Artificial intelligence is rampant in schools, but education professionals aren’t teaching students the importance of ethical utilization. The problem is that it’s a complex topic, and educators simply don’t have the time or resources to tackle it. Where do they get the relevant materials? How do they fit it into their existing lesson plans? Here’s how questions like these are holding AI ethics classes back — and what decision-makers are doing to fix the problem. The Importance of Teaching AI Ethics in School AI ethics is a set of principles that govern the development, deployment and utilization of algorithm-based tools. They are meant to guide stakeholders, minimizing the damage such technologies can do to the environment, society or the economy. On a smaller scale, they focus on preventing bias, discrimination, misinformation and abuse. Teaching AI ethics in school may seem unnecessary, but its importance cannot be overstated. AI has already become a staple in many industries. According to a McKinsey & Company report, 72% of organizations use it for at least one business function. If its upward trajectory continues, its impact could rival that of computers, smartphones or the internet. Avoiding talking about AI in the classroom because of its newness needlessly repeats history. It is the same as years ago when students were told they wouldn’t always have a calculator in their back pocket right after the smartphone was invented. This technology’s popularity is growing in both personal and professional domains. Students must be prepared to use it responsibly when entering the workforce to ensure better outcomes for their industry and society. AI is powerful. Advanced algorithms can analyze massive datasets exponentially faster than humans. They excel at pattern recognition, trend prediction and content creation. Whether educators like it or not, AI will likely change the world. If they prepare their students accordingly, they can ensure that change is positive. Ethical Dilemmas Students Face When Using AI Typical ethical risks students face when using AI include technology abuse, harassment and plagiarism. The latter is one of the most common. Thanks to generative tools, academic dishonesty is easy to get away with. Google Trends reveals that searches for “AI essay writing” increased by a staggering 2,041% after ChatGPT’s release. Unfortunately, plagiarism isn’t the most severe offense. Lately, university, high school and even middle school students have been caught using generative tools to take part in deepfake-related sex crimes. In South Korea, one journalist uncovered one such group that had over 2,000 members. Many victims were believed to be under 16 — under Korea’s age of consent. Even if kids aren’t using regular photos of their classmates to create explicit material, AI use still revolves around consent. This concept revisits data privacy and security principles — all data end users enter is no longer private. The platform or service provider may use it to train their model or enhance their marketing strategies. Many of today’s students view generative and machine learning models as entertaining, harmless tools — even when they are actively harming others. Teachers have a unique opportunity to educate them early on about the consequences of such actions, stopping unacceptable behavior like this at the source. Is Ethical AI Use Being Taught in Schools Today? School board standards, classroom policies and state laws vary dramatically, so AI adoption has been erratic at best. This split between those who embrace it and those who don’t has stalled standardization. However, some are still taking a chance on ethics courses. Elementary School While various academics and industry experts argue ethics discussions should start in elementary school, relatively few institutions even use algorithm-based tools that early. There are virtually no public resources available for grade school administrators. Middle and High School Many middle and high schools aren’t discussing the intricacies of ethical AI. Instead, they are cracking down on AI use. Studies show that the accuracy of AI detection tools is typically about 50%, so most instances slip by unnoticed. As a result, kids often learn bad habits. Promisingly, some decision-makers have seen the need for AI ethics. For instance, California Governor Gavin Newsom signed Bill No. 2876 into law in September 2024. When curriculum frameworks are revised in January 2025, schools must incorporate AI literacy content — which guides critical and ethical use — into the classroom. Not all educators receive playbooks from experts. Some, like Jeff Simon, a mathematics teacher at Sage Creek High School, are navigating this new field on their own. Simon said he is trying to “teach the ethical use” of AI since it is “just going to keep on growing.” College and University Most AI ethics classes are offered at higher education institutions because working those discussions into data science or computer engineering courses is easier. At the very least, many have developed policies for generative AI use. Reasons Why AI Ethics Isn’t Being Taught in School AI is not just present in education — it is thriving. For reference, in 2024, 86% of students admitted to using AI for schoolwork. Despite its popularity, many schools have no guiding principles on how to use these models ethically. Time is one of the main constraints — educators face the impossible task of doing more with less. They already spend 54 hours at work per week. How will they learn about AI and develop classroom policies that align with ethics in addition to teaching curriculum, grading papers and creating lesson plans? The field of AI is complex and rapidly evolving. Even with district-wide support, educational materials may quickly become outdated. Many schools still use decades-old textbooks to teach, so any solution would require extensive retrofitting. Moreover, how do they send home ethics homework? What would tests look like? How would they assign fair grades? Educators may be willing to embrace the concept of ethical AI classes if given the