#cognitive-offloading — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #cognitive-offloading, aggregated by home.social.
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DATE: September 9, 2026 at 08:00AM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: Psychologists find smartphone screenshots can cause a profound degree of “digital amnesia”
New research suggests that taking a screenshot of an image on your smartphone makes you less likely to remember it later, without providing any compensatory boost to your mental bandwidth. A series of experiments indicates that the simple act of capturing an image on a screen triggers a lasting inattention to that experience, leaving people with worse memory for what they just saw. These findings were published in Memory & Cognition.
Psychologists have been exploring how digital devices affect our ability to encode memories. A 2014 study found that taking photos of objects in a museum impaired people’s ability to remember details about those objects compared to simply viewing them. This phenomenon is known as the photo-taking impairment effect.
“The original study on the photo impairment effect intrigued us because it seemed to represent an interesting paradox: We photograph the events that we most want to remember, and yet photographing actually works against that goal,” Sophia P. Fabrizio, a doctoral candidate in cognitive psychology at Binghamton University, and Deanne L. Westerman, a professor of psychology and cognitive and brain sciences at the same institution, told PsyPost.
More recently, a 2025 study extended this memory impairment to modern digital behavior, showing that taking screenshots on a smartphone also hurts memory for visual art. “One idea was that taking photographs diverted attention away from the event being photographed,” the researchers explained. “We reasoned that screenshots are much less attentionally demanding (no need to move the eyes away from the subject, to point the camera, to frame the shot) which may have alleviated the impairment. Instead, we found that the memory impairment from screenshotting was actually larger than that of photographing.”
On a separate track, research into cognitive offloading has explored how we use devices as external memory banks. A 2019 study found that offloading information into a saved digital file can free up mental resources, boosting a person’s performance on subsequent, unrelated cognitive tasks. Cognitive offloading essentially proposes that when we know information is saved elsewhere, our brains dedicate less effort to remembering it.
Fabrizio, Westerman, and their colleagues sought to connect these lines of study. “The current study was a continuation of this line of work, asking whether there are any cognitive benefits that could be found, which might be expected if using the camera/phone as an external memory frees up cognitive resources that could be applied elsewhere,” they said. The team wanted to know if screenshotting acts as a form of automatic cognitive offloading. If taking a screenshot signals to the brain that an image is safely stored, the brain might disengage from remembering it.
This disengagement could free up cognitive resources, offering measurable mental benefits on other tasks that might offset the initial memory penalty. To test this idea, the researchers conducted seven separate experiments with undergraduate students.
In the first experiment, 33 participants used their own smartphones to look at 44 different pieces of visual art. An app instructed them to either simply view the art or take a screenshot of it. Afterward, the participants completed a brief coloring task as a distraction, followed by a memory test on a computer.
For the test, they were shown the original art piece alongside two very similar decoy images and had to identify the one they had seen. The participants recognized the viewed images at high rates, but their memory for the screenshotted images was substantially worse.
The second experiment, involving 69 students, replicated this setup but added a source memory test. After trying to identify the correct art piece, participants had to report whether they had originally viewed or screenshotted that specific image. A central feature of cognitive offloading is knowing where information is stored.
“An important idea behind taking photos and screenshots is that you know that you have them and can access them later if you want to review the experience,” the researchers said. “However, the results of our second experiment suggest that we may not even remember that we have that image saved on our devices. This makes the captured information potentially useless!”
Indeed, participants showed poor source memory for the screenshotted items. They correctly remembered whether an item was viewed or screenshotted for only 53.5 percent of the screenshotted art, compared to 71.3 percent for the viewed art. General item recognition also dropped, falling from 78 percent for viewed images to 69.5 percent for screenshotted ones. This indicates that screenshotting impairs memory for the broader context of an experience, not just the visual details.
The third experiment tested whether screenshotting frees up mental bandwidth for a different kind of task. The researchers divided 129 students into two groups. One group screenshotted 32 pieces of art, while the other group only viewed them. Immediately afterward, both groups were given one minute to solve difficult modular math problems.
If screenshotting offloads mental effort, the screenshot group should have had more cognitive resources available to solve the math problems. Instead, the researchers found no statistical difference in math performance between the two groups. When later tested on their memory of the art, the screenshot group again performed much worse than the viewing group.
In the fourth and fifth experiments, the scientists investigated whether screenshotting one set of images would boost memory for a second set of images. The idea was that offloading the first set might reduce mental clutter, making it easier to learn new information. In the fourth experiment, 126 participants either screenshotted a block of art and then viewed a second block, or simply viewed both blocks.
There was no difference in how well the two groups remembered the second block of art. The fifth experiment switched the memory test from multiple-choice recognition to a written recall test, using simple black-and-white drawings of everyday objects. The researchers found a tiny improvement in memory for the second block of images among the screenshotters, but only when the memory test was scored using very lenient criteria. Overall, the memory cost of screenshotting far outweighed any minor learning benefits.
The final two experiments aimed to see if changing participants’ expectations would encourage them to use screenshotting as a deliberate offloading strategy. In previous experiments, participants did not know their memory would be tested. In the sixth experiment, with 105 participants, half were told in advance that there would be a memory test. Knowing about the test did not change the results; memory was still worse for the screenshotted images.
The seventh experiment involved 179 students and took this a step further. Participants were falsely promised they could review their screenshots before the memory test. Half were told the test would happen at the end of the session, while the other half were told the test would happen in a month.
The researchers hypothesized that participants expecting a month-long delay would rely heavily on their screenshots, resulting in a larger memory drop. However, the memory deficit for screenshotted images was similar across both groups. This suggests that the memory impairment is not driven by a conscious, strategic choice to rely on the device.
Instead of a strategic offloading process, the findings point toward a general disengagement of attention. The physical act of taking a screenshot, or the mental categorization of the event as “captured,” seems to interrupt the brain’s natural encoding process. People tend to stop paying close attention to the details and the context of the image, leading to a profound degree of digital amnesia.
“We have actually been surprised by the size of the effect,” the researchers noted. “The effect sizes are generally in the medium to large range suggesting that the results are likely to be noticeable in everyday life.”
“This is especially surprising for screenshots, since this is a very well-practiced and simple task for our college undergraduates,” they added. “Participants in the study never have to look away from the art to capture it with the press of a couple buttons, and they are given as much time as they want to look at each art piece. This suggests that the effect may be operating unconsciously and automatically: Even when we tell people that there will be a test, they do not appear to be able to counteract the reduced attention that seems to occur when taking a photograph or screenshot.”
As with all research, there are a few things to keep in mind. “This is also something that has primarily been investigated in healthy young adults enrolled in colleges and universities, examining memory in the lab with stimuli that are likely not personally meaningful or emotional,” the researchers explained. “This makes it difficult to draw conclusions with any certainty about whether this effect is present for young children or older adults in naturalistic settings where the captured information is deeply meaningful to the individual.”
“That being said, the fact that the effect is found when most everything else is controlled for, suggests that there is something about the act of taking a photograph or screenshot that may be cause for concern when it comes to our organic memory for information and experiences,” they said.
The experiments were conducted in a laboratory setting where participants were instructed to take screenshots and were not allowed to review them later. In everyday life, people often take screenshots specifically to review them later, such as saving a recipe or a map. “While this is likely the case for many of the photos and screenshots we take on a regular basis, if we capture experiences to create meaningful photo albums that get pulled out during family reunions, this is likely going to result in a net positive effect for autobiographical memory,” the researchers noted.
But for the thousands of screenshots that sit unreviewed in digital camera rolls, this research suggests they are likely forgotten by the organic memory system. “If some experience or information is really important to you, and you want to remember it without external aids, your best bet may be to put away your smartphone,” Fabrizio and Westerman advised. “Though digital calendars and reminders may be useful to ensure you make it to a doctor’s appointment, you’re probably better off leaving the photography to the professionals at the next wedding you attend.”
“We are planning to continue to investigate the photo-taking impairment effect in order to better understand when and why it occurs,” they said. “There are currently some contradictory findings in the literature in terms of the different factors that impact the presence and magnitude of the effect. This makes it difficult to reconcile all of the results in the field with any of the proposed accounts for the phenomenon.”
The study, “Digital amnesia: The aftermath of a screenshot,” was authored by Sophia P. Fabrizio, Rebecca Lurie, and Deanne L. Westerman.
