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When to use AI writing support vs expert editing

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When to use AI writing support vs expert editing

Artificial intelligence (AI) has made everything easier and faster, including preparing a research paper for publication.

AI-powered academic writing tools like Paperpal enable researchers to put together outlines, turn notes into drafts, locate relevant citations, and achieve the right tone and style for their field. But this doesn’t mean that human editors at English editing services are now obsolete. In this article, we’ll look at using AI versus human editors to write a research paper, and the optimum role for each to play.

Why use AI while writing a research paper?

AI offers researchers several benefits when they’re preparing manuscripts for publication:

  • Speed: AI produces outputs in seconds to minutes
  • Affordability: Many AI academic writing tools have a free version
  • Capabilities beyond language: AI tools can offer more than language support, such as citation checks and plagiarism checks.

Why use a human editor for your research paper?

A professional human editor can do many things that AI can’t, such as:

Understand your research

A large language model (LLM) predicts text based on patterns, and doesn’t actually understand your hypothesis, methodology, or data.

Improve language beyond surface-level corrections

While LLMs can check for grammar or punctuation errors, human editors can identify gaps in logic, missing information, or lack of flow between ideas.

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Support you after editing

A human editor is available to explain any changes and discuss any ambiguities until you’re satisfied. They can support you through the publication process and encourage you when you receive critical reviewer comments.

Best Ways to Use AI for Writing Your Research Paper

AI can be a powerful tool if you use it correctly, and vastly improve your productivity and efficiency. Here’s what AI can do for you reliably:

Overcome writer’s block

Use AI to put together outlines and to turn your rough notes into a working draft of a research paper.

Broaden your literature search

Tools like Paperpal can find you authentic and relevant references from the published literature. You can also use these tools to extract insights and summaries from the PDF versions of research papers in your library. Just be sure to use an academic-focused writing tool, and not a general LLM like ChatGPT for this.

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Explore alternative phrasing

AI can help you figure out the best and most polished way to put your ideas across, especially if English isn’t your first language.

Eliminate basic errors

AI can fix errors in grammar, punctuation, sentence construction, and consistency. It can make it easier for you to use a uniform style, especially for a large document or a series of documents.

Do final checks

AI-powered academic writing tools often include a plagiarism detector and AI-generated text detector. Use these on the final draft of your paper so that you can submit it to a journal with confidence.

Pro Tip: Always disclose which AI tool you have used in your research and for what tasks. Depending on your journal’s policies, you may have to do so in the cover letter, main manuscript, or both.

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When should you NOT use AI for your research paper?

In some scenarios, using AI can actually harm your chances of getting published, like when:

Your Funders/Institution Forbid AI

Some funders and universities have strict policies about using generative AI like ChatGPT. Always verify in advance that you’re allowed to use AI and for which tasks.

You Generate the Entire Paper with AI

If you simply use LLMs to generate a full paper, without including your own findings and insights, this is considered unethical in academia. Your paper will likely get rejected.

You Use AI for Figures

Many scientific journals have strict restrictions or outright bans on the use of AI-generated images due to concerns over scientific integrity, copyright, and accuracy.

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You Upload Data Into AI

Many AI tools like ChatGPT use the data you input to train future models. This could result in inadvertent sharing of sensitive or confidential data. Never upload your raw data or personally identifying information of your study participants into any AI tool unless you have thoroughly reviewed its data privacy, security, and confidentiality policies.

When to use a human editor for your research paper

AI alone won’t turn out a polished research paper. Here’s what you need a professional academic editing service to do for you.

  • Prepare the manuscript for journal submission: human editors will read through journal guidelines and select those that apply to your paper.
  • Check logic, coherence, and flow: human editors can tell you if you’ve missed reporting results for a subset of your sample, or if you’ve not included directions for future research in your Discussion section.
  • Help address reviewer comments: human editors can verify that you’ve revised your paper in line with reviewer comments and also used an appropriate tone in your responses.

