{"id":37634,"date":"2025-11-13T11:20:09","date_gmt":"2025-11-13T11:20:09","guid":{"rendered":"https:\/\/blogs.qub.ac.uk\/digitallearning\/?p=37634"},"modified":"2025-11-13T11:23:44","modified_gmt":"2025-11-13T11:23:44","slug":"what-is-ai-literacy-and-why-should-i-even-care-about-it","status":"publish","type":"post","link":"https:\/\/blogs.qub.ac.uk\/digitallearning\/blog\/what-is-ai-literacy-and-why-should-i-even-care-about-it\/","title":{"rendered":"What Is AI Literacy, and Why Should I Even Care About It?"},"content":{"rendered":"\t\t
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Guest post by:<\/h2>\t\t<\/div>\n\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Phil leads the University\u2019s E-Learning Team and is responsible for supporting and developing the use of technology in learning and teaching at the University of Kent. <\/p>\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t

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\r\n\t\t\t\t\t\t\t\t\t\r\n\t\t\t\t\t\t\t\t\t\tPhil Anthony\t\t\t\t\t\t\t\t\t<\/span>\r\n\t\t\t\t\t\t\t\t<\/h3>\r\n\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t

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AI literacy is one of those phrases we hear everywhere in higher education. Students are told to develop it, staff are encouraged to model it, and whole strategies are being written around it. But what does it actually mean,\u00a0 and why should it matter to you?<\/p>

Across universities, we ask people to read AI guidance, attend workshops, or complete short courses designed to develop their AI literacy. These are valuable resources, but are we missing the most important step? Before we can expect people to engage with training, we need to give them a reason to care.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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What AI Literacy Means to Me<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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When I talk about AI literacy, I\u2019m not talking about becoming an expert in the technology behind it. You don\u2019t need to know how to build an AI system to use one well. For me, AI literacy is about three things: awareness, judgement, and confidence.<\/p>

Awareness<\/strong>\u00a0is about understanding how AI tools actually work in practice, what they\u2019re good at, where they\u2019re unreliable, and why they sometimes produce convincing but inaccurate results.<\/p>

Judgement<\/strong>\u00a0is about deciding how and when to use AI: asking the right questions, checking the answers carefully, and knowing when it\u2019s better not to use the tool at all.<\/p>

Confidence<\/strong>\u00a0comes from building those first two, so that you can use AI in ways that are purposeful, safe, and genuinely useful.<\/p>

In other words, AI literacy, at least as I see it, is about navigating this new landscape with critical confidence.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Why It Matters<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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AI literacy applies to everyone in higher education, but for different reasons.<\/p>

For students<\/strong>, the link is direct: employability. Most graduates will enter workplaces where AI is already part of everyday practice. Employers will expect them to use AI tools confidently, responsibly, and in ways that add value, without exposing the organisation to risk. AI literacy is what makes the difference between using AI to cut corners and using it to contribute effectively in a professional environment.<\/p>

For staff<\/strong>, the case is just as important. Teaching and assessment must stay relevant to the world students are preparing for. If staff don\u2019t understand how AI tools behave in practice, they risk creating tasks that feel outdated or easily undermined. Staff also have a responsibility to model safe and ethical use, and to guide students in developing the judgement they will need beyond university. Without AI literacy, it\u2019s impossible to set fair expectations or support students in building their own skills.<\/p>

In short:<\/p>

Students<\/strong>\u00a0need AI literacy to be employable and trustworthy in the workplace.<\/p>

Staff<\/strong>\u00a0need AI literacy to keep higher education meaningful and responsible in an AI-rich world.<\/p>

This isn\u2019t just a personal concern. In our most recent Digitally Enhanced Education Webinar,\u00a0Rethinking Our Guidance on AI: What\u2019s Working, What Isn\u2019t?<\/em><\/a><\/strong>, more than 1,000 colleagues from across the sector joined the discussion. That level of engagement shows how widely these questions are being asked. Institutions everywhere are trying to work out not only what guidance to give, but how to make sure people have a real reason to follow it.<\/p>

And this debate isn\u2019t happening in isolation. The UK government has recently\u00a0announced billions of pounds of investment in AI infrastructure<\/a><\/strong>, research, and growth zones, with the aim of creating thousands of jobs and attracting major international partners. That level of national commitment underlines the point: AI is not a passing trend. It will shape the workplace our graduates step into and the environment our universities operate within. Developing AI literacy is about making sure staff and students are ready for that future.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Making the Case for AI Literacy<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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If we want students and staff to engage with the guidance and resources we provide, we have to make the \u201cwhy\u201d impossible to ignore. A few ways institutions can do this:<\/p>