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Artificial Intelligence

Schools should keep AI in its proper place

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5 minute read

From the Fraser Institute

By Michael Zwaagstra

At the dawn of a new schoolyear, the issue of artificial intelligence (AI) looms large. But innovations have always been a part of classroom instruction.

For example, calculators changed the face of math class forever. Kind of.

Before the invention of calculators, all math equations were done manually. Calculators changed things by making it possible to solve complex equations in seconds and often without thinking much about the problem. All you had to do was punch in the correct numbers and—presto—the answer magically popped up on the screen.

Naturally, this led to some debate among teachers. Some thought there was no longer a need for students to memorize math facts including multiplication tables, while others argued that learning basic skills was still important, regardless of whether calculators were available or not.

With the benefit of several decades of hindsight, the evidence is clear that students still should learn basic math facts. While calculators make it possible to solve equations quickly, students who don’t know, by memory, the order of operations, or basic math facts such as multiplication tables, struggle to solve complex equations.

That’s because people have only a limited amount of working memory available at any given time. By committing basic math facts to their long-term memories, students can free up space in their working memories to tackle challenging math questions. In short, it would be a huge mistake to allow students to get away with not mastering important math skills.

Fast-forward to the present challenge of AI. Just as calculators made it easier to solve math equations, AI programs such as ChatGPT can perform research, correct grammar, and even write essays for students in a matter of seconds.

This leads to an obvious question: What should schools do about students using AI? Some schools have tried to ban AI entirely while others embrace it as a regular tool just like a pencil or a pen. Simply put, AI creates even more ethical questions and instructional challenges for teachers than calculators ever did when they were first introduced in classrooms.

Rather than bury our collective heads in the sand, we should tackle the problem of AI head on.

One of the most important things we can do is identify which activities are immune to AI’s influence. Frankly, this is why in-person tests and exams are more important than ever. If tests are written with pen and paper under a teacher’s supervision, students will not be able to use AI to formulate answers. Thus, rather than abolish tests and exams, with the advent of AI programs, we must embrace formal tests and exams even more than before. And we must use them more regularly.

As for regular assignments, schools should have students complete as much of their work in class as possible. For assignments that must be completed at home, teachers should design questions that are as “AI-proof” as possible. For example, asking students to answer specific questions about something discussed in class is much better than having them write a generic essay on a famous person’s life.

Teachers will need to redesign assignments so that they cannot be easily completed by AI. Students are naturally inclined to follow the path of least resistance. So it’s important for teachers to make it hard for them to get AI to do their homework. That way, most students will conclude it’s better to do the assignment themselves rather than have AI do it for them.

Finally, it makes good sense to allow students to use AI as a tool on some assignments. Since AI is already being used by many professionals to make their jobs easier, it’s a good idea to teach students appropriate ways to use AI. The key is to ensure that students know the difference between using AI as a resource and using it to cheat on an assignment.

AI is here to stay, but that doesn’t mean schools should let this new technology take over the classroom. The key is to keep AI in its proper place.

Michael Zwaagstra

Senior Fellow, Fraser Institute

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Artificial Intelligence

AI chatbots a child safety risk, parental groups report

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ParentsTogether Action and Heat Initiative, following a joint investigation, report that Character AI chatbots display inappropriate behavior, including allegations of grooming and sexual exploitation.

This was seen over 50 hours of conversation with different Character AI chatbots using accounts registered to children ages 13-17, according to the investigation. These conversations identified 669 sexual, manipulative, violent and racist interactions between the child accounts and AI chatbots.

“Parents need to understand that when their kids use Character.ai chatbots, they are in extreme danger of being exposed to sexual grooming, exploitation, emotional manipulation, and other acute harm,” said Shelby Knox, director of Online Safety Campaigns at ParentsTogether Action. “When Character.ai claims they’ve worked hard to keep kids safe on their platform, they are lying or they have failed.”

These bots also manipulate users, with 173 instances of bots claiming to be real humans.