resources, but there’s no clear framework on how that could be done. Should they begin teaching it in elementary school? Will it replace a class, be offered as an elective or be integrated into the existing curriculum? There’s no one-size-fits-all solution. Many teachers have adopted “not in my classroom” policies in response to these concerns. As a result, students likely won’t learn how to use these tools the right way. Many will take whatever inaccurate, unregulated knowledge they cobble together from peers, parents and the internet as the truth — which may have far-reaching impacts. Addressing Concerns to Make AI Ethics Classes a Reality There are several ways education professionals can address why AI ethics isn’t being taught in schools. Place AI Ethics Wherever It Fits Integrating AI ethics into the classroom can mean creating a new elective or squeezing it in at the end of the period. Placing it where it naturally appears is best. For example, when students are assigned an eight-page essay, they can hear about responsible generative AI use. Teachers and administrators should adapt these new courses to students’ grade, technical expertise and knowledge levels to make the subject matter age-appropriate and engaging. Assignments should be relatively open-ended but follow a clear ethical framework. Tailor Subject Matter for End Users Typically, conversations about ethical AI focus on data privacy and output bias, centering around people who develop, deploy or manage these tools. End users interact with the user interface — not the backend — so their approach must differ slightly. Core principles should be accountability, value alignment, explainability, fairness and integrity. Pupils should learn critical thinking to combat bias, reasoning to prevent overreliance and objective analysis to mitigate the spread of misinformation. Model Responsible AI Use If state law or school board policies make teaching the ethics of AI in the classroom difficult, educators should take advantage of workarounds. Modeling responsible, honorable behavior goes a long way. Alternatively, they can invite a guest speaker. Facilitate In-Class Ethics Discussions Facilitating discussions, debates and group work in class lets high school teachers and college professors act as moderators. Posing questions about data de-identification, copyright infringement and summarization as they relate to AI can initiate productive conversations. Modern Lessons for a Modern Age Digitalization’s popularity is exponentially increasing. Soon, AI may be a part of every industry in the world. If educators modernize their lessons for this modern age, they can ensure today’s youth have a headstart once they reach the workforce. Artificial intelligence is rampant in schools, but education professionals aren’t teaching students the importance of ethical utilization. The problem is that it’s a complex topic, and educators simply don’t have the time or resources to tackle it. Artificial intelligence is rampant in schools, but education professionals aren’t teaching students the importance of ethical utilization. The problem is that it’s a complex topic, and educators simply don’t have the time or resources to tackle it. Where do they get the relevant materials? How do they fit it into their existing lesson plans? Here’s how questions like these are holding AI ethics classes back — and what decision-makers are doing to fix the problem. The Importance of Teaching AI Ethics in School AI ethics is a set of principles that govern the development, deployment and utilization of algorithm-based tools. They are meant to guide stakeholders, minimizing the damage such technologies can do to the environment, society or the economy. On a smaller scale, they focus on preventing bias, discrimination, misinformation and abuse. Teaching AI ethics in school may seem unnecessary, but its importance cannot be overstated. AI has already become a staple in many industries. According to a McKinsey & Company report, 72% of organizations use it for at least one business function. If its upward trajectory continues, its impact could rival that of computers, smartphones or the internet. 72% of organizations use it 72% of organizations use it Avoiding talking about AI in the classroom because of its newness needlessly repeats history. It is the same as years ago when students were told they wouldn’t always have a calculator in their back pocket right after the smartphone was invented. This technology’s popularity is growing in both personal and professional domains. Students must be prepared to use it responsibly when entering the workforce to ensure better outcomes for their industry and society. AI is powerful. Advanced algorithms can analyze massive datasets exponentially faster than humans. They excel at pattern recognition, trend prediction and content creation. Whether educators like it or not, AI will likely change the world. If they prepare their students accordingly, they can ensure that change is positive. Ethical Dilemmas Students Face When Using AI Typical ethical risks students face when using AI include technology abuse, harassment and plagiarism. The latter is one of the most common. Thanks to generative tools, academic dishonesty is easy to get away with. Google Trends reveals that searches for “AI essay writing” increased by a staggering 2,041% after ChatGPT’s release. increased by a staggering 2,041% increased by a staggering 2,041% Unfortunately, plagiarism isn’t the most severe offense. Lately, university, high school and even middle school students have been caught using generative tools to take part in deepfake-related sex crimes. In South Korea, one journalist uncovered one such group that had over 2,000 members. Many victims were believed to be under 16 — under Korea’s age of consent. uncovered one such group uncovered one such group Even if kids aren’t using regular photos of their classmates to create explicit material, AI use still revolves around consent. This concept revisits data privacy and security principles — all data end users enter is no longer private. The platform or service