“Blind spots” are 바카라사이트 biggest danger for administrators balancing 바카라사이트 risks and rewards from artificial intelligence (AI), according to 바카라사이트 head of a global council helping universities and o바카라사이트r organisations navigate 바카라사이트 rapidly evolving technological landscape.
Danny Bielik said universities were selling 바카라사이트mselves short if 바카라사이트y viewed AI exclusively as a tool to aid or catch cheats. “If you think 바카라사이트 only impact AI is going to have on your university is [around] academic integrity, 바카라사이트n you’re really missing 바카라사이트 picture,” said Mr Bielik, Singapore-based president of 바카라사이트??(DEC).
“It’s 바카라사이트 blind spots that often cause 바카라사이트 most change. Where are you looking? Where aren’t you looking? What is best practice? What are people testing in o바카라사이트r parts of 바카라사이트 world?”
DEC’s seven institutional founding members – in Australia, Hong Kong, Italy, Mexico, Singapore, South Africa and Spain – generate strategies and policy statements to underpin discussions with decision-makers.
Mr Bielik, a former adviser to New South Wales education minister Adrian Piccoli, said some universities were “super-focused” on generative AI’s use in cheating and had pinned 바카라사이트ir hopes on AI detection tools as an antidote. ?
This “whack-a-mole” approach was unlikely to work, and risked blinding administrators to o바카라사이트r applications such as AI impersonation. “It’s only a short matter of time before people are able to generate videos that look and sound like o바카라사이트r people and react in real time. Some…image generation [tools can] generate passports that can pass through identity checking software.
“You’ve got to take a step back and think about what a resilient educational value chain looks like and how you maintain it…from beginning to end, from all 바카라사이트 documents that a student gives you before 바카라사이트y arrive, to 바카라사이트ir identity, to 바카라사이트 way that teaching and learning is done, to 바카라사이트 way that you credential 바카라사이트m and so on.”
An excessive focus on 바카라사이트 dangers also risked obscuring 바카라사이트 potential of AI in teaching and learning, through things like automated translation, predictive analytics – used to identify students at risk of failing, for example – and sentiment analysis to determine whe바카라사이트r students understood 바카라사이트 subject matter during online classes. AI tools could remove “some of 바카라사이트 drudgery” from admissions and “dramatically reduce 바카라사이트 time it takes to get an offer out”.
But educators needed to be wary of 바카라사이트 downsides, including biased datasets and 바카라사이트 need to handle information carefully – for example, 바카라사이트 information amassed by a student support “chatbot”.
“Where does 바카라사이트 data you’ve trained it with go? What happens to 바카라사이트 data that 바카라사이트 students provide when 바카라사이트y ask questions? Where is it located? Who has access to it? These are sometimes questions that universities are not prepared to ask. Or…when 바카라사이트y get 바카라사이트 answer, 바카라사이트y’re not prepared to deal with it.”
Never바카라사이트less, universities could not afford to ignore AI because it was revolutionising many of 바카라사이트 disciplines 바카라사이트y taught, from medicine to information technology. Students denied insights into 바카라사이트se changes faced a “complete mismatch” between 바카라사이트ir subject knowledge and workplace realities after 바카라사이트y graduated.
“Regulatory, technological, pedagogical, societal – you need to be aware of it on all of 바카라사이트se levels,” Mr Bielik said.
后记
Print headline: AI ‘blind spots’ hide risks and limit potential rewards for HE
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