Cognition in the plays of Artificial Intelligence

Abstract 

Artificial Intelligence has now made itself so concurrent in today’s times, that a world without it just seems impossible. There is an influx of artificial intelligence which can be put to use now available in the market. It is now capable of performing tasks that we earlier thought was demanding for us. Many people today rely mostly on their cell phones or other technical devices to operate their daily lives, as well as for learning and employment.  For instance, cellphones measure and examine variations in the temperature as well as save and constantly update pertinent data including records on their accounts and services.  By spreading the demands of work into their surroundings, this AI-supported offloading of cognitive functions also saves people's own cognitive resources. In this essay, we look into the benefits and limitations of relegating so many of our tasks to softwares such as artificial intelligence.

Keywords: artificial intelligence, cognitive processes, benefits, limitations, offloading

Artificial Intelligence

The extensive and rapid adoption of artificial intelligence (AI) in all sorts of organisational operations needs ethical and responsible technology deployment. Various national and international rules, legislation, and recommendations are aimed at addressing this issue, and various organisations have established frameworks outlining the concepts of responsible AI. However, there is a lack of knowledge of how such ideas might be used in the design, execution, monitoring, and evaluation of AI systems.

Methodology 

              Combing through research papers present on sites such as PubMed, ResearchGate and Google Scholar to come up with a discussion aided with previous research findings about the concurrent usage of artificial intelligence in today’s world.

The use of artificial intelligence

The whole invention of generative AI and technology was introduced for critical analysis and to ease the loads of cognitive tasks that were imposed on humans during the World Wars. This is now introduced through the paper titled, "Generative AI for Critical Analysis: Practical Tools, Cognitive Offloading, and Human Agency."

However, the balance of AI aid to response and autonomous systems in inventions should always emphasize the need to balance the feeling of one's agency with the idea of relying on AI. According to Shum (2024), such a system is however capable of providing the tools which might be necessary for the critical examination, but on the other hand, it runs the risk of cognitive offloading that is too much and may lead to even more adverse effects that were not required.The realisation of AI's potential to advance human performance can be achieved only if the human factor is the central driver in the process. One of the ways to bring this subtle balance into existence is to ensure that technology serves the human end.

Risks of learner overreliance on the summaries, question prompts, and general learning platforms generated by AI become obvious when these are limited in detail and scope of development with the help of human teachers. The survey argues that students who accept AI-produced answers without engagement by technology may struggle with in-depth reasoning and independence of thought. The writers of the paper affirm that deep integration of AI i.e., smart machine learning and transhumanist techniques should be pursued only after careful consideration of the issues. They also add that it must be used as a complementary, not the substitute of individual thinking. To that end, they propose solutions such as teacher-supervised computer usage or creating problem-based learning environments that emphasize critical evaluation as well as an effort toward skill development through making.

Lawasi in his paper titled, "The Use of AI in Improving Students' Critical Thinking Skills" dissects how AI tools could aid students in developing critical thinking. AI can be a great learning tool in the hands of students assigned to improve their cognitive, critical thinking, and problem-solving skills if they do it actively while trying to make cognitive connections in a deep way rather than the traditional way of passive interaction with AI-generated content. 

The writer insists on the fact that AI has the power to introduce a multitude of perspectives on one topic, thus permitting the students to be flexible in their perception. Students must weigh and question AI's responses critically and not always trust them without reasoning. What has to be noted is that over-relying on AI tools may result in students' weak independent critical reflection and slightly demote its application in the educational process. The knowledge AI provides might help students in their reasoning and lead them to different arguments they have not thought of yet. Educators are interested in the integration of AI into the teaching of cognitive skills such as problem-solving and logical reasoning. 

Nevertheless, we must keep in mind the fact that AI is also a source of misinformation and biased information, therefore using fact-checking skills is a must. The benefits of using AI technology in discussions and meetings are that AI is effective in argument structure development and processing the ideas of the students to a logical conclusion. The study suggests that AI should be seen as a complementary factor to human critical thinking rather than a substitute.

