Artificial Intelligence Value Alignment Principles: The State of Art Review from Information Systems Research

Shengnan Han; Shahrokh Nikou

doi:10.18690/978-961-286-485-9

Artificial Intelligence Value Alignment Principles: The State of Art Review from Information Systems Research

Shengnan Han^*, Shahrokh Nikou

^*Corresponding author for this work

Research output: Chapter in Book/Conference proceeding › Conference contribution › Scientific › peer-review

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Abstract

Information and communication technologies (ICTs) must be designed and used for humane ends. The rapid adoption of Artificial Intelligence (AI) has raised the critical question of whether we can ensure AI's alignment with human values to guide its design and use. We perform a selective literature review with the specific search terms of the papers published in the top information systems (basket of 8 journals and 5 AI journals in IS) from 2000-2020 to answer this question. The findings indicate that IS research has contributed insufficiently to a deeper understanding of human values and AI value alignment principles. Moreover, the mainstream IS research on AI is mostly dominated from its technical and managerial aspects. Thus, the future research agendas are proposed accordingly. The paper provides some food for thoughts in studying human values and AI alignment within the context of IS research.

Original language	English
Title of host publication	34th Bled eConference Digital Support from Crisis to Progressive Change: June 27 – 30, 2021, Online Conference Proceedings
Editors	Andreja Pucihar, Mirjana Kljajić Borštnar, Roger Bons, Helen Cripps, Anand Sheombar, Doroteja Vidmar
Place of Publication	University of Maribor
Publisher	University of Maribor, Faculty of Organizational Sciences
Pages	675-681
ISBN (Electronic)	978-961-286-485-9
DOIs	https://doi.org/10.18690/978-961-286-485-9
Publication status	Published - 23 Jun 2021
MoE publication type	A4 Article in a conference publication
Event	34TH BLED ECONFERENCE - Bled, Slovenia Duration: 27 Jun 2021 → 30 Jun 2021 Conference number: 34

Conference

Conference	34TH BLED ECONFERENCE
Abbreviated title	BLED
Country/Territory	Slovenia
City	Bled
Period	27/06/21 → 30/06/21

Keywords

Artificial intelligence
Phenomenology
Digitalisation
Information Systems
Human Value
Value Alignment

Access to Document

10.18690/978-961-286-485-9Licence: Publisher rights policy

Bled_2021_ShengnanAccepted author manuscript, 305 KBLicence: Publisher rights policy

https://urn.fi/URN:NBN:fi-fe202201148452

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Han, S., & Nikou, S. (2021). Artificial Intelligence Value Alignment Principles: The State of Art Review from Information Systems Research. In A. Pucihar, M. Kljajić Borštnar, R. Bons, H. Cripps, A. Sheombar, & D. Vidmar (Eds.), 34th Bled eConference Digital Support from Crisis to Progressive Change: June 27 – 30, 2021, Online Conference Proceedings (pp. 675-681). University of Maribor, Faculty of Organizational Sciences. https://doi.org/10.18690/978-961-286-485-9

Han, Shengnan ; Nikou, Shahrokh. / Artificial Intelligence Value Alignment Principles: The State of Art Review from Information Systems Research. 34th Bled eConference Digital Support from Crisis to Progressive Change: June 27 – 30, 2021, Online Conference Proceedings. editor / Andreja Pucihar ; Mirjana Kljajić Borštnar ; Roger Bons ; Helen Cripps ; Anand Sheombar ; Doroteja Vidmar. University of Maribor : University of Maribor, Faculty of Organizational Sciences, 2021. pp. 675-681

