write a 22 sentence response with 12 sentences summarizing and 10 sentences answering the following question: Should schooling be tailored to individual needs with the use of artificial intelligence?

Generative artificial intelligence is a subset of AI that utilizes machine learning models to create new, original content, such as images, text, or music, based on patterns and structures learned from existing data. A prominent model type used by generative AI is the large language model (LLM). 

An LLM, like ChatGPT, is a type of generative AI system that can produce natural language texts based on a given input, such as a prompt, a keyword, or a query. LLMs typically consist of millions or billions of parameters that are “trained” on massive amounts of text data, such as books, articles, websites, and social media posts, and can perform various tasks, such as answering questions, summarizing texts, writing essays, creating captions, and generating stories. LLMs can also learn from their own outputs and are likely to improve over time.

It’s important to note that while LLMs can answer questions and provide explanations, they are not human and thus do not have knowledge or understanding of the material they generate. Rather, LLMs generate new content based on patterns in existing content, and build text by predicting most likely words. 

Because of how LLMs work, it is possible for these tools to generate content, explanations, or answers that are untrue. LLMs may state false facts as true because they do not truly understand the fact and fiction of what they produce. These generated fictions presented as fact are known as “hallucinations."

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How Will Generative AI Affect Higher Education?
Nobody knows the true impact that generative AI will have on higher education. These technologies are rapidly evolving in complexity and type of use. What we do know is that generative AI is opening up a world of possibilities, while also generating significant concerns about academic integrity, ethics, access and bias.

Before we dig too deep into whether and how to incorporate generative AI into your courses, here are a few general steps you can take as you consider what generative AI means for your classroom: 

Reflect: How do you feel about generative AI? Concerned? Excited? A little of both? What additional information do you need to feel able to make informed decisions about whether or not to incorporate it into your courses? 
Try it out: Experiment with generative AI platforms relevant to your discipline, like ChatGPT, Bard, or DALL-E 2. Choose a tool, then ask it to complete an assignment you’d give your students. What are the results? Ask it to revise the assignment, and see how it responds. Can you identify possible areas of concern for academic integrity, or opportunities for student learning? 
Predict and inquire: How might students use this technology in your course? Can you ask students how they are currently using generative AI tools? What clarity will students need to distinguish between appropriate and inappropriate uses of these tools? Consider how you might adjust assignments to either incorporate generative AI into your course, or to identify areas where students may lean on the technology, and turn those hot spots into opportunities to encourage deeper and more critical thinking. How might you use these tools to assist your teaching? For example, could generative AI help generate practice problems for students?
Learn more: This technology is evolving, and none of us are experts yet. Be open to continuing to learn more and to having ongoing conversations with colleagues, your department, people in your discipline, and even your students about the impact generative AI is having. 
Set your parameters: Decide whether and when you want students to use the technology in your courses, and clearly communicate your parameters and expectations with them. Keep in mind that students will likely have instructors with different ideas about how to use, or why or why not to use, generative AI tools. Be transparent and direct about your expectations.
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The Upside: Possibilities for Generative AI to Benefit Learning Environments 
We all want to discourage students from using generative AI to complete assignments at the expense of learning critical skills that will impact their success in their majors and careers. 

However, we’d also like to take some time to focus on the possibilities that generative AI presents. Here are a few ways it can be useful to students and faculty alike: 

Generative AI can potentially be used by both faculty and students to: 

Provide instant access to vast amounts of information quickly
Aid diverse learners with different learning abilities, linguistic backgrounds or accessibility needs
Accelerate exploration and creativity, spark curiosity, suggest new ideas and ways of thinking
Students might explore using Generative AI to:

Be more efficient with course work and tasks
Help with studying
Generate ideas for brainstorming
Get further explanation of a topic a teacher is covering for class
Improve their writing
Get instant feedback
Practice language skills in a safe environment
Faculty might explore using Generative AI to:

Act like a virtual teaching assistant that helps with answering student questions, provides clarification, or offers guidance when not in class
Generate content and course materials including lesson plans, quiz questions, sample problems, or writing scenarios
Assist in research tasks including analyzing large datasets, identifying patterns, and generating insights and research directions
Write learning objectives, course descriptions, syllabi statements, or course policies
As you and your students prepare to investigate the use of generative AI tools, we recommend discussing course policies and expectations around their use, and clearly communicating with your students when and in what ways use of generative AI tools are permitted – or not. We also recommend that you consider the accessibility of generative AI tools as you explore their potential uses, especially those that students may be required to interact with. Finally, it’s important to take into account the ethical considerations of using such tools. These topics are fundamental if considering using AI tools in your assignment design.

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Generative AI Literacy
While ChatGPT and other LLMs can assist learners in various tasks and activities, they cannot replace human creativity, judgment, ethics, or responsibility, all of which are essential for learning. LLMs may help a learner write a paper or a report, but they cannot teach the learner how to conduct original research, synthesize information from multiple sources, formulate arguments, express opinions, or cite sources properly. Thus, the need for AI literacy is essential for students and faculty alike.

We can think of ethical generative AI literacies as the ability to understand, evaluate, and critically engage with generative AI technologies. Generative AI literacy includes skills such as recognizing when and how generative AI is used in various domains; assessing the reliability and validity of AI-generated outputs; identifying the ethical and social implications of AI applications; and creating and communicating with generative AI systems in ways that are appropriate to your course.

Just as we adapt to the changing media environment, developing AI literacy will be an ongoing process, but one that is vital to helping you and your students become more informed and responsible users and creators of AI technologies.