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  <front>
    <journal-meta>
      <journal-title-group>
        <journal-title>S. Adhikesaven) ifcation, hand-written characters can be identified, and</journal-title>
      </journal-title-group>
    </journal-meta>
    <article-meta>
      <title-group>
        <article-title>Artificial Intelligence is Transforming Modern Education</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Sanjay Adhikesaven</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Monish Muralicharan</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Abyan Das</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Foothill High School</institution>
          ,
          <addr-line>4375 Foothill Rd, Pleasanton, CA 94588</addr-line>
          ,
          <country country="US">USA</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2023</year>
      </pub-date>
      <volume>000</volume>
      <fpage>0</fpage>
      <lpage>0003</lpage>
      <abstract>
        <p>Artificial Intelligence (AI) has a pivotal role in many K-12 educational systems, providing benefits for both students and teachers. We analyze diferent viewpoints on whether AI in education is socially responsible. To best utilize AI's potential and ensure responsible use, it is key for governments to implement policies conducive to AI's adoption within classrooms. In this position paper, we discuss the benefits and limitations AI provides to education as well as the steps needed to responsibly use AI in education in the future.</p>
      </abstract>
      <kwd-group>
        <kwd>eol&gt;Education</kwd>
        <kwd>Policy Recommendation</kwd>
        <kwd>Social AI</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
      <sec id="sec-1-1">
        <title>AI can ofer many benefits for both students and teach</title>
        <p>ers, making it an important tool in modern education.</p>
        <p>
          Thus, AI techniques are being used extensively within
classrooms today [
          <xref ref-type="bibr" rid="ref1">1</xref>
          ]. For students, AI can mean more
personalized learning. Personalized learning is tailored
towards a specific student’s needs, and it would allow
students to learn the exact content most relevant for them.
        </p>
        <p>
          AI systems can help scale and improve personalized learn- individuals.
ing. For example, the popular studying tool Quizlet uses CV can also greatly benefit teachers. Along with NLP,
AI to help users study more eficiently by creating per- CV can be used to aid in test grading. For multiple choice
sonalized study paths that best address a student’s weak tests, CV can automate the grading process by
detecting where students have bubbled in their answers [
          <xref ref-type="bibr" rid="ref6">6</xref>
          ].
it. These tools, such as NLP and CV, are commonly used
within education.
        </p>
      </sec>
    </sec>
    <sec id="sec-2">
      <title>3. Concerns of AI in Education</title>
      <sec id="sec-2-1">
        <title>Although AI has proved to be beneficial to the educational</title>
        <p>landscape, it is still in its early stages and much more
should be done by the governments in their AI
policymaking. When creating AI-related policies, they should
consult experts in AI given the newness and rapidly
evolving nature of the technology. Countries like the
US should work towards creating global standards for
AI usage, and specifically to establish data-protection
policies that would make the school district’s data
collection fully public to all parties. By adopting laws that
clearly distinguish between which data can be publicly
or privately collected, the government would allow for
greater trust to occur which is key for further adoption
of AI-technologies in the educational sphere.</p>
        <p>Additionally, school districts would benefit from
policies that provide funding towards specific AI-based
technologies, such as automated grading systems or
schoolsafety measures. Doing so would benefit teacher
resources and allow schools to become more safe for
students and teachers. Since many of these AI-based
solutions are software-only, they can be implemented and
integrated within the pre-existing pipelines within school
districts for safety and education. Thus, we believe that
implementing such policy to increase funding for
AIbased technologies would greatly improve the quality of
education across the board.</p>
        <p>
          The implementation of AI in education also carries many
concerns that need to be addressed. In a world with
rapidly advancing technology, data privacy is a problem
that is becoming increasingly harder to solve, especially
in education. Students use various diferent technologies
in an online or hybrid learning setting that leads to an
increase in data collection/usage. While this data is
important for the functionality of AI-based applications, it
can also result in an invasion of the student’s privacy. In
fact, one-third of undergraduate students expressed
concern about their privacy when AI technology was used
in their classrooms [
          <xref ref-type="bibr" rid="ref7">7</xref>
          ]. AI models are trained using
usercollected data to create trends and improve the accuracy
of the model. Since education technologies are created
by large corporations, they strive to collect more data to
improve their product. Eventually, these data collection
methods seem ordinary, analogous to security cameras,
information forms, or usage tracking. Many
technologies implemented in schools are pertinent to learning the
content of the course, often leaving students no choice
to opt-out and remain private. Invasion of privacy can
be a major concern for many who wish to remain private
and not share much personal data. Moreover, technology
like ChatGPT have raised many concerns over academic
integrity with education, but data on this issue is limited. 5. Conclusion
        </p>
        <p>Another concern of AI is the expanded inequity
between wealthy and underprivileged schools. Due to As AI becomes more prevalent within the educational
greater resources, funding, and accessibility, wealthier realm, it is important to consider the trustworthiness
schools are able to expand AI-based learning faster than of AI usage. The responsible use of AI will allow for
underprivileged schools, thus allowing their students maximum benefits for both students and teachers. In the
to be more technologically proficient. However, under- future, AI researchers should consider addressing some
privileged students may lack technological proficiency, of the concerns that exist within today’s models. A move
creating a disadvantage for these students if AI is imple- towards privacy-preserving models and less intrusive AI
mented into the school system. would allow for greater trustworthiness and adoption of</p>
        <p>
          AI can also lack self-correction, which is important to such systems within classrooms across the world. At the
improve accuracy. Edtech could aid towards accurate stu- same time, it is important to increase AI literacy among
dent placement in a certain subject. These technologies educational administration to allow for greater usage of
work of the limited data collected while the student uses AI. Thus, socially responsible AI and machine learning
the application, which could lead to improper outcomes. technologies will create a lasting impact on the quality
Generalized algorithms found in AI fail to correctly use and access of education.
small nuances in data, such that they could either inflate These examples of AI are crucial to the understanding
the efect of the nuance or completely overlook it. For ex- and discussion of the efectiveness of the current
impleample, a student could lack vocabulary in a specific topic, mentation of trustworthy AI in education. We find that
and this data could be used to determine the reading level in successful implementations of AI in education, both
of the student [
          <xref ref-type="bibr" rid="ref8">8</xref>
          ]. In a situation where a teacher would teachers and students trust the predictions and ability for
be able to identify a student’s strengths and weaknesses the AI to perform its task. Instead of a focus on learning
efectively, AI lacks the same quality of analysis. These how an AI makes decisions, we believe there should be
concerns need to be efectively addressed through better, greater emphasis on showing the success of AI and its
more equitable AI to ensure more widespread adoption. broader implications. When humans see the AI
successful, they are more likely to implement and use the AI in
their own tasks. Thus, we believe that further
development and experimentation with AI and education can
greatly transform the educational landscape.
        </p>
      </sec>
    </sec>
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