Artificial Intelligence in Everyday Teen Life: Why Ethics Is Not Just for Adults

At 7:17 a.m. on a typical Tuesday, 16-year-old Mia wakes up to the sound of her phone buzzing with a TikTok notification. The 30-second video that pops up is a clip of an indie band she discovered the night before, recommended by an algorithm that tracked her 12-second pause on a similar song in her “For You Page” feed. She scrolls for 20 minutes before school, skipping two videos about extreme dieting that the algorithm pushed to her after she accidentally liked a post about a friend’s soccer game, then logs into her algebra class’s AI-powered tutoring platform, which gives her instant feedback on the quadratic equation problems she missed last week. After school, she logs into *Fortnite*, where an AI non-player character (NPC) named “Juno” greets her by name, remembers that she collected three rare skins last month, and challenges her to a build battle. Before bed, she opens Wysa, an AI-powered mental health chatbot, to talk about the stress of her upcoming SATs, typing out worries she has not told her parents or friends. By the end of the day, Mia has interacted with more than a dozen distinct artificial intelligence (AI) systems, none of which she chose to install deliberately, and few of which she has ever stopped to question.

Mia’s experience is not an outlier. A 2024 Pew Research Center study found that 95% of U.S. teens aged 13–17 use at least one AI-powered application daily, with the average teen interacting with 17 separate AI systems across social media, gaming, learning tools, and even mundane utilities like phone predictive text. For the first generation of “AI natives” – people who have grown up surrounded by AI as a normal, unremarkable part of daily life – these systems feel as ordinary as running water or electricity. But this ordinariness comes with a hidden cost: most teens have never been taught how these systems work, what ethical choices their designers made, or how to push back when those choices harm them. This gap is not trivial. The same Pew study found that 62% of teens have encountered harmful content recommended to them by an AI algorithm, 41% have had their personal data collected by an AI system without their knowledge, and 28% have experienced unfair treatment (such as lower grades or biased content moderation) caused by an AI system. Yet 78% of teens say they have never had a conversation with an adult about AI ethics.

This chapter will close that gap. We will start by mapping the pervasive presence of AI in your daily life, then define the core concepts of AI, ethics, and AI ethics, and dismantle the pervasive myth that ethical analysis of technology is only relevant for engineers and policymakers. We will use a 2023 case study of a social media platform’s algorithm promoting self-harm content to vulnerable teen users to illustrate the real, life-or-death stakes of unregulated AI. We will then introduce the book’s three core thematic pillars – algorithmic bias, lethal autonomous weapons, and privacy – and outline the structure of the remaining 14 chapters. By the end of this chapter, you will be able to identify every AI system you interact with in a typical week, and you will have the tools to start questioning how those systems work, who they benefit, and who they harm.

What Even Is AI? (And Why It’s Not the Robot from *The Terminator*)

Before we talk about AI ethics, we need to align on what we mean when we say “AI.” Popular culture has spent decades framing AI as a sentient, humanoid robot bent on world domination – a trope popularized by films like *The Terminator*, *The Matrix*, and *Ex Machina*. This fictional version of AI is called Artificial Superintelligence (ASI): a hypothetical system that is smarter than every human being who has ever lived, capable of independent thought, emotion, and action. ASI does not exist. It may never exist. Most AI researchers estimate that we are at least 30 to 50 years away from developing even the most basic version of ASI, if it is possible at all.

The AI systems you interact with every day are a far more mundane (and far more impactful) category of technology called Narrow AI (ANI), or “weak AI.” Narrow AI is designed to perform one specific task, and only that task, often better than a human can. TikTok’s recommendation algorithm is a Narrow AI: it can predict what video you will want to watch next with uncanny accuracy, but it cannot hold a conversation about your favorite band, or bake a cake, or write a love letter to your crush (though it can *help* you write one, if you ask). The AI NPCs in *Fortnite* are Narrow AI: they can remember your past gameplay and challenge you to a battle, but they cannot decide to quit the game and start a career as a professional athlete. The AI that grades your essays is a Narrow AI: it can check for grammar errors and score your argument structure, but it cannot understand the personal story you wrote about your grandmother’s immigration journey, or give you advice on how to improve your writing voice.

To formalize this for future reference: > Definition 1.1 (Artificial Intelligence): A branch of computer science focused on building systems that can perform tasks typically requiring human intelligence, such as recognizing patterns, making predictions, generating text, or navigating physical spaces. Narrow AI (ANI) refers to systems designed for a single specific task; Artificial General Intelligence (AGI) refers to a hypothetical system that can perform any intellectual task a human can; Artificial Superintelligence (ASI) refers to a hypothetical system smarter than all humans combined. All AI systems in widespread use as of 2024 are Narrow AI.

This distinction matters because it eliminates the most common source of unproductive fear around AI: the idea that AI is going to “take over” or “become sentient and harm us.” The AI systems you interact with have no consciousness, no desires, no ability to act outside the rules their human designers gave them. When an AI system does something harmful – like recommending self-harm content to a vulnerable teen – it is not because the AI “chose” to do harm. It is because the humans who designed the AI chose to prioritize a goal (such as maximizing user engagement to sell more ads) over the well-being of the people using the AI.

This is the foundational insight of AI ethics: AI is not a neutral tool. It is a reflection of the values, priorities, and biases of the people who build it, and the people who use it. When you scroll TikTok, like a post, or report a piece of harmful content, you are not just a passive consumer of AI – you are actively shaping how the AI behaves, for better or for worse.

What Is Ethics, Anyway? (And Why It’s Not Just About “Being Good”)

Many of you have been taught that “ethics” is a set of rules about what you should and should not do: don’t cheat on a test, don’t lie to your friends, don’t steal. This is a limited, and ultimately unhelpful, framing of ethics for understanding AI. Ethics is not a list of do’s and