software engineers, with no loss in quality of work.<\/p>\n

In many ways these examples aren\u2019t surprising. It\u2019s obvious AI can boost productivity when used effectively; Google Maps is clearly better at getting someone from A to B than an old road atlas.<\/p>\n

So what\u2019s common among the situations where AI performs well?<\/p>\n

Successful applications of AI tend to be characterised by a clear need and function for the AI system. They are well integrated within the business or organisation\u2019s broader processes, and do not interfere with employees\u2019 other tasks.<\/p>\n

They also tend to have high-quality, fit-for-purpose and curated datasets used to train the algorithms, and are applied safely and in accordance with\u00a0ethics principles<\/a>.<\/p>\n

Where AI applications fail<\/strong><\/h4>\n

However, it\u2019s difficult to achieve AI productivity benefits across an entire organisation, let alone an entire economy. Many organisations still struggle with much more basic digital transformation.<\/p>\n

Consulting firm Deloitte<\/a>\u00a0estimates 70% of organisations\u2019 digital transformation efforts fail. Perhaps the real solution to the productivity dilemma lies less in using AI, and more in managing the organisational inefficiencies associated with adopting new technology.<\/p>\n

Modern offices are chock-a-block with pointless emails, unnecessary meetings and bureaucratic processes that sap workers\u2019 energy and motivation.\u00a0Research has established<\/a>\u00a0that productivity decreases when workers face this onslaught of busywork and distractions.<\/p>\n

It\u2019s unlikely AI will solve this. The currency of the modern day is attention; an AI that\u2019s built to shield us from unnecessary busywork may end up nagging us. We may even see a future where AI tools designed to shield us from distraction are competing with AI tools designed to distract us.<\/p>\n

University of Leeds economist Stuart Mills\u00a0points out<\/a>\u00a0that if tools such as ChatGPT merely automate bureaucratic inefficiencies, they won\u2019t raise productivity at all.<\/p>\n

We once asked a friend, a senior manager in a global engineering company, if he uses ChatGPT for his work. \u201cOh yes,\u201d he exclaimed enthusiastically.<\/p>\n

\u201cI use it for generating all those reports management keeps asking me for. I know no one will ever read it, so it doesn\u2019t need to be high quality.\u201d<\/p>\n

Towards long-term productivity gains<\/strong><\/h4>\n

It seems very likely AI will improve productivity at a societal level in the long run, and some of these improvements may be transformative.<\/p>\n

As of September 2022,\u00a0research found<\/a>\u00a05.7% of all peer-reviewed research published worldwide was on the topic of AI \u2013 up from 3.1% in 2017, and 1.2% in 2000.<\/p>\n

It\u2019s clear innovators everywhere are exploring how AI can supercharge their productivity \u2013 and perhaps help them make discoveries. We can expect effective solutions that genuinely solve problems will self-select and organically rise to the top.<\/p>\n

Successful AI implementation requires understanding the context within which the technology is being applied. It requires picking up the correct tool for the task at hand, and using it in the correct way. And even before that, it requires working through issues of process, governance, culture and ethics.<\/p>\n

Author Bios:<\/strong> Stefan Hajkowicz is a Senior Principal Scientist, Strategy and Foresight and Jon Whittle is Director both at Data61<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

Our nation is experiencing its lowest productivity growth\u00a0in 60 years, according to the Committee for the Economic Development of Australia. And this\u00a0downturn\u00a0is reflected across most advanced economies worldwide. So it\u2019s not surprising some see the rise of artificial intelligence (AI) as productivity\u2019s saviour.\u00a0Media articles\u00a0herald a new era of high productivity enabled by AI, and particularly […]\n… learn more→<\/a><\/p>","protected":false},"author":33,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[3],"tags":[434496],"coauthors":[11733],"class_list":["post-68717","post","type-post","status-publish","format-standard","hentry","category-business-politics","tag-productivity-slump"],"acf":[],"yoast_head":"\nYes, AI could help us fix the productivity slump \u2013 but it can\u2019t fix everything - World leading higher education information and services<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/world.edu\/yes-ai-could-help-us-fix-the-productivity-slump-but-it-cant-fix-everything\/\" class=\"yoast-seo-meta-tag\" \/>\n<meta property=\"og:locale\" content=\"en_US\" class=\"yoast-seo-meta-tag\" \/>\n<meta property=\"og:type\" content=\"article\" class=\"yoast-seo-meta-tag\" \/>\n<meta property=\"og:title\" content=\"Yes, AI could help us fix the productivity slump \u2013 but it can\u2019t fix everything - World leading higher education information and services\" class=\"yoast-seo-meta-tag\" \/>\n<meta property=\"og:description\" content=\"Our nation is experiencing its lowest productivity growth\u00a0in 60 years, according to the Committee for the Economic Development of Australia. 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