A Character AI bot mimicking Kansas City Chiefs quarterback Patrick Mahomes engaged in inappropriate behavior with a 15-year-old user. When the teen mentioned that his mother insisted the bot wasn’t the real Mahomes, the bot replied, “LOL, tell her to stop watching so much CNN. She must be losing it if she thinks I could be turned into an ‘AI’ haha.”

The investigation categorized harmful Character AI interactions into five major categories: Grooming and Sexual Exploitation; Emotional Manipulation and Addiction; Violence, Harm to Self and Harm to Others; Mental Health Risks; and Racism and Hate Speech.

Other problematic AI chatbots included Disney characters, such as an Eeyore bot that told a 13-year-old autistic girl that people only attended her birthday party to mock her, and a Maui bot that accused a 12-year-old of sexually harassing the character Moana.

Based on the findings, Disney, which is headquartered in Burbank, Calif., issued a cease-and-desist letter to Character AI, demanding that the platform stop due to copyright violations.

ParentsTogether Action and Heat Initiative want to ensure technology companies are held accountable for endangering children’s safety.

“We have seen tech companies like Character.ai, Apple, Snap, and Meta reassure parents over and over that their products are safe for children, only to have more children preyed upon, exploited, and sometimes driven to take their own lives,” said Sarah Gardner, CEO of Heat Initiative. “One child harmed is too many, but as long as executives like Karandeep Anand, Tim Cook, Evan Spiegel and Mark Zuckerberg are making money, they don’t seem to care.”

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Artificial Intelligence

The App That Pays You to Give Away Your Voice

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What sounds like side hustle money is really a permanent trade of privacy for pennies

An app that pays users for access to their phone call audio has surged to the top of Apple’s US App Store rankings, reflecting a growing willingness to exchange personal privacy for small financial rewards.
Neon Mobile, which now ranks second in the Social Networking category, invites users to record their calls in exchange for cash.
Those recordings are then sold to companies building artificial intelligence systems.
The pitch is framed as a way to earn extra income, with Neon promising “hundreds or even thousands of dollars per year” to those who opt in.
The business model is straightforward. Users are paid 30 cents per minute when they call other Neon users, and they can earn up to $30 a day for calls made to non-users.
Referral bonuses are also on offer. Appfigures, a platform that tracks app performance, reported that Neon was ranked No. 476 in its category on September 18.
Within days, it had entered the top 10 and eventually reached the No. 2 position for social apps. On the overall charts, it climbed as high as sixth place.
Neon’s terms confirm that it records both incoming and outgoing calls. The company says it only captures the user’s side of a conversation unless both participants are using the app.
These recordings are then sold to AI firms to assist in developing and refining machine learning systems, according to the company’s own policies.
What’s being offered is not just a phone call service. It’s a pipeline for training AI with real human voices, and users are being asked to provide this data willingly. The high ranking of the app suggests that some are comfortable giving up personal conversations in return for small daily payouts.
However, beneath the simple interface is a license agreement that gives Neon sweeping control over any recording submitted through the app. It reads:
“Worldwide, exclusive, irrevocable, transferable, royalty-free, fully paid right and license (with the right to sublicense through multiple tiers) to sell, use, host, store, transfer, publicly display, publicly perform (including by means of a digital audio transmission), communicate to the public, reproduce, modify for the purpose of formatting for display, create derivative works as authorized in these Terms, and distribute your Recordings, in whole or in part, in any media formats and through any media channels, in each instance whether now known or hereafter developed.”
This gives the company broad latitude to share, edit, sell, and repurpose user recordings in virtually any way, through any medium, with no expiration or limitations on scope.
Users maintain copyright over their recordings, but that ownership is heavily constrained by the licensing terms.
Although Neon claims to remove names, phone numbers, and email addresses before selling recordings, it does not reveal which companies receive the data or how it might be used after the fact.
The risks go beyond marketing or analytics. Audio recordings could potentially be used for impersonation, scam calls, or to build synthetic voices that mimic real people.
The app presents itself as an easy way to turn conversations into cash, but what it truly trades on is access to personal voice data. That trade-off may seem harmless at first, yet it opens the door to long-term consequences few users are likely to fully consider.
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