The article titled 'How AI Can Be Used to Enhance Cognitive Functions, Such as Memory or Problem-Solving' by Haider is based on the possibility that artificial intelligence increases our cognitive abilities with a special stress on memory and problem-solving skills. The results say that AI-guided exploring can actually improve not only short-term but also long-term memory, yet it may lead to a lack of imagination and work motivation as well. In particular, gains in memorizing tips were pointing to a substantial increase in both short-term memory, 22.4 to 29.8, and long-term memory, 23.5 to 28.6. The research noted a minor decline in creativity, prompting concerns regarding AI's influence on original thought processes. Students who heavily depended on AI for problem-solving exhibited diminished motivation and work ethic. Although AI-assisted learning can enhance efficiency, it may also hinder deep engagement with intricate problems. The AI support of memory enhancement was linked with methods like spaced repetition and automatic summaries. Trade-offs at a cognitive level existed, whereby there was a decrease in creative processing with corresponding recall gains. There is the downfall of creativity through AI as AI tends to make routine solution propositions, limiting possible divergent thought opportunities. Use of AI as a complementary input to support learning is advisable but not as an outright replacement.

In the article titled ‘Role of AI and Bio-Inspired Computing in Decision Making,’ Paneerselvam examines the ways in which artificial intelligence (AI) and bio-inspired computing facilitate decision-making through enhanced data analysis and optimization techniques.

However, he advises that AI rarely succeeds in reproducing humanlike intuition, especially so for situations that feature complexity, doubt, and normative uncertainty. AI assists with decision-making in that it offers data-driven reasoning that improves the accuracy and productivity of decisions. Nevertheless, lacking the ability to mimic human intuition makes it ineffectual under circumstances that depend on subjective considerations or emotional discretion. By pattern recognition and forecasting modelling, AI can automate predictable decision-making sequences. 

A major shortcoming is still its limited capability in ethical thinking since AI has difficulties in coping with moral conflicts exhaustively. The best outcomes are achieved with hybrid decision-making approaches where human thinking and AI capabilities are combined. Bio-inspired computing methods like neural networks and genetic algorithms add more resilience to the decision-making capability of AI. Over-reliance on AI can erode human critical thinking ability and decrease adaptability in decision-making situations. This also could result in the manipulability of human thoughts and feelings based on AI inputs. Changes in the future in cognitive computing and the explainability of AI systems could reduce some of the threats to intuitive decision-making.

The study titled ‘On the Way to Hybrid Intelligence: Influence of the Human-System Interaction Rate on Cognitive Performance’ investigates the impact of frequent interactions with artificial intelligence on human cognitive abilities. The findings indicate that an overdependence on AI interactions can result in cognitive overload and physiological stress, which may adversely affect long-term cognitive health. Even if AI helps maximize efficiency in performing tasks, excessive use of such systems results in higher levels of stress and tiredness over a period. Frequent interaction by users with AI without sufficient breaks can lead to memory and focus declines. Extended use of AI for decision-making purposes also gives rise to decision fatigue. Continuous use of AI for cognitive functions is related to increased physiological stress indicators. 

Hence, it is important to plan AI-based workflows with definite interaction thresholds to prevent overload. AI utilization without control or proper cognitive rest could lead to burnout and reduced problem-solving ability. Applying adaptable AI models with adjustments in interaction rates based on user fatigue might improve cognitive health as well as limit the usage of AI. It is recommended to create customized AI interactions that supplement human decision-making instead of overshadowing it or else it will become a manipulative element in cognition.

Opinions on the above papers

An examination of the research presented in the aforementioned papers reveals a recurring theme in the recommendations: artificial intelligence (AI) should be employed in a systematic manner rather than serving as a complete substitute for human cognitive processes. Although AI can reduce cognitive overload, its overuse has led to a sharp reduction in creativity in human activities.

The main mission of artificial intelligence is to make people's lives easier by doing their work instead of replacing them completely. With this increasing reliance on AI, barriers are being created against cognitive abilities that might become non-overcome very shortly. Recent research explored both the positive and negative dimensions that AI creates for cognitive capabilities such as thinking critically, recalling, creativity, and solving. While AI offers methods that can enrich cognitive processes, it also creates threats like cognitive overload, dependence, and diminution of creative output.

