Artificial Intelligence in education has become an increasingly popular topic of discussion in recent times, with an ever-increasing variety of applications being developed to assist with a variety of tasks.
One area that has caught widespread attention is the role of AI in admissions, both in terms of challenges and opportunities. This article seeks to explore this topic in more detail and provide a comprehensive overview of AI’s potential influence on admissions processes.
AI in Admissions – Opportunities
The use of AI in admissions has several advantages, the most significant of which is the likelihood of creating a more consistent and objective selection environment. Given the fact that human beings may be prone to overlooking certain factors or predispositions, the use of an AI algorithm can provide a far more objective selection process.
Additionally, AI can process more data than a human could, making it possible to take into account data that would typically be ignored in a manual selection process.
Another advantage is that it can save time for admissions teams. In a time where colleges and universities receive an increasingly high volume of applications, an AI algorithm can reduce the burden on admissions teams by handling the majority of the initial evaluation.
AI in Admissions – Challenges
Notwithstanding its advantages, AI in admissions comes with a few challenges. Critics question how a machine can rival human judgement in evaluating a candidate’s unique qualities. This presents a significant dilemma, and the AI algorithms used would need to be appropriately trained to ensure that they do not make any bias – conscious or unconscious.
This kind of training would require a vast amount of data inputs to train an AI system accurately, which would be costly. Additionally, students may be less likely to apply if they have concerns about the objectivity or fairness of the selection process.
Another query is the management of sensitive data. If AI algorithms are trained to take into account demographic information or other vulnerable data, this information must be protected. Incorrectly programmed AI algorithms can unintentionally amplify the biases they were meant to minimize.
Closing Thoughts
Artificial Intelligence in education is going to pick up on more roles in the future, including admissions. The role of AI in admissions is subject to much debate, with arguments both for and against its use. It has the potential to create a fairer, more objective, and more efficient selection environment, though it may also pose multiple challenges. For the deployment of AI in admissions to be successful, the technology must be properly regulated, have transparency and accountability, and guarantee the privacy of data.
Ultimately, an AI mechanism should not replace human evaluation; rather, it should work alongside it. Admissions teams must be willing to recognize and engage with some of the commonalities identified by an AI system, but they must not rely to the exclusion of human expertise on these algorithms. AI application in admissions is a promising technology that can yield transformative impacts, only when adopted with cautious consideration.
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