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Artificial intelligence is getting a lot of attention, to say the least. ChatGPT, an AI chatbot, has sparked excitement and discussion about which jobs and activities could be automated—including college admissions.

Colleges are now using AI to do many tasks easily and quickly. Chatbots help answer student questions about classes or their well-being. AI sends emails to remind students of due dates, class registration, and payments.

College leaders have realized AI can do more than just basic communication. They’re using it to tackle ongoing problems, such as increasing enrollment, retaining students, and helping with financial aid.

However, there are also ethical concerns about using AI, as some worry it can threaten personal privacy and be vulnerable to bias.

Learn more about how AI can be used in college admissions and the benefits and disadvantages of using this new technology.

Introduction to AI in college admissions

Artificial Intelligence, or AI, is rapidly making its way into many areas of our lives, and college admissions are no exception.

In the realm of college admissions, AI refers to using computer systems to mimic human thinking to manage and process applications more efficiently.

This technology blends computer science, data analysis, and specific admissions criteria to help colleges make more informed decisions about applicants.

The objective is to create systems that can perform tasks that typically require human intellect—such as recognizing patterns, understanding language, solving problems, and making decisions.

From sorting through thousands of applications to answering applicant queries in real-time, AI is reshaping the college admissions landscape.

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What are the benefits of AI?

AI has the potential to significantly transform the college admissions process, just as it is changing many other areas of society.

Automated essay scanning

Colleges that receive thousands of applications can use AI to analyze student essays, looking for signs of authenticity, passion, and other characteristics that colleges value.

This doesn’t mean they would remove humans from the equation entirely, but initial scans might help admissions officers focus on particular applications.

Standardized test preparation

AI-driven tutoring platforms can provide personalized study plans for students, helping them to prepare more effectively for standardized tests like the SAT or ACT.

Predictive analytics

By analyzing the past performance of admitted students, AI can help colleges predict which applicants are likely to succeed at their institution.

This would be based on various factors, including academic achievements, extracurricular activities, personal essays, etc.

Enrollment predictions

By analyzing past data and current application trends, AI can help institutions predict enrollment numbers, aiding in resource and class planning.

Video interviews

AI could analyze video interviews, looking at body language, speech patterns, and other indicators to gauge an applicant’s fit and authenticity.


AI-powered chatbots can answer prospective student’s questions in real-time on university websites, guiding them through application processes, deadlines, requirements, and more.

Fraud detection

AI can be used to identify potential instances of application fraud, such as plagiarized essays or falsified records.

Efficiency and cost saving

Automating certain aspects of the admissions process can result in time and cost savings for institutions.

By leveraging these tools, colleges can make the admissions process more efficient, informed, and personalized.

However, using AI responsibly is crucial, ensuring fairness and transparency.

What are the disadvantages of using AI?

While there are many benefits, using AI for college admissions presents some challenges and disadvantages.

Bias and discrimination

If the AI is trained on biased historical data, it can perpetuate or exacerbate existing biases. For instance, if past admissions favored specific demographics, an AI might continue that trend.

Loss of human touch

Admissions often require understanding a student’s personal context, struggles, and non-quantifiable attributes. AI might overlook these nuances that a human would appreciate.


Institutions might depend too much on AI, potentially overlooking candidates who might have been excellent fits but didn’t meet the AI’s specific criteria.

Inaccuracy and mistakes

No system is infallible. AI might sometimes make errors, misinterpret data, or fail to detect nuances in application materials.

Data privacy issues

Using AI typically requires collecting and processing vast amounts of data, which raises concerns about student data privacy and potential misuse.

Maintenance and updates

AI models need to be regularly updated to reflect changing admission criteria and societal values. This requires continuous oversight and can be resource-intensive.

Security concerns

Malicious actors can target AI systems to change admission outcomes or access sensitive data.

Considering these disadvantages, institutions must balance leveraging AI’s efficiency and maintaining the personal, human touch crucial for holistic college admissions.

How College Benefits Research Group can help you

No matter how AI changes college admissions processes, The College Benefits Research Group (of humans) remains a valuable resource for students, parents, educators, and institutions.

Some of the ways that we can assist you include:

  • Finding the college of your dreams
  • Guidance through the financial aid process
  • Scholarship information
  • Appeal support
  • Tailored solutions
  • Networking opportunities
  • Career guidance
  • Understanding trends, such as AI
  • Timely updates and support

Reaching out to the College Benefits Research Group can significantly ease the complexities of the college journey, ensuring that you have the knowledge and resources to make the most of your higher education experience.

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