Clarity and conciseness are vital elements of effective communication. When writing an article, keep your sentences short (less than 15 words) and straightforward, enabling readers to comprehend your ideas quickly. Moreover, eliminate unnecessary jargon or complex terms that may alienate or confuse some readers.
A meticulous approach to verifying facts is particularly critical when learning how to write articles that inform decision-making, shape opinions, or ignite public debate. By prioritizing accuracy and supporting claims through credible evidence, you’ll bolster reader trust while elevating the overall quality of your work.
Once you have carefully written your article, keeping the quality intact with the help of AI tools and methods, it is crucial to take strategic steps toward its publication. In this digital age, many options exist for authors to promote their content effectively. Here are two primary ways to publish your article, ensuring maximum visibility and impact.
Social media has recently become integral to content promotion strategy due to its widespread reach and user-friendly features. By leveraging social media platforms like LinkedIn, Twitter, Facebook, and Instagram for sharing articles, how to write more efficiently using AI tools can amplify brand visibility significantly without much investment. Some effective practices include:
Developing an effective publication strategy may significantly impact the overall visibility of your article. By combining targeted outreach to relevant magazines and websites and thoughtful and engaging social media promotion, you can ensure that your well-researched and impeccably written AI-enhanced article reaches scores of interested readers.
Entrepreneur passionate about scaling SaaS companies on a global B2B stage. My expertise in AI, SEO, and Content Marketing is my toolkit for driving tangible results. I'm a hands-on executor guided by results, deeply passionate about marketing, and skilled at aligning business objectives with people's needs and motivations. With a pragmatic mindset. My approach is all about clarity, efficiency, and open dialogue.
This policy aims to provide greater transparency and guidance to authors, readers, reviewers, editors in relation to generative AI and AI-assisted technologies. Elsevier will monitor this development and will adjust or refine this policy when appropriate. Please note the policy only refers to the writing process, and not to the use of AI tools to analyze and draw insights from data as part of the research process.
Where authors use generative AI and AI-assisted technologies in the writing process, these technologies should only be used to improve readability and language of the work and not to replace key authoring tasks such as producing scientific, pedagogic, or medical insights, drawing scientific conclusions, or providing clinical recommendations. Applying the technology should be done with human oversight and control and all work should be reviewed and edited carefully, because AI can generate authoritative-sounding output that can be incorrect, incomplete, or biased. The authors are ultimately responsible and accountable for the contents of the work.
Authors should disclose in their manuscript the use of generative AI and AI-assisted technologies and a statement will appear in the published work. Declaring the use of these technologies supports transparency and trust between authors, readers, reviewers, editors, and contributors and facilitates compliance with the terms of use of the relevant tool or technology. This policy is intended to cover new content creation only (i.e., new works or new content or chapters added to a revised work). Generative AI and AI-assisted technologies should not be used on previously published material.
Authors should not list generative AI and AI-assisted technologies as an author or co-author, nor cite AI as an author. Authorship implies responsibilities and tasks that can only be attributed to and performed by humans. Each (co-) author is accountable for ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved and authorship requires the ability to approve the final version of the work and agree to its submission. Authors are also responsible for ensuring that the work is original, that the stated authors qualify for authorship, and the work does not infringe third party rights, and should familiarize themselves with Elsevier’s Publishing Ethics policy before they submit.
Elsevier does not permit the use of generative AI or AI-assisted tools to create or alter images in submitted manuscripts. This may include enhancing, obscuring, moving, removing, or introducing a specific feature within an image or figure. Adjustments of brightness, contrast, or color balance are acceptable if they do not obscure or eliminate any information present in the original. Image forensics tools or specialized software might be applied to submitted manuscripts to identify suspected image irregularities.
The only exception is if the use of generative AI or AI-assisted tools is part of the research design or research methods (such as in AI-assisted imaging approaches to generate or interpret the underlying research data, for example in the field of biomedical imaging). If this is done, such use must be described in a reproducible manner in the methods section. This should include an explanation of how the generative AI or AI-assisted tools were used in the image creation or alteration process, and the name of the model or tool, version and extension numbers, and manufacturer. Authors should adhere to the AI software’s specific usage policies and ensure correct content attribution. Where applicable, authors could be asked to provide pre-AI-adjusted versions of images and/or the composite raw images used to create the final submitted versions, for editorial assessment.
My classes now require AI (and if I didn’t require AI use, it wouldn’t matter, everyone is using AI anyway). But how can students use AI well? Here is a basic tutorial and guide I am providing my classes. It covers some of the many ways to use AI to be more productive, creative, and successful, using the technology available in early 2023, as well as some of the risks.
For right now, no other general AI tool comes even close to ChatGPT, which uses a variant of the GPT-3.5 language model. You will have to register for the site, and it can be slow (especially as there is a paid tier that will get priority over free use). If ChatGPT is down, you can also access roughly same model via the OpenAI Playground, but it will not have the useful chat features. More alternatives are coming, but right now there is nothing close to the GPT models if you want to experience the power of AI.
Writing anything. Blog posts, essays, promotional material, speeches, lectures, chose-you-own adventures, scripts, short stories - you name it, it does it. But you can’t just give it basic prompts. Getting good writing out of ChatGPT takes some practice, and here is a guide to doing that. Again, though, be aware of both the ethics of passing off the work of others as your own and academic honor codes. In my class, you merely need to include a paragraph about how you used ChatGPT in any assignment, other classes may ban or restrict the tool.
Help you with tasks. AI can write emails, create sales templates, give you next steps in a business plan, and a lot more. Here is a guide to how to use it help in entrepreneurship that introduces some of these approaches.
Unblock yourself. Neil Gaiman wrote: “Being a writer is a very peculiar sort of a job: it's always you versus a blank sheet of paper (or a blank screen) and quite often the blank piece of paper wins.” And I often find that this is true. Creating is hard, and having the AI suggest a header or paragraph is often a great way to move forward, even if you never use any of the text.
Some things to worry about: In a bid to respond to your answers, it is very easy for the AI to “hallucinate” and generate plausible facts. It can generate entirely false content that is utterly convincing. Let me emphasize that: AI lies continuously and well. Every fact or piece of information it tells you may be incorrect. You will need to check it all. Particularly dangerous is asking it for math, references, quotes, citations, and information for the internet. You are responsible for the accuracy of everything you do, don’t expect the AI to produce truthful information.
The AI also doesn’t explain itself, it only makes you think it does. If you ask it to explain why it wrote something, it will give you a plausible answer that is completely made up. It is not interrogating its own actions, it is just generating text that sounds like it is doing so. This makes understanding biases in the system very challenging, even though those biases almost certainly exist.
AI For WorkStable Diffusion, which is open source and you can run from any high-end computer. It takes effort to get started, since you have to learn to craft prompts properly, but once you do it can produce great results. It is especially good for combining AI with images from other sources. Here is a nice guide to Stable Diffusion if you go that route (be sure to read both parts 1 and part 2).
Midjourney, which is the best system in early 2023. The reason I would suggest MidJourney is that it has the lowest learning-curve of any system: just type in "thing-you-want-to-see --v 4" (the --v 4 at the end is important, it uses the latest model) and you get a great result. Midjourney requires Discord. Here is a guide to using Discord. And here is a Twitter thread on using MidJourney’s interface.
Some things to worry about: These systems are built around models that have built-in biases due to their training on Internet data (if you ask it to create a picture of an entrepreneur, for example, you will likely see more pictures featuring men than women, unless you specify “female entrepreneur”), you can use this explorer to see these biases at work.
Despite of (or in fact, because of) all its constraints and weirdness, AI is perfect for idea generation. You often need to have a lot of ideas to have good ideas. Not everyone is good at generating lots of ideas, but AI is very good at volume. Will all these ideas be good or even sane? Of course not. But they can spark further thinking on your part.
It is now trivial to generate a video with a completely AI generated character (you can use the images generated using the techniques in the guide), reading a completely AI-written script, talking in an AI-made voice, animated by AI. I created this video of a cyborg giving a TED Talk in under two minutes. The easiest way is to use D-iD, but a lot of competition is entering the space, and things are changing by the minute.
Both ChatGPT and GPT-3.5 are very good at writing code. There is evidence that using AI assistance in coding may cut programming time in half. You also might be able to use it even if you don’t code yourself. For example, you can create javascript art projects just by asking, as this thread explains. But the process is not 100% error-free for non-programmers.
To accomplish the same goals, non-programmers may not be aware that there has been a revolution in workable low-code or no-code application builders (many of which have nothing to do with AI) that use platforms like Bubble or Shopify to help you create fairly sophisticated apps without the need to program directly. Early evidence shows that companies built with these approaches get similar kinds of outcomes as other startups, but they do it faster and raise less cash (and get lower valuations). Many of these systems include good tutorials, such as Bubble’s Academy. However, these platforms typically charge for services.
Summarize texts. I have pasted in numerous complex academic articles and asked it to summarize the results, and it does a good job! (though remember the size limits). Even better, you can then interrogate the material by asking follow-up questions: what is the evidence for that approach? What do the authors conclude? And so on…
Help with concepts. You can ask the AI to explain concepts. Because we know the AI could be hallucinating, you would be wise to (carefully!) double-check its results against another source. This both helps you learn and confirms the AI output looks good. Once you have a sense that it is right, ask it to explain it in different ways “Like I am 10” or “in a script from The Office” or “in the context of a medical examination.” Again, this is a start for your learning journey, since it will often get subtleties wrong.
Some things to worry about: If you don’t check for hallucinations, it is possible that you could be taught something inaccurate. Use the AI as a jumping-off point for your own research, not as the final authority on anything. Also, it isn’t actively connected to the internet, so it has no up-to-date information.
There are many ethical concerns you need to be aware of. AI can be used to infringe on copyright, or to cheat, or to steal the work of others, or to manipulate. And how a particular AI model is built and who benefits from its use are often complex issues, and not particularly clear at this stage. Ultimately, you are responsible for using these tools in an ethical manner. Be transparent about how you use AI, and take responsibility for the output you create.
Amazingly helpful Ethan. How much did you use ChatGPT in writing it? That aside, I really like the vibe of embracing AI, rather than running from it. This has the feel of the heady days back in the 1990s when people were waking up to the web. But I think you rightly have included some warnings, e.g. hallucinating AI. Keep writing, I'm really enjoying it.
Artificial intelligence technology has become increasingly sophisticated and readily available. We believe that educators can contribute to how this important technology is understood and used. We invite you to engage thoughtfully and attentively with this teaching guide as a way to learn about and positively influence the dialogue around artificial intelligence in education.
We offer this guide to all instructors and teaching teams approaching the topic of generative AI tools in education, whether for the first time or as part of your ongoing engagement with the topic, in response to practical concerns that we heard from instructors like yourself. You don't need to be an expert or have prior experience with generative AI to use this resource, though you should have some understanding of or experience with teaching and learning in higher education contexts. We intend this guide to apply to any disciplinary area or teaching modality and to help you structure the work of integrating AI tools into your teaching practice.
We cannot comprehensively address the complex topic of artificial intelligence in any short guide. Many campus service providers, such as University Information Technology (UIT), Stanford Accelerator for Learning, and the Institute for Human-Centered Artificial Intelligence (HAI), have developed excellent resources that offer insight into AI in terms of technical aspects, innovative new tools, societal impacts, AI research, and so on. We have chosen to focus on the practical and pedagogical aspects of AI tools in the classroom. We will focus on generative AI chatbots in particular, but you may find the content here can also apply to other generative AI tools, such as image, media, or code generators.
Each page of this guide contains one instructional module including content, practice tasks, and assessment activities. We suggest that you complete the activities and suggested readings in each section as a self-directed online lesson. We designed each module as a discrete and complete lesson that you can finish in a relatively short amount of time. You can work through the modules in any order. We encourage you to engage fully with each module, completing the recommended activities to reinforce your learning.