Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Some challenges in connection with the construction of a Massive Open Online Course on ethical and societal aspects of AI

Persson, Erik LU orcid ; Hedlund, Maria LU ; Lindström, Lena LU ; Kandi, Karima LU and Nannskog, Deana LU (2021) HT-fakulteternas pedagogiska inspirationskonferens 2020 p.99-110
Abstract
The Swedish government is at present investing heavily in making Sweden competitive in AI (Artificial Intelligence). As a part of that effort, Lund University has been commissioned with providing a series of MOOCs (Massive Open Online Courses) on different topics regarding AI, including several topics dealing with Humans and AI. As a comprehensive university, Lund University has an advantage in being able to facilitate collaboration across academic fields to meet multidisciplinary knowledge needs in the wider society for the future of sustainable AI design, implementation, and use. The courses aim at a very wide audience but are particularly suited for those who did not major in AI related subjects at the university but who nonetheless... (More)
The Swedish government is at present investing heavily in making Sweden competitive in AI (Artificial Intelligence). As a part of that effort, Lund University has been commissioned with providing a series of MOOCs (Massive Open Online Courses) on different topics regarding AI, including several topics dealing with Humans and AI. As a comprehensive university, Lund University has an advantage in being able to facilitate collaboration across academic fields to meet multidisciplinary knowledge needs in the wider society for the future of sustainable AI design, implementation, and use. The courses aim at a very wide audience but are particularly suited for those who did not major in AI related subjects at the university but who nonetheless have to deal with AI in their work. This resulted in a suite of courses of which one deals with societal challenges and ethical issues in AI. The course covers algorithmic bias, surveillance, democracy, responsibility, how to maintain control of intelligent machines, and conceptual issues regarding machine intelligence. In this chapter we present some challenges in connection with the making of this course, and how these challenges were overcome. (Less)
Please use this url to cite or link to this publication:
author
; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
Hållbart lärarskap : universitetsundervisning i förändring – Proceedings från Humanistiska och Teologiska fakulteternas pedagogiska inspirationskonferens 2020 - universitetsundervisning i förändring – Proceedings från Humanistiska och Teologiska fakulteternas pedagogiska inspirationskonferens 2020
editor
Santeson, Sara and Mårtensson, Katarina
pages
11 pages
publisher
Humanistiska och teologiska fakulteterna
conference name
HT-fakulteternas pedagogiska inspirationskonferens 2020
conference location
Lund, Sweden
conference dates
2020-10-22 - 2020-10-22
ISBN
978-91-7267-454-7
978-91-7267-453-0
project
How will different forward looking distributions of responsibility affect the long-term development of Artificial Intelligence
language
English
LU publication?
yes
id
c7798290-b23f-4fe2-b986-91e00545dbc5
date added to LUP
2022-01-30 18:03:29
date last changed
2023-08-17 16:13:33
@inproceedings{c7798290-b23f-4fe2-b986-91e00545dbc5,
  abstract     = {{The Swedish government is at present investing heavily in making Sweden competitive in AI (Artificial Intelligence). As a part of that effort, Lund University has been commissioned with providing a series of MOOCs (Massive Open Online Courses) on different topics regarding AI, including several topics dealing with Humans and AI. As a comprehensive university, Lund University has an advantage in being able to facilitate collaboration across academic fields to meet multidisciplinary knowledge needs in the wider society for the future of sustainable AI design, implementation, and use. The courses aim at a very wide audience but are particularly suited for those who did not major in AI related subjects at the university but who nonetheless have to deal with AI in their work. This resulted in a suite of courses of which one deals with societal challenges and ethical issues in AI. The course covers algorithmic bias, surveillance, democracy, responsibility, how to maintain control of intelligent machines, and conceptual issues regarding machine intelligence. In this chapter we present some challenges in connection with the making of this course, and how these challenges were overcome.}},
  author       = {{Persson, Erik and Hedlund, Maria and Lindström, Lena and Kandi, Karima and Nannskog, Deana}},
  booktitle    = {{Hållbart lärarskap : universitetsundervisning i förändring – Proceedings från Humanistiska och Teologiska fakulteternas pedagogiska inspirationskonferens 2020}},
  editor       = {{Santeson, Sara and Mårtensson, Katarina}},
  isbn         = {{978-91-7267-454-7}},
  language     = {{eng}},
  pages        = {{99--110}},
  publisher    = {{Humanistiska och teologiska fakulteterna}},
  title        = {{Some challenges in connection with the construction of a Massive Open Online Course on ethical and societal aspects of AI}},
  url          = {{https://lup.lub.lu.se/search/files/155161081/HT_pedagogik_2021.pdf}},
  year         = {{2021}},
}