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#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #DigitalAmnesia #ScreenshotMemory #MemoryResearch #CognitiveOffloading #PhotoTakingImpairment #MemoryAndCognition #SmartphoneHabits #AttentionInTech #MemoryScience #TechAndMemory
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Offloading to a technology is not, on its own, the problem.
Writing offloaded our memory and we spent the freed capacity on thinking. Turning speech into flat, concrete, written words forces you to think, so the trade paid for itself.
Generative AI offloads the thinking. So what do you spend the freed capacity on?
From this week's post: https://www.ctnet.co.uk/downsides-of-writing-ai/
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DATE: September 2, 2026 at 09:00AM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: Heavy ChatGPT use linked to intellectual laziness and social isolation
URL: https://www.psypost.org/how-relying-on-chatgpt-affects-human-memory-and-critical-thinking/
Artificial intelligence has woven its way into everyday life, prompting questions about how reliance on generative tools affects the human mind. A recent small study published in Applied Cognitive Psychology suggests that leaning heavily on ChatGPT can reduce critical thinking, diminish memory, and lead to social isolation. However, users who engage with the software intentionally can also harness it to boost their creativity and reasoning skills.
Over the last few years, tools that generate human-like text have become wildly popular. ChatGPT reached one million users within a week of its launch and currently boasts over 180 million active users. People use the program for everything from writing emails to solving programming problems.
As these programs become a regular part of daily workflows, researchers are trying to understand the psychological and cognitive costs. Zeineb Farhat, a researcher at ISC Paris, initiated the research to investigate what happens when habitual use turns into dependence. Much of the early research on generative software has focused on its benefits in education and the workplace.
Farhat wanted to document the potential downsides of outsourcing mental effort and emotional needs to a machine. The research draws on established ideas in psychology regarding how people manage mental effort and motivation. One concept is cognitive offloading, which happens when individuals use external tools, like calculators or search engines, to reduce the amount of information they need to process or remember.
Another core idea involves the psychological needs for autonomy, competence, and social connection. When people feel capable and in control of their actions, they are generally more motivated. Farhat set out to see how constant access to an intelligent digital assistant might alter these processes.
The researcher wanted to know if offloading cognitive tasks to an algorithm would compromise a user’s ability to think independently. To explore these dynamics, Farhat conducted a small study involving 45 young adults in France. The participants, aged 18 to 25, were all regular users who interacted with ChatGPT daily.
The researcher conducted semi-structured interviews with each participant, either face-to-face or via video call. These interviews lasted between 45 and 60 minutes. The conversations covered how the participants used the software, how it affected their study or work habits, and how it made them feel.
Farhat then analyzed the interview transcripts to identify recurring themes in the users’ experiences. The analysis revealed that heavy reliance on the software often discouraged independent thought. Participants reported that having instant answers at their fingertips made them less likely to analyze problems deeply or evaluate sources.
Some described experiencing intellectual laziness, noting that their attention spans felt shorter. Users also reported trouble retaining information. They were externalizing their memory by relying on the chatbot to retrieve facts rather than practicing active recall.
“I used to take notes and actively review materials, but now I just ask ChatGPT whenever I need something,” one student noted in the study. “The problem is, I don’t retain much. I feel like my memory has become weaker because I rely on ChatGPT instead of trying to recall things on my own.”
Psychologically, the interviews indicated that heavy use eroded the participants’ sense of autonomy and self-trust. Many users started second-guessing their own judgment. They began seeking the software’s validation for simple decisions, like choosing the right words for a basic email.
The ease of getting quick answers also lowered their intrinsic motivation to learn new things. Without the struggle normally required to master a topic, the learning process felt less rewarding. Some participants even reported anxiety and a sense of paralysis when the software was offline for maintenance.
One participant recalled a time when the system went down, bringing their workflow to a complete halt. “I needed it for a work project, and I felt completely paralyzed without it,” the user shared. “It’s like my safety net is gone.”
The study also uncovered shifts in social behavior. Participants frequently chose to interact with the software instead of discussing ideas with peers or teachers. This preference sometimes led to feelings of social isolation, as users lost the habit of engaging in deep conversations with other people.
