Artificial intelligence for human flourishing – Beyond principles for machine learning

B.C. Stahl; A. Andreou; P. Brey; T. Hatzakis; A. Kirichenko; K. Macnish; S. Laulhé Shaelou; A. