As AI generated content rises, so do the opportunities, and so do the challenges, when it comes to producing original written material. But tools like ChatGPT also make it easier and faster to write all types of content. However, the sheer volume of AI generated text also calls into question plagiarism and ownership.
As a marketer, you can’t afford to plagiarise – legally or ethically. Copying others’ work can damage your business’s reputation and business relationships instantly. As the AI generation becomes more mainstream, the stakes only get higher.
Luckily, with a little tweaking of your workflow, you can use AI content while still keeping it 100% original. And while the AI boom is happening, this article offers you tips on how to avoid plagiarism. These suggestions will help you integrate them and keep your marketing strategy effective but 100% above board.
Recognising the Plagiarism Risks Around AI Content
Before diving into solutions like reliable AI plagiarism checker from Smodin, it’s essential to understand precisely why AI changes the plagiarism landscape:
The Volume of AI Content
Tools like ChatGPT can churn out huge volumes of written material in seconds. Early estimates suggest that 65% of organisations are regularly using gen AI.
With so much synthetic text flooding the internet, the chances of unknowingly repeating someone else’s ideas increase exponentially. Even if you don’t leverage generative AI yourself, others’ usage still raises the risks.
The Opacity of AI Content Sourcing
In some instances, AI applications straight lift or very closely rephrase sources without attribution. For example, a study last year found that 60 percent of ChatGPT’s outputs were plagiarised.
But it’s really difficult to track an AI text back to any original references. The models create language from their training data, as opposed to any specific websites or books. It makes it harder to give credit, even when it’s warranted.
The Ease of Tweaking AI Output
The goal of ChatGPT and similar tools is to start with a point that a user can then tweak or rewrite. Thus, an AI-generated paragraph that plagiarises could be posted by someone who makes minor edits and then poses it as fully original.
This also makes it more likely that plagiarism will happen by accident or intent. As long as you are using generative AI safely, you can still take advantage of it.
Adopt Responsible AI Content Practices
The first step is instilling plagiarism-avoidant practices when personally working with conversational AI tools:
Understand Your Selected Model's Training Process
AI education site Anthropic details, “the training process largely determines what kinds of outputs we should expect from a model.”
For example, models trained on copyrighted books without permission tend to be more verbatim reproduced. Go for generative AI brands, which gather the training data ethically and transparently.
The due diligence you do here reduces the probability of accidental plagiarism through your own content generation. It also shows clients and partners you take originality seriously.
Attribute Any Unedited AI Excerpts
When directly quoting a book in an article, you place the passage in quotation marks and cite the source. The same standard applies to unedited AI excerpts.
Suppose you asked ChatGPT to explain customer loyalty programs and included a definition verbatim in a brand guide. In that case, you’d denote it’s AI-generated and name the tool used, just as you would an excerpt from a business textbook.
Revise and Rework All AI Outputs
Ethical AI writing tools present themselves as assistants rather than autonomous creators. The onus falls on human users to adapt computer-generated suggestions into original expressions.
Before integrating any AI outputs into published materials, alter, restructure and rephrase them to humanize AI until they become distinctly your work. Establishing ownership and not allowing yourself to fall into the plagiarism pitfalls is part of this critical revision process.
Verify the Originality of Both AI and Human-Created Content
Only the use of responsible AI on your part can limit part of the plagiarism risk. You’ll also need to validate originality regardless of each piece’s authorship method – whether written by staff members, freelancers or software:
Leverage Plagiarism Checking Software
To analyse text for prior overlap with online sources, we have tools like Smodin, Copyleaks, PlagiarismChecker, and PlagScan. These services scan submissions against the web, academic journals, and their databases.
Enable plagiarism detection as a standard step for assessing any drafts before finalising content. Both in-house teams and outside contributors should submit work through this analysis regularly.
Compare Against Free Online Sources
Plagiarism checkers have their blind spots: say, missing plagiarised passages in print books or paywalled articles. If that doesn’t work, copy key excerpts and search for them in Google.
The purpose of this quick manual check is to surface cases where content is unoriginal to online-only sources. It’s free, fast and easy to include in any review workflow.
Research Tone, Style and Accuracy
Don’t just check for verbatim language overlaps. If the writer’s opinion or analogies are so sophisticated or statistics sound so suspiciously sophisticated, investigate further.
Search for key facts cited alongside the piece’s central topic areas. You likely have an AI-plagiarism situation if you find the same precise (and potentially inaccurate) claims repeated across multiple online articles.
We will be able to detect plagiarised passages wherever they originate, whether they’re automatically or manually scanned first. Second, you need documented processes to respond to any identified breaches of content policy.
Set Formal Reuse and Attribution Policies
To date, the tips have been oriented towards proactive plagiarism avoidance and screening. But your strategy still requires defined responses should someone incorporate unoriginal work:
Pick Permitted Content Licenses
Creative Commons licenses enable content creators to specify how other people can re use their work. This means for example the CC BY-ND 4.0 license allows redistribution without modification.
Decide which license fits your brand’s goals – whether maximum sharing with attribution or more restrictive terms. Then, the licenses are applied consistently to all published materials.
Clear reuse guidelines make it easier to address infringements. If someone copies non-licensed content verbatim without permission, you have evidence they violated policy.
Require Creator Agreements
Have staff members, freelancers and AI tools sign contracts permitting you or clients full content rights before starting paid assignments. Include provisions to transfer ownership should they incorporate plagiarised passages.
These creator agreements give you legal standing if firing or demanding fixes from writers who plagiarise. They also deter intentional copying by raising accountability.
Document Attribution Rules
Create written guidelines around properly attributing any third-party content used with permission. Explain when to apply quotation marks, insert hyperlinks or cite references.
Then, requires creators to review the policy manual before submitting pieces. This eliminates excuses about sloppy attribution versus willful plagiarism.
With all above prevention and detection strategies enacted, you can leverage AI content creation confidently. Any remaining plagiarism cases become manageable through prescribed resolution workflows.
Foster a Culture That Values Originality
Technical controls alone won’t guarantee full plagiarism avoidance. You must also cultivate an organisational culture that intrinsically values original work:
Lead With Your Commitment
Have leadership draft their own thought pieces, analysis and other materials without generative AI assistance. Challenge marketing teams to develop fully manual skills like brainstorming and outlining.
However, if managers themselves are seldom you rely on AI support, as customers, they set the precedent that human creativity is more desired than synthetic shorthands. Their example encourages others to reduce and use computer generated content wisely.
Reward Original Thinking
Give praise to creators who have ideas that are intellectual autonomy rather than process imitation. For example, give credit for those who invent fresh campaign ideas, as opposed to just minor variations on old winners.
Build motivation around meaningful ingenuity so high volumes matter less than high quality. Employees and partners will aspire to impress with innovations rather than length.
Allow Time for Incubation
Create space for writers to think about topics before they start to draft. Don’t ask for instant turnaround posts or other materials.
When content generation supports exploration over expediency, creators can immerse themselves in research and reflection. The resulting pieces will read more distinctly, even on evergreen subjects.
Plagiarism is unacceptable socially and has a high risk of professional failure because of an organisational spirit of creativity over copy-pasting. As AI proliferates, you can make originality the norm paired with safeguards around evaluation and attribution.
Maintain Vigilance as AI Content Proliferates
While generative text seems interesting from the perspective of easing the burden of writing, it brings new vectors of plagiarism that need to be mitigated. These recommendations enable productivity gains without sacrificing creativity or ethics.
But originality is never complete. The more advanced your AI becomes, the more you need to adjust your avoidance strategy. As new risks emerge, revisit detection processes. Keep on building organisational integrity around the proper crediting of sources.
By committing to ongoing adaptation, your content marketing will remain relevant to audiences who are still engaged by ideas that are uniquely and thoroughly your own, as authorship technologies advance. H, lean on machines for support, and grounded in human values based ond imagination and attribution.
This balanced approach lets your brand be in the forefront of marketing innovation whilst keeping plagiarism where it should be – in the past.
Frequently Asked Questions Around AI and Plagiarism
Navigating plagiarism risks amidst the rise of AI calls for continual learning as guidance evolves. Monitor key questions from peers and experts to ensure your avoidance strategy stays sharp:
Do AI plagiarism checks exist yet?
A handful of startups now scan text against AI-generated content to assess originality, including GPTZero and Quetext. However, with new models launching regularly, detection lags behind creation. Maintain manual oversight processes since automated tools have blindspots.
Does rewriting AI output qualify as plagiarism?
The consensus is no – adapting computer-suggested text into your own words and structure avoids plagiarism. However, best practice remains to limit reliance on generative tools. Develop most concepts and prose independently before selectively applying AI enhancements.
What are the legal risks around AI plagiarism?
Using unedited ChatGPT excerpts or full-passage GPT-3 reproductions without attribution remains legally actionable as copyright infringement. Some AI models generate their training data through scraping, creating separate theft issues. Consult an attorney if identifying extensive plagiarism to determine financial and brand fallout.
How will AI evolve to combat plagiarism?
Emerging AI applications can both generate content and assess other text for originality. So using the same technology that enables plagiarism may also help restrict it. However, human review remains essential until automated approaches mature.
Stay on top of thought leader perspectives as academic study around AI and plagiarism accelerates. Let the latest findings inform your avoidance strategy.