provider may use it to train their model or enhance their marketing strategies. Many of today’s students view generative and machine learning models as entertaining, harmless tools — even when they are actively harming others. Teachers have a unique opportunity to educate them early on about the consequences of such actions, stopping unacceptable behavior like this at the source. Is Ethical AI Use Being Taught in Schools Today? School board standards, classroom policies and state laws vary dramatically, so AI adoption has been erratic at best. This split between those who embrace it and those who don’t has stalled standardization. However, some are still taking a chance on ethics courses. Elementary School While various academics and industry experts argue ethics discussions should start in elementary school, relatively few institutions even use algorithm-based tools that early. There are virtually no public resources available for grade school administrators. Middle and High School Many middle and high schools aren’t discussing the intricacies of ethical AI. Instead, they are cracking down on AI use. Studies show that the accuracy of AI detection tools is typically about 50% , so most instances slip by unnoticed. As a result, kids often learn bad habits. is typically about 50% is typically about 50% Promisingly, some decision-makers have seen the need for AI ethics. For instance, California Governor Gavin Newsom signed Bill No. 2876 into law in September 2024. When curriculum frameworks are revised in January 2025, schools must incorporate AI literacy content — which guides critical and ethical use — into the classroom. signed Bill No. 2876 into law signed Bill No. 2876 into law Not all educators receive playbooks from experts. Some, like Jeff Simon, a mathematics teacher at Sage Creek High School, are navigating this new field on their own. Simon said he is trying to “teach the ethical use” of AI since it is “just going to keep on growing.” trying to “teach the ethical use” trying to “teach the ethical use” College and University Most AI ethics classes are offered at higher education institutions because working those discussions into data science or computer engineering courses is easier. At the very least, many have developed policies for generative AI use. Reasons Why AI Ethics Isn’t Being Taught in School AI is not just present in education — it is thriving. For reference, in 2024, 86% of students admitted to using AI for schoolwork. Despite its popularity, many schools have no guiding principles on how to use these models ethically. 86% of students admitted 86% of students admitted Time is one of the main constraints — educators face the impossible task of doing more with less. They already spend 54 hours at work per week. How will they learn about AI and develop classroom policies that align with ethics in addition to teaching curriculum, grading papers and creating lesson plans? spend 54 hours at work spend 54 hours at work The field of AI is complex and rapidly evolving. Even with district-wide support, educational materials may quickly become outdated. Many schools still use decades-old textbooks to teach, so any solution would require extensive retrofitting. Moreover, how do they send home ethics homework? What would tests look like? How would they assign fair grades? Educators may be willing to embrace the concept of ethical AI classes if given the resources, but there’s no clear framework on how that could be done. Should they begin teaching it in elementary school? Will it replace a class, be offered as an elective or be integrated into the existing curriculum? There’s no one-size-fits-all solution. Many teachers have adopted “not in my classroom” policies in response to these concerns. As a result, students likely won’t learn how to use these tools the right way. Many will take whatever inaccurate, unregulated knowledge they cobble together from peers, parents and the internet as the truth — which may have far-reaching impacts. Addressing Concerns to Make AI Ethics Classes a Reality There are several ways education professionals can address why AI ethics isn’t being taught in schools. Place AI Ethics Wherever It Fits Integrating AI ethics into the classroom can mean creating a new elective or squeezing it in at the end of the period. Placing it where it naturally appears is best. For example, when students are assigned an eight-page essay, they can hear about responsible generative AI use. Teachers and administrators should adapt these new courses to students’ grade, technical expertise and knowledge levels to make the subject matter age-appropriate and engaging. Assignments should be relatively open-ended but follow a clear ethical framework. Tailor Subject Matter for End Users Typically, conversations about ethical AI focus on data privacy and output bias, centering around people who develop, deploy or manage these tools. End users interact with the user interface — not the backend — so their approach must differ slightly. Core principles should be accountability, value alignment, explainability, fairness and integrity. Pupils should learn critical thinking to combat bias, reasoning to prevent overreliance and objective analysis to mitigate the spread of misinformation. Model Responsible AI Use If state law or school board policies make teaching the ethics of AI in the classroom difficult, educators should take advantage of workarounds. Modeling responsible, honorable behavior goes a long way. Alternatively, they can invite a guest speaker. Facilitate In-Class Ethics Discussions Facilitating discussions, debates and group work in class lets high school teachers and college professors act as moderators. Posing questions about data de-identification, copyright infringement and summarization as they relate to AI can initiate productive conversations. Modern Lessons for a Modern Age Digitalization’s popularity is exponentially increasing. Soon, AI may be a part of every industry in the world. If educators modernize their lessons for this modern age, they can ensure today’s youth have a headstart once they reach the workforce.
