AI i samhällets tjänst – Balansgång mellan innovation och risk inom samhällsviktiga verksamheter
(2024) VRSM01 20241Division of Risk Management and Societal Safety
Risk Management and Safety Engineering (M.Sc.Eng.)
- Abstract
- This study examines various risks associated with the use of artificial intelligence (AI), which have
become increasingly relevant as the technology rapidly develops and integrates into society. The
risks have been categorized into six main areas: technological, data- and analytical, informational and
communicational, economic, social, ethical and legal and regulatory. These areas include challenges
such as technological complexity, the spread of false information, economic losses, social stress,
discrimination, and difficulties navigating current legislation. What is also highlighted is the upcoming
EU AI Act, which aims to regulate AI systems by categorizing them based on their level of risk.
The results from literature review,... (More) - This study examines various risks associated with the use of artificial intelligence (AI), which have
become increasingly relevant as the technology rapidly develops and integrates into society. The
risks have been categorized into six main areas: technological, data- and analytical, informational and
communicational, economic, social, ethical and legal and regulatory. These areas include challenges
such as technological complexity, the spread of false information, economic losses, social stress,
discrimination, and difficulties navigating current legislation. What is also highlighted is the upcoming
EU AI Act, which aims to regulate AI systems by categorizing them based on their level of risk.
The results from literature review, surveys, and interviews with 19 respondents knowledgeable in AI
from critical societal operations show that the risks are currently low but are expected to increase.
This is partly due to the increased use of advanced, generative AI technologies that are more opaque
and complex.
The study also highlights similarities and differences in how the private and public sectors manage
these challenges. Particularly in public operations, and to some extent in some private organizations,
data often subject to stricter legal requirements is handled. This sensitive data management imposes
high demands and can risk limiting how AI can be utilized, potentially creating obstacles for
operations where the need for efficiency is great.
Finally, the challenge that organizations must face is emphasized as they need to balance the
utilization of AI for its many benefits while also managing and minimizing the risks that the
technology entails. This balancing act is a complex and crucial challenge in the development and
implementation of AI technology. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9164806
- author
- Hagberg, Erika LU and Ericsson, Evelin LU
- supervisor
-
- Misse Wester LU
- organization
- course
- VRSM01 20241
- year
- 2024
- type
- H2 - Master's Degree (Two Years)
- subject
- keywords
- AI, artificial intelligence, risk, organizations, critical service, risk exposure, private sector, public sector
- language
- English
- id
- 9164806
- date added to LUP
- 2024-06-24 09:23:08
- date last changed
- 2024-06-24 09:23:08
@misc{9164806,
abstract = {{This study examines various risks associated with the use of artificial intelligence (AI), which have
become increasingly relevant as the technology rapidly develops and integrates into society. The
risks have been categorized into six main areas: technological, data- and analytical, informational and
communicational, economic, social, ethical and legal and regulatory. These areas include challenges
such as technological complexity, the spread of false information, economic losses, social stress,
discrimination, and difficulties navigating current legislation. What is also highlighted is the upcoming
EU AI Act, which aims to regulate AI systems by categorizing them based on their level of risk.
The results from literature review, surveys, and interviews with 19 respondents knowledgeable in AI
from critical societal operations show that the risks are currently low but are expected to increase.
This is partly due to the increased use of advanced, generative AI technologies that are more opaque
and complex.
The study also highlights similarities and differences in how the private and public sectors manage
these challenges. Particularly in public operations, and to some extent in some private organizations,
data often subject to stricter legal requirements is handled. This sensitive data management imposes
high demands and can risk limiting how AI can be utilized, potentially creating obstacles for
operations where the need for efficiency is great.
Finally, the challenge that organizations must face is emphasized as they need to balance the
utilization of AI for its many benefits while also managing and minimizing the risks that the
technology entails. This balancing act is a complex and crucial challenge in the development and
implementation of AI technology.}},
author = {{Hagberg, Erika and Ericsson, Evelin}},
language = {{eng}},
note = {{Student Paper}},
title = {{AI i samhällets tjänst – Balansgång mellan innovation och risk inom samhällsviktiga verksamheter}},
year = {{2024}},
}