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title = "Artificial Intelligence Value Alignment Principles: The State of Art Review from Information Systems Research",

abstract = "Information and communication technologies (ICTs) must be designed and used for humane ends. The rapid adoption of Artificial Intelligence (AI) has raised the critical question of whether we can ensure AI's alignment with human values to guide its design and use. We perform a selective literature review with the specific search terms of the papers published in the top information systems (basket of 8 journals and 5 AI journals in IS) from 2000-2020 to answer this question. The findings indicate that IS research has contributed insufficiently to a deeper understanding of human values and AI value alignment principles. Moreover, the mainstream IS research on AI is mostly dominated from its technical and managerial aspects. Thus, the future research agendas are proposed accordingly. The paper provides some food for thoughts in studying human values and AI alignment within the context of IS research.",

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Han, S & Nikou, S 2021, Artificial Intelligence Value Alignment Principles: The State of Art Review from Information Systems Research. in A Pucihar, M Kljajić Borštnar, R Bons, H Cripps, A Sheombar & D Vidmar (eds), 34th Bled eConference Digital Support from Crisis to Progressive Change: June 27 – 30, 2021, Online Conference Proceedings. University of Maribor, Faculty of Organizational Sciences, University of Maribor, pp. 675-681, 34TH BLED ECONFERENCE, Bled, Slovenia, 27/06/21. https://doi.org/10.18690/978-961-286-485-9

Artificial Intelligence Value Alignment Principles: The State of Art Review from Information Systems Research. / Han, Shengnan; Nikou, Shahrokh.
34th Bled eConference Digital Support from Crisis to Progressive Change: June 27 – 30, 2021, Online Conference Proceedings. ed. / Andreja Pucihar; Mirjana Kljajić Borštnar; Roger Bons; Helen Cripps; Anand Sheombar; Doroteja Vidmar. University of Maribor: University of Maribor, Faculty of Organizational Sciences, 2021. p. 675-681.

Research output: Chapter in Book/Conference proceeding › Conference contribution › Scientific › peer-review

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T1 - Artificial Intelligence Value Alignment Principles: The State of Art Review from Information Systems Research

AU - Han, Shengnan

AU - Nikou, Shahrokh

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PY - 2021/6/23

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N2 - Information and communication technologies (ICTs) must be designed and used for humane ends. The rapid adoption of Artificial Intelligence (AI) has raised the critical question of whether we can ensure AI's alignment with human values to guide its design and use. We perform a selective literature review with the specific search terms of the papers published in the top information systems (basket of 8 journals and 5 AI journals in IS) from 2000-2020 to answer this question. The findings indicate that IS research has contributed insufficiently to a deeper understanding of human values and AI value alignment principles. Moreover, the mainstream IS research on AI is mostly dominated from its technical and managerial aspects. Thus, the future research agendas are proposed accordingly. The paper provides some food for thoughts in studying human values and AI alignment within the context of IS research.

AB - Information and communication technologies (ICTs) must be designed and used for humane ends. The rapid adoption of Artificial Intelligence (AI) has raised the critical question of whether we can ensure AI's alignment with human values to guide its design and use. We perform a selective literature review with the specific search terms of the papers published in the top information systems (basket of 8 journals and 5 AI journals in IS) from 2000-2020 to answer this question. The findings indicate that IS research has contributed insufficiently to a deeper understanding of human values and AI value alignment principles. Moreover, the mainstream IS research on AI is mostly dominated from its technical and managerial aspects. Thus, the future research agendas are proposed accordingly. The paper provides some food for thoughts in studying human values and AI alignment within the context of IS research.

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A2 - Pucihar, Andreja

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Han S, Nikou S. Artificial Intelligence Value Alignment Principles: The State of Art Review from Information Systems Research. In Pucihar A, Kljajić Borštnar M, Bons R, Cripps H, Sheombar A, Vidmar D, editors, 34th Bled eConference Digital Support from Crisis to Progressive Change: June 27 – 30, 2021, Online Conference Proceedings. University of Maribor: University of Maribor, Faculty of Organizational Sciences. 2021. p. 675-681 doi: 10.18690/978-961-286-485-9

Artificial Intelligence Value Alignment Principles: The State of Art Review from Information Systems Research

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