The use of AI in conducting scientific research
(2020) INFM10 20201Department of Informatics
- Abstract (Swedish)
- Artificial Intelligence (AI) has been increasingly recognized as a key enabler in discovering scientific knowledge. Due to the current momentum, researchers from various fields try to incorporate AI to their research work. However, research to be truly identified as scientific research it requires to bring in new knowledge adhering to a scientific method. This study attempts to explore how AI affects the overall conduct of scientific research. To guide and support the study, TAM/TTF framework has been selected which compliments to look at the research problem from a user and technology perspective. To conduct the study, data was gathered from seven research academics who have experience or exposure in conducting AI- based research. The... (More)
- Artificial Intelligence (AI) has been increasingly recognized as a key enabler in discovering scientific knowledge. Due to the current momentum, researchers from various fields try to incorporate AI to their research work. However, research to be truly identified as scientific research it requires to bring in new knowledge adhering to a scientific method. This study attempts to explore how AI affects the overall conduct of scientific research. To guide and support the study, TAM/TTF framework has been selected which compliments to look at the research problem from a user and technology perspective. To conduct the study, data was gathered from seven research academics who have experience or exposure in conducting AI- based research. The findings of the study confirm the capability AI provides in conducting research in a more efficient/effective way while highlighting existing challenges faced around the main areas of research replicability, independence, and transparency. The insights provided from this study would support the academic community when conducting AI-based scientific research with better confidence. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9017687
- author
- Arumapperuma Arachige, Shanika LU ; Boella, Faiz LU and Singh, Saurabh LU
- supervisor
- organization
- alternative title
- A research proposition in understanding how AI affects overall conduct of scientific research
- course
- INFM10 20201
- year
- 2020
- type
- H1 - Master's Degree (One Year)
- subject
- keywords
- Artificial Intelligence, Scientific Research, TAM/TTF model
- report number
- INF20-043
- language
- English
- id
- 9017687
- date added to LUP
- 2020-06-26 17:01:15
- date last changed
- 2020-06-26 17:01:15
@misc{9017687,
abstract = {{Artificial Intelligence (AI) has been increasingly recognized as a key enabler in discovering scientific knowledge. Due to the current momentum, researchers from various fields try to incorporate AI to their research work. However, research to be truly identified as scientific research it requires to bring in new knowledge adhering to a scientific method. This study attempts to explore how AI affects the overall conduct of scientific research. To guide and support the study, TAM/TTF framework has been selected which compliments to look at the research problem from a user and technology perspective. To conduct the study, data was gathered from seven research academics who have experience or exposure in conducting AI- based research. The findings of the study confirm the capability AI provides in conducting research in a more efficient/effective way while highlighting existing challenges faced around the main areas of research replicability, independence, and transparency. The insights provided from this study would support the academic community when conducting AI-based scientific research with better confidence.}},
author = {{Arumapperuma Arachige, Shanika and Boella, Faiz and Singh, Saurabh}},
language = {{eng}},
note = {{Student Paper}},
title = {{The use of AI in conducting scientific research}},
year = {{2020}},
}