STA630 GDB 1 SOLUTION FALL 2023 | RESEARCH METHODS | VuTech
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STA630
GDB NO. 01
RESEARCH METHODS
FALL 2023
DUE DATE: 01-12-2023
GDB Question:
In the coming decades, artificial intelligence will almost certainly be
deployed in every workplace. It will automate routine tasks while advancing
the human skills and capabilities. A substantial possibility exists that it
may result in the elimination or restructuring of conventional jobs. On the
other hand, it will also create new employment opportunities, particularly
in the fields of data analytics, human-AI collaboration, and the development
of artificial intelligence software and apps. However, it's also necessary
to comprehend the risks associated with the use of AI since it will reduce
the use of the human intellect. Hence, it may have both positive and
negative impacts at the same time. The rapid advancement of Artificial
Intelligence (AI) has challenged researchers to test the underlying theories
to investigate the relationship between AI and human
efficiency.
Requirement:
a) After carefully analyzing the above scenario, you are required to
identify which type of research (descriptive, exploratory, or explanatory)
is most appropriate to be used for data analysis.
Answer:
Exploratory research involves investigating a topic when there is
limited information available, aiming to gain a deeper understanding,
identify variables, and generate hypotheses for further study. In the case
of AI's impact on the workplace and human efficiency, an exploratory
approach allows researchers to delve into the multifaceted aspects,
dynamics, and potential consequences without predefined boundaries.
b) Provide sound justifications to support your choice.
Answer:
Complexity and Uncertainty:
The scenario highlights a complex interplay between AI integration, job
dynamics, and the evolution of human roles. An exploratory approach allows
for flexibility in examining these intricate relationships without
presupposing outcomes.
Lack of Predefined Structure:
The rapid evolution of AI means there might not be established theories or
frameworks to fully comprehend its effects on human efficiency. Exploratory
research is apt for situations where the structure is not
well-defined.
Generating Hypotheses:
Since there are potential positive and negative impacts of AI on the
workforce, an exploratory approach allows researchers to generate hypotheses
that can be further tested or refined through other research methods.
Identifying Variables:
With numerous variables at play such as job restructuring, skill
development, AI application areas, and associated risks an exploratory
approach aids in identifying and understanding these factors.
Adaptability and Flexibility:
Exploratory research permits adaptability to new findings and evolving
trends in AI, ensuring that the study remains relevant and dynamic.
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