Best Professional Editing Services When You Can’t Use AI

Here are some academic editing services that give you value that AI can’t replicate

Editage

Choose Editage for unmatched expertise and reliability. With a global network of over 3,000 subject matter experts, you’ll receive precise, field-specific editing, free manuscript formatting, and a specialized response letter crosscheck service. Every manuscript undergoes two rigorous rounds of expert review so you can submit with confidence.

Wiley Editing Services

Choose Wiley Editing Services to elevate the clarity and impact of your research. Beyond language editing, it sharpens your manuscript by addressing critical logic and structural gaps. You also get unlimited access to editor Q&A after editing, plus a certificate confirming your paper was edited by a native English speaker, giving your submission added credibility.

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Taylor & Francis Editing Services

Choose Taylor & Francis Editing Services for a strategic edge. Receive a comprehensive evaluation of your paper’s strengths and weaknesses, precise formatting aligned with your target journal, and the advantage of a smart editor-matching algorithm that connects your paper with a true subject-area specialist.

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How small businesses could save thousands on fuel as gas prices rise: expert

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How small businesses could save thousands on fuel as gas prices rise: expert

High gas prices continue to squeeze small businesses across the U.S., but cutting one costly habit could help owners save significantly.

New data from Ford Pro, the commercial vehicle division of Ford Motor Company, shows that unnecessary idling — leaving a car running while parked — can cost fleet operators thousands of dollars each year, cutting directly into margins at a time when fuel prices remain high.

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According to the U.S. Department of Energy, the average fleet vehicle idles between one and two hours per day, burning up to two gallons of fuel daily per vehicle. With gas prices rising, those costs can add up quickly.

As of Sunday, the national average price for unleaded gas stood at $4.04, up from $3.88 just a month ago, according to AAA.

BESSENT WARNS GAS STATIONS THAT TREASURY DEPT WILL KEEP THEM ‘HONEST’ AFTER SPIKE IN PRICES

2019 Ford Motor Co. F-150 pickup trucks are displayed at a car dealership in Orland Park, Illinois, U.S., on Friday, Sept. 27, 2019. Auto sales in the U.S. probably took a big step back in September, setting the stage for hefty incentive spending by carmakers struggling to clear old models from dealers' inventory

Ford Motor Co. F-150 pickup trucks are displayed at a car dealership in Orland Park, Illinois, on Sept. 27, 2019.  (Daniel Acker/Bloomberg via Getty Images / Getty Images)

“You can burn up one to two gallons of gas just doing that,” Matt Krukin, who leads software and digital growth for Ford Pro, told FOX Business. “So if that happens per day… that’s $8 a day that’s idling.”

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For businesses operating multiple vehicles, the impact can be substantial. A 20-vehicle fleet idling for two hours a day could waste more than $160 in fuel every day, according to Ford Pro.

Excessive idling is particularly common in North America, where about 29% of fleet vehicles idle unnecessarily, compared to just 10% in Europe, Krukin noted.

To help address the issue, Ford Pro is investing in software and data-driven tools.

FORD SEEKS TRUMP ALUMINUM TARIFF RELIEF AFTER FIRES AT MAJOR US FACTORY, REPORT SAYS

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Gas being pumped

A person pumps gas into a car. (Sean Gallup/Getty Images / Getty Images)

Its newly launched artificial intelligence (AI) assistant allows fleet managers to monitor vehicle behavior in real time, identify inefficiencies and coach drivers to adopt more fuel-efficient habits. 

Ford Pro says customers using these tools have seen measurable improvements, including a 52% reduction in idling.

While reducing idling is one of the simplest ways to cut costs, other driving behaviors — such as aggressive acceleration, rapid braking, and speeding — can also increase fuel consumption and wear on vehicles, according to Krukin.

The system can even limit acceleration, while in-cab alerts provide real-time feedback.

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FORD BUILDS ONE-OF-A-KIND EXPLORER FOR POPE LEO XIV

Cars driving on the highway

Cars are seen driving on the highway. (Jonas Walzberg/picture alliance via Getty Images / Getty Images)

“It’s like the fleet manager’s right next to them to coach them along the way,” Krukin said.

