{"id":72130,"date":"2024-03-20T01:09:22","date_gmt":"2024-03-20T05:09:22","guid":{"rendered":"https:\/\/world.edu\/?p=72130"},"modified":"2024-03-20T01:09:22","modified_gmt":"2024-03-20T05:09:22","slug":"the-digital-divide-is-already-hurting-peoples-quality-of-life-will-ai-make-it-better-or-worse","status":"publish","type":"post","link":"https:\/\/world.edu\/the-digital-divide-is-already-hurting-peoples-quality-of-life-will-ai-make-it-better-or-worse\/","title":{"rendered":"The \u2018digital divide\u2019 is already hurting people\u2019s quality of life. Will AI make it better or worse?"},"content":{"rendered":"

\"\"<\/p>\n

Today,\u00a0almost a quarter of Australians<\/a>\u00a0are digitally excluded. This means they miss out on the social, educational and economic benefits\u00a0online connectivity provides<\/a>.<\/p>\n

In the face of this ongoing \u201cdigital divide\u201d, countries are now talking about a future of inclusive artificial intelligence (AI).<\/p>\n

However, if we don\u2019t learn from current problems with digital exclusion, it will likely spill over into people\u2019s future experiences with AI. That\u2019s the conclusion from our\u00a0new research<\/a>\u00a0published in the journal AI and Ethics.<\/p>\n

What is the digital divide?<\/strong><\/h4>\n

The digital divide is a\u00a0well-documented social schism<\/a>. People on the wrong side of it face difficulties when it comes to accessing, affording, or using digital services. These disadvantages significantly reduce their quality of life.<\/p>\n

Decades of research<\/a>\u00a0have provided us with a rich understanding of who is most at risk. In Australia, older people, those living in remote areas, people on lower incomes and First Nations peoples are most likely to find themselves digitally excluded.<\/p>\n

Zooming out,\u00a0reports<\/a>\u00a0show that one-third of the world\u2019s population \u2013 representing the poorest countries \u2013 remains offline. Globally, the\u00a0digital gender divide<\/a>\u00a0also still exists: women, particularly in low and middle-income countries, face substantially more barriers to digital connectivity.<\/p>\n

During the COVID pandemic, the impacts of digital inequity became much more obvious. As large swathes of the world\u2019s population had to \u201cshelter in place\u201d \u2013 unable to go outside, visit shops, or seek face-to-face contact \u2013 anyone without digital access was severely at risk.<\/p>\n

Consequences ranged from social isolation to reduced employment opportunities, as well as a lack of access to vital health information.\u00a0The UN Secretary-General stated in 2020<\/a>\u00a0that \u201cthe digital divide is now a matter of life and death\u201d.<\/p>\n

Not just a question of access<\/strong><\/h4>\n

As with most forms of exclusion, the digital divide functions in multiple ways. It was originally defined as a gap between those who have access to computers and the internet and those who do not. But research now shows it\u2019s\u00a0not just an issue of access<\/a>.<\/p>\n

Having little or no access leads to reduced familiarity with digital technology, which then erodes confidence,\u00a0fuels disengagement<\/a>, and ultimately sets in motion\u00a0an intrinsic sense of not being \u201cdigitally capable<\/a>\u201d.<\/p>\n

As AI tools increasingly reshape our workplaces, classrooms and everyday lives, there is a risk AI could deepen, rather than narrow, the digital divide.<\/p>\n

The role of digital confidence<\/strong><\/h4>\n

To assess the impact of digital exclusion on people\u2019s experiences with AI, in late 2023 we surveyed a representative selection of hundreds of Australian adults. We began by asking them to rate their confidence with digital technology.<\/p>\n

We found digital confidence was lower for women, older people, those with reduced salaries, and those with less digital access.<\/p>\n

We then asked these same people to comment on their hopes, fears and expectations of AI. Across the board, the data showed that people\u2019s perceptions, attitudes and experiences with AI were linked to how they felt about digital technology in general.<\/p>\n

In other words, the more digitally confident people felt, the more positive they were about AI.<\/p>\n

To build truly inclusive AI, these findings are important to consider for several reasons. First, they confirm that digital confidence is not a privilege shared by all.<\/p>\n

Second, they show us digital inclusion is about more than just access, or even someone\u2019s digital skills. How confident a person feels in their ability to interact with technology is important too.<\/p>\n

Third, they show that if we don\u2019t contend with existing forms of digital exclusion, they are likely to spill over into perceptions, attitudes and experiences with AI.<\/p>\n

Currently,\u00a0many countries are making headway<\/a>\u00a0in their efforts to reduce the digital divide. So we must make sure the rise of AI doesn\u2019t slow these efforts, or worse still, exacerbate the divide.<\/p>\n

What should we hope for AI?<\/strong><\/h4>\n

While there\u00a0is a slew of associated risks<\/a>, when deployed responsibly, AI can make significant positive impacts on society. Some of these can directly target issues of inclusivity.<\/p>\n

For example, computer vision can\u00a0track the trajectory of a tennis ball<\/a>\u00a0during a match, making it audible for blind or low-vision spectators.<\/p>\n

AI has been used to analyse\u00a0online job postings<\/a>\u00a0to help boost employment outcomes in under-represented populations such as First Nations peoples. And, while they\u2019re still in the early stages of development,\u00a0AI-powered chatbots<\/a>\u00a0could increase accessibility and affordability of medical services.<\/p>\n

But this responsible AI future can only be delivered if we also address what keeps us digitally divided. To develop and use truly inclusive AI tools, we first have to ensure the feelings of digital exclusion don\u2019t spill over.<\/p>\n

This means not only tackling pragmatic issues of access and infrastructure, but also the knock-on effects on people\u2019s levels of engagement, aptitude and confidence with technology.<\/p>\n

Author Bio:<\/strong> Sarah Vivienne Bentley is a Research Scientist, Responsible Innovation and Claire Naughtin is a Principal Research Consultant in Strategic Foresight both at Data61, CSIRO<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

Today,\u00a0almost a quarter of Australians\u00a0are digitally excluded. This means they miss out on the social, educational and economic benefits\u00a0online connectivity provides. In the face of this ongoing \u201cdigital divide\u201d, countries are now talking about a future of inclusive artificial intelligence (AI). However, if we don\u2019t learn from current problems with digital exclusion, it will likely […]\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":[434804],"tags":[357466],"coauthors":[11733],"class_list":["post-72130","post","type-post","status-publish","format-standard","hentry","category-artificial-intelligence","tag-digital-divide"],"acf":[],"yoast_head":"\nThe \u2018digital divide\u2019 is already hurting people\u2019s quality of life. 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