Algo-rithms used by AI systems can create echo chambers by recommending content that alignswith users’ existing beliefs, thereby reducing exposure to contrasting viewpoints.
Confirmation Bias.
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- Nov 2025
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www.mdpi.com www.mdpi.com
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This ‘black box’ problem can reduce critical engagement andaccountability, as individuals may blindly trust AI recommendations without questioningor evaluating them [ 20].
Same point as the conversation article, as often these AIs are used as the be-all end-all of decision-making despite having the ability to make mistakes as well.
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When AI tools takeover these tasks, individuals may become less proficient in developing and applying theirown problem-solving strategies, leading to a decline in cognitive flexibility and creativity.
Similar to the piece by the conversation about the erosion of creativity and critical thinking skills.
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Paul and Elder [12] describe it as the art ofanalysing and improving thinking, focusing on intellectual standards such as clarity, accu-racy, and logic
Critical thinking is similar to an art, as it requires the creativity of the mind to apply itself similar to a canvas of a painter.
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The advent of artificial intelligence (AI) has revolutionised various aspects of modernlife, from healthcare and finance to entertainment and education.
AI has affected all aspects of life to great degree, especially in terms of work and other aspects of society regarding the workplace and job market.
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However, alongsidethese benefits, there is growing concern about the potential cognitive and social impacts ofAI on human users, particularly regarding critical thinking skills.
AI limits and stops the application of human expertise and ability which often lowers the amount of critical thinking and creativity of these workers.
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AI tools can enhance learningoutcomes by providing personalised instruction and immediate feedback, thus supportingskill acquisition and knowledge retention [ 2 ,3]. However, growing evidence shows thatover-reliance on these tools can lead to cognitive offloading
With things like ChatGPT and other gen AI, it is causing the average person to think and apply themselves less and less which is lowering our abilities and stopping us from reaching our potential.
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The advent of artificial intelligence (AI) has revolutionised various aspects of modernlife, from healthcare and finance to entertainment and education.
AI has affected all aspects of life to great degree, especially in terms of work and other aspects of society regarding the workplace and job market.
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Algo-rithms used by AI systems can create echo chambers by recommending content that alignswith users’ existing beliefs, thereby reducing exposure to contrasting viewpoints.
Confirmation Bias.
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This ‘black box’ problem can reduce critical engagement andaccountability, as individuals may blindly trust AI recommendations without questioningor evaluating them [ 20].
Same point as the conversation article, as often these AIs are used as the be-all end-all of decision-making despite having the ability to make mistakes as well.
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When AI tools takeover these tasks, individuals may become less proficient in developing and applying theirown problem-solving strategies, leading to a decline in cognitive flexibility and creativity.
Similar to the piece by the conversation about the erosion of creativity and critical thinking skills.
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Paul and Elder [12] describe it as the art ofanalysing and improving thinking, focusing on intellectual standards such as clarity, accu-racy, and logic
Critical thinking is similar to an art, as it requires the creativity of the mind to apply itself similar to a canvas of a painter.
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AI tools can enhance learningoutcomes by providing personalised instruction and immediate feedback, thus supportingskill acquisition and knowledge retention [ 2 ,3]. However, growing evidence shows thatover-reliance on these tools can lead to cognitive offloading
With things like ChatGPT and other gen AI, it is causing the average person to think and apply themselves less and less which is lowering our abilities and stopping us from reaching our potential.
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However, alongsidethese benefits, there is growing concern about the potential cognitive and social impacts ofAI on human users, particularly regarding critical thinking skills.
AI limits and stops the application of human expertise and ability which often lowers the amount of critical thinking and creativity of these workers.
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docdrop.org docdrop.org
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Finally, the findings suggest that digital-AI transformation exerts a dual effect on employees, which may be closely related to industry-specific contexts.
Depending on both the worker and the job/company, this integration of AI could make or break the employee's ability to adapt or find a new job.
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Employees with prior digital transformation experience are more likely to view digital-AI transformation as an opportunity to gain new resources.
Older employees with less experience with AI, such as workers aged 40 and above, would have much harder times finding jobs or adapting.
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Digital-AI transformation can be perceived by employees as either a threat or an opportunity.
Back to the double-edged sword metaphor, if used poorly, it can very negatively affect workers, but if used correctly, it can boost both workers and company performance.
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Simultaneously, employees face the need to acquire new skills and tools in response to the challenges of digital-AI transformation; however, mastering these skills in a short time proves challenging, often resulting in elevated psychological stress, frustration, and job insecurity (Rangrez et al., 2022; Wang and Wang, 2022).
AI threatens many jobs in the market, which can cause people to pick up more skills and attempt to adapt, but those who cannot may lose their jobs and not be able to recover or adapt.
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According to a 2023 survey conducted by the large U.S.-based job site Resume Builder (2023), 49% of companies report using ChatGPT, with 93% indicating plans to expand their use of chatbots.
AI is the future, and we have to learn to adapt, but also how to apply it to the workplace effectively to have it move us forward rather than hinder us.
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docdrop.org docdrop.org
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These deviations were not random but system-atically biased toward downgrades and underpayment.
AI willingly was deviating from the information it was given, being harsher intentionally despite being trained by human responses.
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Second,our participant sample consisted of Minecraft players, whowere predominantly male (70%) and relatively young (meanage = 26, SD = 6.2), potentially limiting generalizability tomore diverse labor populations.
Clear flaw in the experiment that they acknowledge would affect the outcome.
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Our results are not good news. The very features thatmake AI systems appear impartial can also make thempowerful instruments of silent exploitation, leading work-ers to accept downgraded evaluations and lower pay with-out protest.
AI can be very problematic in the workplace, as it can exploit human workers, as AI may not be able to comprehend the experiences and feelings of a human.
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Here we show that an AI management system trainedon human-defined evaluation principles evaluated workerperformance more harshly than human managers, assign-ing lower scores than workers expect based on their self-assessment, and reduced wages by 40% compared to humanmanagement
Potential evidence of a trait of AI being that it is harsher or aggressive (possibly not true, as humans recognize it is a game)
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In large e-commerce firms like Amazon, algorithmic management useswearable devices to track location and movements, creatinghigh-resolution depictions of worker activity in the physi-cal world
Effective use of AI, as it still includes human touch, but with the collaboration of AI to enhance it.
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In online customer service centers, AI pro-grams monitor calls, screen activities, and keystrokes to as-sess worker performance
Common uses for AI in the workplace are for more time-consuming or less mentally demanding tasks, which is why AI often takes the jobs of the less creative positions.
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docdrop.org docdrop.org
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AI, as a powerful tool, has demonstrated its potential in significantly increasing companies' labour productivity. Studies by Anantrasirichai & Bull (2022)and others have shown that AI-powered automation of repetitive tasks and workflows allows employees to focus on higher-value activities.
But causes those same employees to begin to rely on this AI so much that they begin to lose the skills they required to get the job in the first place.
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- Oct 2025
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docdrop.org docdrop.org
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hysicians should view AI as a decision-support tool, not a replacement, preserving clinical judgment in decision-making.
Physicians should not blindly listen to AI, as they went to school for a reason. It should be an addition to your present intellect and knowledge on the situation, not your replacement.
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the negative impacts gradually emerged and intensi-fied over subsequent months.
Over time, the AI has hurt the efficiency and work being done in the hospital. This could be due to the change in habit, but most likely due to the addition of AI specifically.
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Prioritize AI for complex/high-risk cases to ensure quality, while limiting AI for routine cases to preserve efficiency.
With a plan like this, they can maintain efficiency along with accuracy of solutions as AI can be used for the more mentally taxing or demanding tasks, which allows for more doctors to focus on other tasks.
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After controlling for fixed effect of requesting departments, we discovered that after the introduction of AI, the average number of chest CT reports processed daily by the CT department significantly decreased by approximately 4.3%
AI is not always necessarily a fix for a problem in the workplace, especially where people's lives are on the line.
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Growing evidence indicates patient demand for such documentation to facilitate self-management and shared decision-making
Even some patients would rather have AI helping the doctor, just showing how far we have gone in trusting AI.
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For instance, some studies have indicated that after collaborating with AI, the efficiency of produc-ing diagnostic reports improved by 20.7% for junior doc-tors and 18.8% for senior doctors, with less experienced junior doctors benefiting more from AI assistance (Wei et al., 2022).
Collaboration allows for growth and advancement for both the worker and the AI.
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For example, AI can scan hundreds of medical images and identify potential disease risks within minutes (Ardila et al., 2019), provid-ing recommendations that are comparable to those of experts (McKinney et al., 2020), thereby directly improv-ing the overall efficiency of the healthcare system.
AI is incredibly powerful and intelligent when applied properly, able to find potential solutions to diseases without cures, which could be really useful, but also really concerning that it can do something like that so easily.
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These factors may sustain efficiency-quality trade-offs in physician-AI collaboration.
Despite AI having complete access to all of the internet, it is still limited in its capabilities and access, which is where humans come in to work with AI rather than one or the other.
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AI’s emergence in medicine offers potential solutions to the efficiency-quality trade-off.