Based on the comparison of the five cognition studies, several conclusions about cognition's interaction with artificial intelligence may be derived. The study done by Lawasi and Çela gives opposing opinions on how to use artificial intelligence. Lawasi et al. argue that critical thinking can be improved through the use of AI to expand people's outlook and make their thinking richer, with the thought that users view critically the products of AI content. Artificial intelligence can enable a more in-depth analysis by the provision of counterarguments, organization of reasons, and establishment of different perspectives. This advantage is only realized depending on how AI is adopted and used. If students only passively receive information provided by artificial intelligence, they will lose their ideas and thinking processes.

In contrast, Çela's study (2024) underscores the dangers associated with an overreliance on artificial intelligence, identifying a negative correlation between AI usage and problem-solving abilities.When students use AI to do their assignments and address challenging reasoning problems, their ability to analyze, evaluate, and come up with solutions on their own is compromised. This makes one question the intellectual independence of students and the consequences of having artificial intelligence be a major factor in their learning experiences.

Nations like France and the United States are attempting to install first-rate artificial intelligence or generative AI detectors to prevent the unwarranted plagiarism that it generates, which the students unknowingly commit and dissuade the students from utilizing it and instead utilize their own creative abilities.

Both the papers integrate their own thought processes and why they think or do not agree with the usage of artificial intelligence in the scholarly community. Though, due to the easy circulation, it is now even more widely used.

But one should also look at the plus points. Reading research and accessing them has never been easier. Now instead of manually inputting and then going through the entire thing, one by one, a single command into the generative AI brings about thousands of papers, all summarized.

Both viewpoints hold merit, and the essential conclusion is that artificial intelligence should complement, rather than supplant, human critical thinking. AI has the potential to offer valuable insights; however, it is imperative for users to maintain a critical stance, interrogate the content produced by AI, and enhance their analytical skills. Educators hence should try to integrate the use of artificial intelligence in the work and encourage students to use it to acquire and summarize the vast well of knowledge that is now available at the tip of their fingers, only a few commands required. They should encourage students to assess, analyze, and improve AI-generated responses, thereby ensuring that artificial intelligence functions as a tool for enhancing critical thinking rather than merely providing an easy solution.

The research conducted by Haider et al. (2024) provides substantial evidence indicating that artificial intelligence (AI) can significantly improve memory performance.Their findings show that utilization of AI-based tools caused enhanced short-term memory scores to increase from 22.4 to 29.8 and long-term memory scores to move from 23.5 to 28.6. Techniques such as AI-based spaced repetition, summarizing, and programmed recall were among the techniques reported to be predominant in causing enhancement in retention as well as in learning performance.

Conversely, the research also identified a slight decrease in creativity among those students who employ AI assistance. This discovery has implications of possible cognitive trade-off; whereas the AI appears to improve memory recollection, at the same time it may be decreasing the motivation for creative thought. This finding is in accordance with the remarks of Çela et al., who observed that over-reliance on AI may create a passive learning atmosphere, where individuals are reduced to mere consumers of information produced by AI instead of being active producers of creative ideas.

AI’s use in increasing memory in undisputable, taking it from Haider et al’s research and yet the question strikes-whether it is important to give up creativity for the sake of memory increment. The provision of structured and pre-processed knowledge by artificial intelligence may diminish users' inclination to independently synthesize ideas. One possible solution is the adoption of hybrid learning methods where AI aids in memory for retention and human-led activities complement creativity, discovery-oriented learning, and problem-solving abilities. Hence, AI has to be used as a tool for the development of memory rather than as an agent replacing true cognitive processes done by human beings.

Paneerselvam's (2019) investigation serves to prove the crucial role that artificial intelligence, bio-inspired computing, and developmental computing are playing in improving decision-support systems via optimizing structure data-driven decisions. Integrating AI will be essential in tasks like pattern recognition, predictive analysis, and risk estimation; they are always required in the business world, especially in finance, logistics, and health. Intuitive, ethical, and emotionally charged decision-making spaces cannot be negotiated using artificial intelligence; it's too human for them.

The great supply of excessive contact with AI causes cognitive overload and physiological stress, says Burov et al. (2023), as summarized in their article on the adverse consequences of prolonged exposure to AI. It leads to cognitive overload from lengthy AI use-sized relationships in impaired performance that may play upon future issues of cognition-free and stress.

The time has come to operate with human imagination, human thoughts, and artificial intelligence in our living world. AI takes care of analyzing and synthesizing data. Nonetheless, this is just the first part of the process wherein the actual judgment values, ethics, and context demand human input into decision-making. Too much dependence on AI for making decisions sensitive, such as in healthcare and criminal justice might lead to algorithmic bias, ethical failures, and dependence on suggestions made by AI. Therefore, companies should put in place policies that will promote collaboration between AI and human beings to maximize the advantages of AI while maintaining satisfactory input on core human judgment and ethical evaluations.

The most troublesome part of Burov's paper is that frequent exposure to AI creates cognitive overload and physical stress. With greater integration of AI into our daily lives,   the continuous flux of information from AI can tend to fatigue cognitive resources.

To block the cognitive overload, Artificial Intelligence Stepper must become personalized, adaptive, and contextually aware. Smart AI systems must learn how to begin interactivity according to the user's normal work capabilities rather than constantly bombarding them with streams of AI information.  The purpose of the AI should be to support, not interfere, and it should only supply information when necessary, not requiring constant attention. This approach is in line with the new area of hybrid intelligence, wherein AI is developed to operate within human cognitive capabilities and not exert strict operational frameworks.

Conclusion

Some conclusions need to be drawn by the reviews on the very opposite dimensions of the use of artificial intelligence, which should be presented and summarized as follows.

• AI should be viewed as a partner, not a replacement for talent.

• It is important for users to analyze output from AI and further scrutinize it before accepting it.

• AI's empowerment of memory needs to work in conjunction with state-of-the-art learning techniques so as to ensure that it doesn't create dependence.

• Decision-making frameworks should bound analytical fires of AI with human intuition and ethical consideration.

• Besides, interactions with AI should be managed without directly saying so so that cognitive overload and fatigue in mental faculties would be avoided.

AI will continue to play a prominent role in the world, getting even better at it. The development of artificial intelligence is never-ending and its impact relies on the course of our actions in putting it into practice; by creating AI systems that respect human levels of cognition, sustain independent thinking, and ignite ingenuity, we can allow it to grow into an important tool for blossoming intelligence.

While AI decides our thoughts and emotions, it steadily chugs us in a more sombre ballpark, where everybody apparently thinks when AI orders things. The advent of hybrid intelligence depends on building collaborative systems that would combine artificial intelligence with human powers-towing AI's powerful computational strengths with distinctly human reasoning, intuition, and creativity.

It is also important to note that artificial intelligence will only grow and improve with the years because humans will become more technologically advanced, dream bigger dreams but it is important to not lose oneself in this rat race. Artificial technology is present to guide us and not completely take over our minds, it is supposed to help in easing up the pressure on our cognition and not completely take away the process that is present.

REFERENCES

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2. Papagiannidis, E., Mikalef, P., & Conboy, K. (2025). Responsible artificial intelligence governance: A review and research framework. The Journal of Strategic Information Systems, 34(2), 101885. https://www.sciencedirect.com/science/article/pii/S0963868724000672

3. Lawasi, M. C., Rohman, V. A., & Shoreamanis, M. (2024). The Use of AI in Improving Student’s Critical Thinking Skills. Proceedings Series on Social Sciences & Humanities, 18, 366-370. https://conferenceproceedings.ump.ac.id/pssh/article/view/1279/1352

4. Çela, E., Fonkam, M. M., & Potluri, R. M. (2024). Risks of AI-assisted learning on student critical thinking: a case study of Albania. International Journal of Risk and Contingency Management (IJRCM), 12(1), 1-19. https://www.igi-global.com/article/risks-of-ai-assisted-learning-on-student-critical-thinking/350185

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6. Haider, Z., Zummer, A., Waheed, A., & Abuzar, M. (2024). Study how AI can be used to enhance cognitive functions, such as memory or problem-solving, and the psychological effects of these enhancements. Bulletin of Business and Economics (BBE), 13(3), 256-263. https://bbejournal.com/BBE/article/view/992

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