A few participants began to treat the text generator as a companion, projecting human traits onto it. “ChatGPT has become my friend; it knows everything about me,” one participant stated. “It’s always there, always ready to listen, and it feels like it understands me better than most people do.”
While this offered temporary comfort, it substituted genuine human connection with a machine response. Relying on an algorithm for emotional support risks blurring the line between technological mediation and true social interaction. Over time, this dynamic can weaken interpersonal skills and empathy.
Despite these negative reports, the study identified a pattern of constructive use. Some users treated the software as a collaborative tool rather than a replacement for their own brains. By allowing the program to handle tedious tasks like structuring data or summarizing dense text, these individuals freed up mental energy for complex reasoning.
They used the tool to brainstorm or overcome writer’s block. Instead of copying what the program generated, they used the output as a starting point to think differently. When used reflectively, the software actually increased users’ confidence and reduced their anxiety about challenging tasks.
Because the research relies on qualitative interviews with a small group of young adults in France, the findings reflect a specific demographic and cannot be broadly generalized. People from older generations or different cultural backgrounds might interact with the software differently. The study also captures user experiences at a single point in time.
It remains unknown whether these cognitive and social habits change over years of use. Future research will need to track larger and more diverse groups over longer periods to see if these patterns persist. Additional studies could also explore how to best train people to use these tools adaptively rather than dependently.
The study, “When AI Thinks for Us: Unveiling the Cognitive and Social Toll of ChatGPT Over-Reliance,” was authored by Zeineb Farhat.
URL: https://www.psypost.org/how-relying-on-chatgpt-affects-human-memory-and-critical-thinking/
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#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #ChatGPTOverreliance #CognitiveOffloading #DigitalLaziness #MentalAutonomy #SocialIsolation #AIImpactOnLearning #IntrinsicMotivation #MemoryRetention #HumanVsMachine #CreativeThinkingWithCaution
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Perfekte Berichte, aber kein echtes Wissen? 🧟♂️ Wie wir verhindern, dass unsere Azubis und Schüler:innen zu “KI-Zombies” werden.
Wenn Lernende das Denken komplett an ChatGPT & Co. auslagern, greift das Cognitive Paradox: Die Effizienz steigt, aber die Kompetenzentwicklung bricht ein (eine aktuelle Studie zeigt sogar eine messbare Learning Penalty). Das Gehirn braucht den Widerstand – das “produktive Ringen” –, um zu lernen.
Wie schaffen wir die Balance? In meinem neuen Beitrag zeige ich, wie Ausbilder:innen KI sinnvoll als Werkzeug (und sokratischen Tutor) einbinden, ohne dass das eigene kritische Denken auf der Strecke bleibt.
Mit praktischen Tipps zum 70-30-Prinzip und KI-Regeln für den Ausbildungsalltag!
📖 Jetzt lesen: https://eldshort.de/j9eml9
#FediLZ #Ausbildung #KünstlicheIntelligenz #KI #Lernen #Bildung #CognitiveOffloading #Medienkompetenz #OER
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Why is it a bad thing to be dependent on LLMs?
For avoidance of doubt I think it clearly is a bad thing. But this is more often assumed than it is stated. After all I’m dependent on Google Maps to navigate, my glasses to see and my phone to remember numbers. These are different forms of technological dependence which I’ve long made my peace with. Whereas the extent to which I use LLMs, even within the limits I’ve defined as responsible use I’m ethically comfortable with, continues to trouble me. A great deal about the politics of LLMs in education hinges on this question of dependence. What are some reasons why dependence might be a bad thing?
- It prevents a user from developing a capability they would otherwise develop.
- It leads to the atrophy of a user’s existing skill by removing occasions for practice.
- It leaves a user dependent on a paid subscription to a large tech firm which is uncomfortable in itself.
- It leaves a user vulnerable to this tech firm raising prices and/or enshittfying their product in response to commercial pressures.
- It removes the imperative for the user to seek out human interlocutors to play the role which the LLM is playing in what is essentially communicative reflexivity.
Once we map out the varied reasons for dependence being problematic, it’s easier to recognise that user-model interaction can be beneficial in the present tense while also storing up significant problems for the future. The relationship of dependence might not be a problem now but there’s a non-trivial chance it will be in the future. The harms are anticipated as much as they are actual and AI criticism looks very different once we allow for that.