Users have also seen a 25% drop in speeding, a 16% decrease in hard braking and an 11% reduction in harsh acceleration, according to Ford Pro.

GET FOX BUSINESS ON THE GO BY CLICKING HERE

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“We’re not just recommending solutions for the heck of it,” Krukin said. “… At the end of the day, it’s really about bringing it all together, so that these fleets actually get a pleasurable experience with the tools and technology coming together.”

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BOJ’s hawkish hints keep rate hike on the cards


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Eli Lilly in advanced talks to acquire Kelonia Therapeutics for over $2 billion, WSJ says


Eli Lilly in advanced talks to acquire Kelonia Therapeutics for over $2 billion, WSJ says

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World Bank Highlights AI Boom as a Bright Spot Amid Slowing Growth in East Asia and the Pacific

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Asia Pacific Defies Global Slowdown in Sustainable Finance

Growth across East Asia and the Pacific is losing momentum this year, weighed down by an energy shock, rising trade barriers, and persistent domestic vulnerabilities, but a surge in artificial intelligence-related trade and investment is offering a rare point of optimism, according to the World Bank’s latest regional economic report.

Key takeaways

  • AI-related exports and investment surged across East Asia and the Pacific in 2025, with Malaysia, Thailand, and Viet Nam leading the way.
  • Regional growth is forecast to slow to 4.2% in 2026, pressured by the Middle East energy shock, trade barriers, and weak domestic demand.
  • Closing gaps in connectivity and skills is essential for the region to fully capture the productivity benefits of AI.

Regional growth is projected to slow to 4.2% in 2026, down from 5.0% in 2025, as the energy shock stemming from the Middle East conflict compounds the adverse impact of elevated trade barriers, global policy uncertainty, and domestic economic difficulties.

China, the region’s largest economy, is expected to decelerate from 5.0% growth in 2025 to 4.2% in 2026 and 4.3% in 2027, as weak domestic demand and property sector challenges persist and the global slowdown weighs on exports. The rest of the region is forecast to slow to 4.1% in 2026 before rebounding to 5.0% in 2027 as geopolitical tensions ease.

Against that difficult backdrop, the World Bank’s East Asia and Pacific Economic Update: Industrial Policy in the Digital Age identifies AI as a meaningful bright spot. The report highlights surging AI-related exports and investment in 2025, particularly in Malaysia, Thailand, and Viet Nam, as a notable positive development for the region.

Yet the Bank cautions that the full benefits of AI remain out of reach for much of the region. Adoption is constrained by gaps in connectivity and skills, with only 13 to 17% of multinational subsidiaries in China and Thailand currently using AI, roughly one third of the proportion seen in industrialised countries.

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The report also examines how rising energy costs could deepen hardship for ordinary households. A sustained 50% increase in fuel prices could result in a 3 to 4% loss in income for households across the region, with the poor and small and medium enterprises identified as the most vulnerable.

On a longer-term strategy, the update argues that industrial policy, if carefully designed, can help unlock productivity gains. Targeted support for specific industries in the Republic of Korea, Malaysia, and, more recently, Viet Nam proved effective in part because those countries had strengthened their economic foundations, including infrastructure, education, and regulatory institutions, and had liberalised trade and investment. The Bank warns that similar efforts elsewhere have delivered weaker results where those foundations remain fragile.

World Bank Vice President for East Asia and the Pacific Carlos Felipe Jaramillo noted that while the region continues to outperform much of the world, sustaining growth will require confronting structural challenges and seizing the opportunities of the digital age to increase productivity and create more jobs.

World Bank Group Director of Research Aaditya Mattoo cautioned that present difficulties could increase economic distress and inhibit productivity growth, adding that measured support for people and firms could preserve jobs today while reviving stalled structural reforms could unleash growth tomorrow.

