AI – Miracle or Mistake
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University of Houston *
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2314
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Health Science
Date
Apr 3, 2024
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docx
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2
Uploaded by stacyleechov2
AI – Miracle or Mistake?
1.
AI is short for artificial intelligence. It refers to the potential of technology to carry out human-like acts when it comes to problem-solving, comprehension, speech, and many other things. 2.
I believe AI can be used in healthcare, workforce, education, improvements in lifestyle, and automobiles. In healthcare I believe with diagnostic work AI will be able to assist physicians as it can compare to large datasets. For the workforce I believe AI in customer
support is specifically helpful like chatbots that can sort customers to the correct department. In education I believe AI can help the teacher’s side of things with course plans and automatic grading on assignments. AI also gives a second aspect on how to instruct students as there may be an easier way for students to comprehend a topic. For lifestyle improvements AI can improve this for the elderly for companionship, and physically by setting up AI to detect when a person may fall with sensors. AI has been used for automobiles and improving them by incorporating GPS, emergency braking, and
lane-assist. 3.
In computational psychiatry, AI can help improve diagnosis and treatment of mental health. With computational psychiatry looking at datasets you can find common genes or factors within a large dataset that may be missed by normal human eye to help find the factors that contribute to many mental health disorders. AI can also help with lowering the chance of misdiagnosing a patient. An example is bipolar disorder and major depressive disorder. It is quite easy to misdiagnose a patient with bipolar disorder by diagnosing them with major depressive disorder, but with a machine that can look at self-
reports and blood samples it was able to identify patients in different scenes with bipolar
disorder. For treatments AI can speed up medicinal discoveries by being able to analyze large datasets and be able to spot connections that could lead to potential treatments. Another way AI can help the treatment aspect of mental health is being able to find certain risk factors or conditions that are more present for one mental health disorder than
another. 4.
Some ethical implications of AI include bias, influencing decision making of consumers, and excessive surveillance. Bias is an ethical implication of AI by how data is labeled. With information being chosen by humans and the algorithms present bias will always be
an implication. The implication of coercing a consumer's decision making is also an ethical concern as companies can put information about a consumer to “nudge” them in the direction that will benefit the company. The last point of excessive surveillance is an ethical concern as constantly with GPS or certain applications it asks if it can track your location while the app is being used. Constantly being monitored is a major ethical concern for many. 5.
I believe that AI should not be able to be used to complete an assignment. I believe that approving the use of AI for assignments will hinder the ability of students to learn as efficiently. From my perspective many students tend to slack when they know the work can be done for them. This then leads them to cram for exams later and not fully learning a concept. Another point is that even if guidelines are set in place for students many will still find a way around it to give themselves less work. I believe at the end of the day in the educational field it is hard to find an ethical ground for students to use it with their assignments, so it is easier to not incorporate it for students' assignments.
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