AI allows for the existence of both efficiency and quality, which could drastically change health care and other components of life.
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Neuroscience studies demonstrate this divergence, showing distinct brain activation patterns when patients receive identical personalized conversations from AI ver-sus human providers (Yun et al., 2021).
Another important thing to note is that AI cannot connect and interact with another person as humans can with each other.
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For instance, AI demonstrates dermato-logical diagnostic accuracy through image analysis that matches or exceeds board-certified dermatologists (Leachman & Merlino, 2017).
AI can be greater and smarter than humans, but with the drawback of also making mistakes that it must learn from first to not make again.
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AI’s advanced capacity to process medical data, text, images, and biological information has led to increasingly diverse and widespread healthcare applica-tions.
AI has a great ability and range of applications as it can be used for such a wide variety of things effectively, especially in healthcare.
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However, most studies conceptual-ize efficiency and quality as isolated dimensions, rarely examining how AI assistance affects both dimensions simultaneously.
People are not being brought to the light about how AI is negatively affecting the workplace, as AI has been glorified as this sort of do-no-wrong type of machine that can help you do what you need to get done with no drawbacks.
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Therefore, this study redirects scholarly attention from patient to physician behaviors, systematically examining AI’s effects on both workflow efficiency and clinical quality.
The topic of the article along with the effects of AI in the workplace, along with clinical quality.
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docdrop.org docdrop.org
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What if your biggest competitive asset is not how fast AI helps you work, but how well you question what it produces?
The idea that AI isn't all-knowing, but rather we should doubt it and apply ourselves as it was made by humans after all.
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Continuous engagement with AI-generated content leads workers to second-guess their instincts and over-rely on AI guidance, often without realizing it.
Continuation of my previous point that AI is simply becoming problematic as we further its use and advancement.
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One recent study found that in 40 per cent of tasks, knowledge workers —those who turn information into decisions or deliverables, like writers, analysts and designers —accepted AI outputs uncriticallywith zero scrutiny.
If the workers accept the word of AI blindly, then the owners also accept the word of what the workers gave them, we will be in a world completely run by AI.
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“automation bias.”
The human tendency of over-reliance or blindly rely on the word or suggestion of an automated machine.
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One study found that users have a tendency to follow AI advice even when it contradicts their own judgment, resulting in a decline in confidence and autonomous decision-making.
This is concerning, as the only thing we believe we can trust, we go against constantly because a chatbot or AI tells us otherwise.
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Such shifts can affect how people make decisions, calibrate trust and maintain psychological safety in AI-mediated environments.
AI is far stronger than we realize, even affecting humans on a psychological level, weakening our abilities to think critically, making us more dependent on the AI, and making us lazier.
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Workers can end up deferring to AI as an authority despite its lack of lived experience, moral reasoning or contextual understanding.
Just more of automation bias, as they would take AI as authority and omnipotent.
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One recent emerging studytracked professionals’ brain activity over four months and found that ChatGPT users exhibited 55 per cent less neural connectivity compared to those working unassisted. They struggled to remember the essays they just co-authored moments later, as well reduced creative engagement.
Even the act of using AI consistently is actively weakening the neural connectivity of the brain.
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AI-generated outputs appear fluent and objective, they can be accepted uncritically, creating an inflated sense of confidenceand a dangerous illusion of competence.
Essentially, automation bias as we believe it blindly without thought.
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Resilience has become something of a corporate buzzword, but genuine resilience can help organizations adapt to AI.
We need to resist AI in a sort of way, as if we do not, it will eventually be our downfall.
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As we are starting to see, the drive for efficiency will not decide which firms are most successful; the ability to interpret and critically assess AI outputs will.
This is how to truly use AI for good in the workplace, maximizing its abilities and usage.
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As researchers who study AI, psychology, human-computer interaction and ethics, we are deeply concerned with the hidden effects and consequences of AI use.
Time and time again, AI is being perceived as a potential threat to mankind. The fact that we continue to pursue it could be our downfall, the vaulting ambition of our race.
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If people don’t set these defaults, tools like AI will instead.
Incredibly short yet powerful on how AI will impact the job market and the lives of workers.
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Most organizational strategies focus on AI’s short-term efficiencies, such as automation, speed and cost saving.
Companies, despite using AI for many minimal tasks, are not looking at the big picture as to how AI could be applied to more difficult and advanced tasks, whether it be drug synthesis or ideas for marketing.
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But in the rush to adopt AI, some organizations are overlooking the real impact it can have on workers and company culture.
AI is impacting all of us immensely, both visibly and invisibly, from taking jobs from citizens to creating new jobs for others.
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