{"id":8041,"date":"2024-02-23T12:30:45","date_gmt":"2024-02-23T11:30:45","guid":{"rendered":"https:\/\/www.gpsj.co.uk\/?p=8041"},"modified":"2024-02-23T12:31:08","modified_gmt":"2024-02-23T11:31:08","slug":"government-learning-lessons-about-ai-from-gov-uk-chat-experiment","status":"publish","type":"post","link":"https:\/\/www.gpsj.co.uk\/?p=8041","title":{"rendered":"Government learning lessons about AI from GOV.UK Chat experiment"},"content":{"rendered":"\n

By Sascha Giese, Tech Evangelist, SolarWinds<\/em><\/p>\n\n\n

\n
\"\"<\/figure>\n<\/div>\n\n\n

The Government Digital Service (GDS) – part of the Cabinet Office responsible for digital transformation in the UK – is exploring how generative artificial intelligence (AI) could improve the user experience of the government\u2019s website.<\/p>\n\n\n\n

Public sector IT experts are using generative large language models (LLMs) – the same technology behind chatbots such as ChatGPT- to come up with a more intuitive way for people to interact with government departments and agencies.<\/p>\n\n\n\n

Instead of searching for information – or scrolling through pages of documents – GOV.UK Chat, as it\u2019s known, allows people to simply tap in a question and wait for an answer.<\/p>\n\n\n\n

As you\u2019d expect with an experiment on this scale, the results have been mixed.<\/p>\n\n\n\n

Early analysis has found that while most people liked using GOV.UK Chat, there were a few teething problems. One of the issues highlighted centred on the accuracy of some of the replies.<\/p>\n\n\n\n

As a blog<\/a> published in January explains, some of the answers \u201cdid not reach the highest level of accuracy demanded for a site like GOV.UK, where factual accuracy is crucial.\u201d<\/p>\n\n\n\n

It went on: \u201cWe also observed a few cases of hallucination – where the system generated responses containing incorrect information presented as fact – mostly in response to users\u2019 ambiguous or inappropriate queries.\u201d<\/p>\n\n\n\n

Our AI journey has only really just begun<\/strong><\/p>\n\n\n\n

For me, the findings – supported by another excellent article<\/a> from the multidisciplinary team running the experiment – are fascinating and provide insights into a project like this.<\/p>\n\n\n\n

As they explain: \u201cRecently, there\u2019s been a lot of discussion about artificial intelligence (AI). So, it\u2019s clear the spotlight is on the opportunities and risks AI presents to governments – and what can be done collectively to use AI for good.\u201d<\/p>\n\n\n\n

This is good to hear. The rapid pace of development around AI shows no sign of easing. And I get the sense that many people are running just to keep up.<\/p>\n\n\n\n

Take regulation, for example. Yes, AI is exciting, and developments are happening at a fast pace. In that regard, I\u2019m pro-innovation – but not at all costs.<\/p>\n\n\n\n

That\u2019s why I\u2019m also a huge advocate for regulating AI. Not at some indeterminable point in the future, but now. Why? Because from where I\u2019m standing, I believe we\u2019ve reached a level where if we don\u2019t, things could get dangerous.<\/p>\n\n\n\n

At some point, humanity needs to get a grip on AI in all its iterations to ensure the positive effects it could have are realised.<\/p>\n\n\n\n

Regulation and greater knowledge are essential to make AI work<\/strong><\/p>\n\n\n\n

After all, \u2018AI for good\u2019 – as highlighted by the GDS team – could have plenty of positive outcomes. It could ease the burden on IT teams, for example, by automating routine tasks like password resets and network troubleshooting. Not only would this be timesaving, but it would also liberate employees to concentrate on high-value tasks.<\/p>\n\n\n\n

AI used in this way is like having an extra set of hands, but ones that never tire or falter in their accuracy.<\/p>\n\n\n\n

But, we must also accept that not all types of AI technology are equal.<\/p>\n\n\n\n

When you train AI, for example, it\u2019s like teaching a child \u2013 you\u2019re giving it your view of the world. This is why we need people from different backgrounds to train and prepare AI to get a better understanding of our diversity across the world.<\/p>\n\n\n\n

I\u2019m sure those working on GOV.UK Chat are finding out about these issues – and many more besides – for themselves. It\u2019s one of the reasons why their work on GOV.UK Chat is so important.<\/p>\n\n\n\n

All the lessons learned will help expand our knowledge of how best to implement this technology. This will be particularly important if it\u2019s to address some of the fearmongering around jobs and other issues.<\/p>\n\n\n\n

After all, if we\u2019re to make any headway, the general population needs to understand the benefits of AI, understand the privacy concerns, and understand what it means for their daily lives.<\/p>\n","protected":false},"excerpt":{"rendered":"\n

By Sascha Giese, Tech Evangelist, SolarWinds<\/p>\n

The Government Digital Service (GDS) – part of the Cabinet Office responsible for digital transformation in the UK – is exploring how generative artificial intelligence (AI) could improve the user experience of the government\u2019s website.<\/p>\n

Public sector IT experts are using generative large language models (LLMs) – the <\/p>\n

Continue reading Government learning lessons about AI from GOV.UK Chat experiment<\/a><\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":""},"categories":[1312,1],"tags":[3773,153,2617,3960,25,3961,417,264,738,310,416,422,1152],"class_list":["post-8041","post","type-post","status-publish","format-standard","hentry","category-central-government","category-it-it-security","tag-ai-2","tag-cabinet-office","tag-chatbots","tag-gov-uk","tag-government-public-sector-journal","tag-government-digital-service-gds","tag-government-journal","tag-gpsj-magazine","tag-it-security","tag-public-sector","tag-public-sector-journal","tag-public-sector-magazine","tag-solarwinds","odd"],"yoast_head":"\nGovernment learning lessons about AI from GOV.UK Chat experiment - Government & Public Sector Journal<\/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:\/\/www.gpsj.co.uk\/?p=8041\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Government learning lessons about AI from GOV.UK Chat experiment - Government & Public Sector Journal\" \/>\n<meta property=\"og:description\" content=\"By Sascha Giese, Tech Evangelist, SolarWinds The Government Digital Service (GDS) – part of the Cabinet Office responsible for digital transformation in the UK – is exploring how generative artificial intelligence (AI) could improve the user experience of the government\u2019s website. 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