(The next book Milan Sturmer and I are writing, sequel to the Platform Learns to Speak, argues there are deeper psychic costs which existing models of dependence cannot adequately account for. But this is a different register of analysis for a different blog post)
#cognitiveOffloading #cognitiveOutsourcing #dependence #LLMs #philosophyOfTechnology #technology -
Generative AI and metacognitive laziness
While I’m sceptical of their experiment research design*, the concept of metacognitive laziness from this paper is clearly a useful contribution to thel literature. As Fan et al define it, this refers to “earners’ dependence on AI assistance, offloading meta – cognitive load and less effectively associating responsible metacognitive processes with learning tasks”. This matters because “offloading metacognitive effort to AI tools results in less effective engagement with essential self-regulatory tasks,” (pg 506). The risk is not just the offloading itself, it is increased passivity in the wider process of which the offloaded tasks are part.
This can undermine self-regulated learning because the metacognitive requirements for doing this effectively (e.g. goal setting, self-monitoring, self-evaluative etc) can be eroded over time by a reliance on the AI to negotiate difficulty. As they summarise the risk on pg 492:
the tendency of learners to become over-reliant on AI poses challenges for hybrid intelligence. This issue aligns with the concept of cognitive offloading, as proposed by Risko and Gilbert (2016), where learners delegate cognitive tasks to external tools to reduce cognitive effort. Although cognitive offloading can be beneficial in managing cognitive load, it may lead to decreased internal cognitive engage- ment over time, ultimately impacting learners’ ability to self-regulate and critically engage with learning material (Risko & Gilbert, 2016). Such cognitive offloading can lead to habitual avoidance of deliberate cognitive effort, a phenomenon echoing the emergence of what we term metacognitive laziness. From a more theoretical perspective, Alter et al. (2007) demonstrated that metacognitive experiences of difficulty or disfluency activate more analytical reasoning processes. When learners encounter situations that challenge their intuition, they are more likely to engage in deliberate analytical thinking (i.e., System 2 processes) (Alter et al., 2007). In the context of GenAI, if learners rely excessively on AI-generated outputs or facilitation, they might not experience the necessary disfluency or cognitive difficulty to trigger these deeper metacognitive processes.
The experience of difficulty activates metacognition. If the students cognitively outsource in increasingly habitual ways, it doesn’t just mean they lose the learning involved in what they are outsourcing. It means they lose their capacity to tolerate difficulty, as well to respond metacognitively to that difficulty. This points to the assumption which many educators have that there is something fundamentally corrosive in how students relate to AI which carries a threat exceeding the particular risks for any one assignment. This is a really sharp conceptualisation of the epistemic risk for learning involved in generative AI which gets beyond some of the limits of the ‘cognitive offloading’ concept.
*It seems fundamentally implausible to operationalise intrinsic motivation in the context of an experimental study. If you reduce motivation into the student’s expressed engagement with discrete tasks then it’s been quite dramatically circumscribed to fit the experimental constructs. Furthermore, we urgently need longitudinal studies in order to make meaningful claims about things like ‘cognitive off-loading’, ‘skill atrophy’ and ‘metacognitive laziness’. These just aren’t things which can be studied adequately at the level of discrete tasks, particularly ones that have been designed by a research team and have no real stakes for participants.