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S&P 500: I Sold Too Early, What Now? (Technical Analysis) (SP500)

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S&P Global Dividend 100 Index: Where High Yield Meets Quality

This article was written by

Andrew McElroy is Chief Analyst at Matrixtrade, author of the ebook ‘Fractal Market Mastery’ and producer of the ‘Daily Edge.’ The ‘Daily Edge’ is emailed before each US session and outlines actionable ideas, directional bias, and important levels in the S&P500. It also looks at ‘What’s Hot,’ on any particular day, whether it is commodities, stocks, crypto, or forex. Andrew has developed a top-down proprietary system that starts with his weekend Seeking Alpha article focusing on the higher timeframes. Fractals, Elliott Wave, and Demark exhaustion signals are all incorporated, as are macro drivers and analysis of the market narrative. It is much more than just a few lines on a chart – it is a system developed over 15 years and proven to deliver a consistent edge. An independent trader since 2009, Andrew manages a family portfolio of stocks and ETFs with his wife and fellow Seeking Alpha contributor Macrogirl.

Analyst’s Disclosure: I/we have a beneficial long position in the shares of VOO either through stock ownership, options, or other derivatives. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article.

Seeking Alpha’s Disclosure: Past performance is no guarantee of future results. No recommendation or advice is being given as to whether any investment is suitable for a particular investor. Any views or opinions expressed above may not reflect those of Seeking Alpha as a whole. Seeking Alpha is not a licensed securities dealer, broker or US investment adviser or investment bank. Our analysts are third party authors that include both professional investors and individual investors who may not be licensed or certified by any institute or regulatory body.

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ServiceNow Q1 Preview: Earnings Growth It Needs Is Too High To Justify A Buy (NYSE:NOW)

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ServiceNow Q1 Preview: Earnings Growth It Needs Is Too High To Justify A Buy (NYSE:NOW)

This article was written by

I aim to provide alpha-generating investment ideas. I am an independent investor managing my family’s portfolio, primarily via a Self Managed Super Fund. My articles deliver 5-Minute Pitches focused on the core fundamental and technical drivers of the security.I have a generalist approach as I explore, analyze and invest in any sector so long there is perceived alpha potential vs the S&P500. The typical holding period ranges between a few months to multiple years.I am very much focused on adding value via alpha generation. I always start with a Performance Assessment section for each follow-up article. I publish unusually detailed analytics on my long-only, zero-leverage global equity portfolio performance on my Hunting Alphas website every month. At Hunting Alphas, you can also access the models to all the tickers I publish on.A bit about how I approach research and coverage of a stock:I build and maintain spreadsheets showing historical data on the financials, key metric disclosures, data on the guidance and surprise trends vs consensus estimates, time-series values of the valuations vs peers, data on key coincident or leading indicators of performance and other monitorables. In addition to the company’s filings, I also keep tabs on relevant industry news and reports plus other people’s coverage of the stock. In some cases, such as during times of a CEO change, I will do a deep dive on a key leader’s background and his/her past performance record.I very rarely build DCFs and project financials many years out into the future as I don’t think it adds much value. Instead, I find it more useful to assess how a company has delivered and the broad outlook on the 5 key drivers of a DCF valuation: revenues, costs and margins, cash flow conversion, capex and investments and the interest rates (which affect the discount rate/opportunity cost of capital). In some cases, especially for companies trading at very high multiples on a TTM or 1-yr fwd basis, I do a reverse DCF to make sense of the implied growth CAGR implications.Note: Hunting Alphas is related to VishValue Research on Seeking Alpha.

Analyst’s Disclosure: I/we have no stock, option or similar derivative position in any of the companies mentioned, and no plans to initiate any such positions within the next 72 hours. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article.

Seeking Alpha’s Disclosure: Past performance is no guarantee of future results. No recommendation or advice is being given as to whether any investment is suitable for a particular investor. Any views or opinions expressed above may not reflect those of Seeking Alpha as a whole. Seeking Alpha is not a licensed securities dealer, broker or US investment adviser or investment bank. Our analysts are third party authors that include both professional investors and individual investors who may not be licensed or certified by any institute or regulatory body.

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