“These tools will not be representative of everybody—what they tell us is predicated on what they’ve been trained on. Not everybody is on the web, so that they won’t be reflected,” says Victor Lee, an associate professor at Stanford Graduate School of Education who has created free AI resources for prime school curriculums. “Students should pause and reflect before we click, share, or repost and be more critical of what we’re seeing and believing, because a whole lot of it could possibly be fake.”

While it could be tempting to depend on chatbots to reply queries, they’re not a substitute for Google or other serps,  says David Smith, a professor of bioscience education at Sheffield Hallam University within the UK, who’s been preparing to assist his students navigate the uses of AI in their very own learning. Students shouldn’t accept every thing large language models say as an undisputed fact, he says, adding: “Whatever answer it gives you, you’re going to have to envision it.”

3. Teachers might accuse you of using an AI once you have not

One among the most important challenges for teachers now that generative AI has reached the masses is understanding when students have used AI to write down their assignments. While loads of firms have launched products that promise to detect whether text has been written by a human or a machine, the issue is that AI text detection tools are pretty unreliable, and it’s very easy to trick them. There have been many examples of cases where teachers assume an essay has been generated by AI when it actually hasn’t.

Familiarizing yourself along with your child’s school’s AI policies or AI disclosure processes (if any) and reminding your child of the importance of abiding by them is a crucial step, says Lee. In case your child has been wrongly accused of using AI in an project, remember to remain calm, says Crompton. Don’t be afraid to challenge the choice and ask the way it was made, and be happy to point to the record ChatGPT keeps of a person user’s conversations if you’ll want to prove your child didn’t lift material directly, she adds.

4. Recommender systems are designed to get you hooked and might show you bad stuff 

It’s vital to grasp and explain to kids how advice algorithms work, says Teemu Roos, a pc science professor on the University of Helsinki, who’s developing a curriculum on AI for Finnish schools. Tech firms become profitable when people watch ads on their platforms. That’s why they’ve developed powerful AI algorithms that recommend content, resembling videos on YouTube or TikTok, so that folks will get hooked and to remain on the platform for so long as possible. The algorithms track and closely measure what sorts of videos people watch, after which recommend similar videos. The more cat videos you watch, for instance, the more likely the algorithm is to think it would be best to see more cat videos. 

These services tend to guide users to harmful content like misinformation, Roos adds. It is because people are inclined to linger on content that’s weird or shocking, resembling misinformation about health, or extreme political ideologies. It’s very easy to get sent down a rabbit hole or stuck in a loop, so it’s idea to not consider every thing you see online. You need to double-check information from other reliable sources too.