#AI #cognitiveOffloading #cognitiveScience #learning #metacognition #selfDirectedLearning #Thinking -
Good news for the #AI industry. Bad news for everyone else and humanity in general… #GenAI #CognitiveOffloading
RE: https://bsky.app/profile/did:plc:fhnih5ovyd5w5pch254ordo2/post/3mjjw5kk6ck2y -
"Shortening the kill chain” - quicker than “the speed of thought”
"The use of AI tools to enable attacks on Iran heralds a new era of bombing quicker than “the speed of thought”, experts have said, amid fears human decision-makers could be sidelined... Academics say AI is collapsing the time required for military decision-making. >>
https://www.theguardian.com/technology/2026/mar/03/iran-war-heralds-era-of-ai-powered-bombing-quicker-than-speed-of-thought
#technology #AI #ethics #KillChain #FullyAutonomousWeapons #algorithm #CognitiveOffLoading #speed #violence #DecisionMaking #HumanOversight -
thinking about outsourcing memory to AI so I can forget all the hashtags I used to impress a neuroscience major I met once in a coworking space 🧠💾 #CognitiveOffloading #NeuralFlexibility #PleaseHireMe
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Frisch gebloggt, mal wieder zum Thema #KI:
🤖 🤡 KI macht uns nicht dümmer – aber sie macht es uns leichter, uns dumm zu verhalten
Die Diskussion um künstliche Intelligenz kreist meist um Effizienzgewinne, Automatisierung und neue Arbeitsformen oder gar den Verlust derselben. Weniger sichtbar, aber mindestens ebenso bedeutsam, ist eine zweite Ebene: die Frage, wie KI unser #Denken beeinflusst. Ich möchte in diesem Beitrag darlegen, wie wir aktiv gegensteuern können:
1. Zuerst denken, dann KI nutzen
2. KI nach Materialien, nicht nach Lösungen fragen
3. KI als Sparringpartner, nicht als Ghostwriter verwenden
4. Denkprozesse sichtbar machen
5. Qualitätsstandards klar definierenNoch nie konnten wir so schnell Wissen abrufen, und selten war die Gefahr so gross, dass wir dabei weniger verstehen. Mein einfacher, aber zentraler Gedanke dazu: KI kann vieles – aber sie nimmt uns nicht die #Verantwortung ab, selbst zu denken.
https://text.tchncs.de/gisiger/cognitive-offloading-und-ki-warum-wir-unser-denken-schuetzen-mussen
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Toen generatieve AI-toepassingen opkwamen, heb ik regelmatig beweerd dat deze zouden kunnen leiden tot cognitive offloading. Dit zou kunnen bijdragen aan het verlagen van de werkdruk en studiebelasting. Inmiddels waarschuwen deskundigen mede op basis van onderzoek dat cognitive offloading er juist toe kan leiden dat lerenden minder effectief leren. Er moet m.i. ruimte zijn voor meer nuance in deze discussie.#edutoot #onderwijs #cognitiveoffloading #artificialintelligence
https://www.te-learning.nl/blog/is-cognitive-offloading-dankzij-ai-altijd-schadelijk-voor-leren/ -
Warum ich niemals KI nutzen würde, Sie es dennoch im Studium lernen sollten
Absolut sehenswerter Videoessay von Kevin Schumacher (KIT-Bibliothek, HoC-Schreiblabor): https://lnkd.in/dNy2C7gw
#ai #ki #llm #learning #teaching #sustainability #competence #technology #automatization #growth #bias #innovation #writing #cognitiveoffloading #illusionofcompetence #society #ethics #digitaledrecksarbeit #mentalhealth #copyright #unemployment #criticalthinking
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Cognitive Offloading.
I like that term.
AI Tools in Society: Impacts on Cognitive Offloading and the Future of Critical Thinking
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"The proliferation of artificial intelligence (AI) tools has transformed numerous aspects of daily life, yet its impact on critical thinking remains underexplored. This study investigates the relationship between AI tool usage and critical thinking skills, focusing on cognitive offloading as a mediating factor. Utilising a mixed-method approach, we conducted surveys and in-depth interviews with 666 participants across diverse age groups and educational backgrounds. Quantitative data were analysed using ANOVA and correlation analysis, while qualitative insights were obtained through thematic analysis of interview transcripts. The findings revealed a significant negative correlation between frequent AI tool usage and critical thinking abilities, mediated by increased cognitive offloading. Younger participants exhibited higher dependence on AI tools and lower critical thinking scores compared to older participants. Furthermore, higher educational attainment was associated with better critical thinking skills, regardless of AI usage. These results highlight the potential cognitive costs of AI tool reliance, emphasising the need for educational strategies that promote critical engagement with AI technologies. This study contributes to the growing discourse on AI’s cognitive implications, offering practical recommendations for mitigating its adverse effects on critical thinking. The findings underscore the importance of fostering critical thinking in an AI-driven world, making this research essential reading for educators, policymakers, and technologists."