AI-Driven Pedagogy for Personalized Learning

Man-made consciousness (computer-based intelligence) is a quickly creating field that has the ability to essentially modify the manner in which we approach issues, simply decide, and contemplate the world. One area where simulated intelligence is having a significant impact is critical thinking. Despite that, artificial intelligence (AI) still lags behind humans in critical thinking, logical reasoning, and intelligence. Because of its inherent flaws and inability to accurately mimic the complexity of human thought processes, AI is not appropriate for these fields. Insightful rationale and level-headed ideas are utilized to arrive at resolutions through the course of sensible thinking. By giving us new devices and methods for information examination and independent direction, AI is adjusting the manner in which we approach logical reasoning.

However, our approach to decision-making is evolving due to AI. The ability of its algorithms to simultaneously analyze a large number of factors and weigh the benefits and drawbacks of each option allows us to obtain a more complete picture of the decision-making process. Consequently, some decisions may be made that are wise and with a greater economy of means. Because we are relying more and more on machines to make decisions for us, AI is causing the deskilling of humans. Some fear that AI will reinforce prejudices and stereotypes that already exist in society. Due to its algorithms’ use of biased data during development, certain groups of people may continue to experience discrimination. The use of AI algorithms to forecast recidivism rates and allocate resources raises particular concerns in fields like criminal justice as well.

Since its development in recent years has been astounding, there has been much discussion about how it will affect human intelligence. The possibility that AI could adversely impact human intelligence’s capacity for critical thought is one of the biggest worries. It is imperative that we create AI algorithms that are open and accountable in order to address these issues. We need to be able to audit AI algorithms to make sure they aren’t sustaining bias or discrimination, which requires an understanding of how they come to their conclusions.

With the ascent of simulated intelligence, people might become familiar with depending on machines for navigation and critical thinking, which could debilitate their analytical and thinking abilities. Rather than utilizing rational thinking to tackle issues, individuals may just depend on calculations and information created by machines. AI may also cause thoughts to become homogenized, which would stifle originality and diversity of thought. The ability to think creatively and come up with truly original ideas is not something that AI algorithms are capable of. They can analyze vast amounts of data to find patterns and make predictions. Therefore, people risk losing their creative thinking and ability to develop original, cutting-edge solutions to problems if they rely too heavily on AI-generated solutions.

Similarly, one concern is that AI could sustain existing predispositions and build up biases in certain directions. Man-made intelligence calculations are as unbiased as the data they appear to be based on, and if this data is biased, the calculations’ conclusions will reflect these biases. Assuming people depend on man-made intelligence to create choices without fundamentally assessing them, they might propagate existing inclinations and biases, further digging into friendly disparities. The fact is that a growing knowledge gap between those who have access to technology and those who do not can also result from the rapid pace of technological advancement, making it challenging for humans to keep up with advancements in AI. Due to potential disadvantages for those without access to AI technology in terms of critical thinking and decision-making, this knowledge gap may worsen social inequalities.

What can we do, then, to lessen the harm that AI is doing to our capacity for critical thought? Prioritizing education and training in critical thinking is one way to ensure that people have the abilities necessary to assess and make decisions based on AI-generated outputs. People could be taught to critically assess the data used to train AI algorithms and to comprehend the limitations of AI-generated solutions as part of this. Likewise, it is important to create transparent and fair AI decision-making frameworks. Notably, AI’s inability to comprehend context and nuance is one of its limitations. The nuances of language and the context in which it is used can be understood by humans. Therefore, humans are able to distinguish between sincerity and sarcasm, for instance, whereas AI finds it difficult to do so. AI also lacks empathy, a skill necessary for comprehending human behavior and emotions.

Additionally, AI is unable to gain knowledge from experience in the same way humans do. An essential part of critical thinking and problem-solving is the ability to identify patterns and predict outcomes based on prior knowledge. AI, on the other hand, depends on a lot of data and statistical models, which can be constructive in terms of their capacity to make precise predictions and judgments. Because of its reliance on algorithms, AI is ineffective for logical reasoning and critical thinking, among other things. Since AI algorithms are created to adhere to a set of predefined rules and instructions, they are only able to think within the confines of their programming. Although this method may be effective for straightforward tasks, complex decision-making processes do not lend themselves to it.

Nadir Ali
Nadir Ali
Nadir Ali is associated with the Institute of Strategic Studies Islamabad (ISSI). He has written for Pakistan Today, Pakistan Observer, Global Affairs, and numerous other publishers. He tweets at @hafiznadirali7 and can be reached at hafiznadirali7[at]