In a world filled with more content than we could ever possibly consume, recommendation algorithms have long been a necessary part of the internet. This type of AI helps determine what we see (and don't see) online. But while that can be helpful, these algorithms can have unintended consequences, like creating filter bubbles, perpetuating bias, and undermining our creativity, choices, and opportunities. Use this lesson to help your students think critically about how AI is shaping their experiences online in both helpful and harmful ways.

Recent advancements in artificial intelligence are making chatbot technology more helpful (and clever), while at the same time, it's becoming harder to tell if we're talking to a person or a robot. In this lesson, students will explore how and why AI chatbots are designed to sound so human-like, which will help them think critically about why this can be both helpful and harmful.

Over time, technology has influenced how we build and maintain friendships. And with recent developments in AI technology, we now have generative AI chatbots that can conduct what feels like a very real conversation. While this can be entertaining and helpful, it can also cause people to develop emotional connections with chatbots. But is this OK? In this lesson, students will grapple with this question, reflecting upon what makes human friendships special and unique.

The number of artificial intelligence (AI) tools has grown significantly over the past few years. Some of the most popular tools are capable of creating seemingly original content, like images or text. Help students consider the ethical dilemmas of using AI to create content, and help them identify the appropriate use of these tools in a school setting.

Facial recognition is one of the many applications of AI technology. Like other technologies, facial recognition offers both opportunities to improve our lives and potential risks. Use this dilemma and thinking routine to help students consider the benefits and drawbacks of facial recognition.

Just like people, artificial intelligence tools can make mistakes. That could mean simply mistaking tomatoes for apples. But the impacts of AI bias can often be much more serious. AI tools can end up recirculating harmful stereotypes and inequities within society. In this lesson, students will think critically about AI bias and how it affects the world.

Artificial intelligence is often trained on data we share online. Help students become more critical and responsible users of this technology by gaining a deeper understanding of how AI uses data to learn and create.

It can be tough for teachers to prepare students for the jobs of the future. Who knows what lies ahead 10 or 20 years? Whatever the future holds, it's likely that artificial intelligence (AI), machine learning, and language models like ChatGPT or Bard will be a big part of it. Thankfully, we've uncovered a great set of classroom resources for teaching students about the tech behind AI. These resources, which we've curated below, unpack how AI can be used and its current and future economic, cultural, and social impacts. Thankfully, most are free and have ready-to-use lessons and activities. Several also feature games or interactive features that help students build and tinker with their own AI- or machine learning-driven tools.

Artificial intelligence is trained on real-world data that people have given it, and if that data contains biases (or is incomplete), the AI can end up being biased, too. In this lesson, students will think critically about the training data that informs what AI tools can do, and consider possible ways to reduce AI bias.

Artificial intelligence technology is evolving quickly. Use this short lesson to help students get acquainted with how AI works and consider some of its potential benefits and drawbacks.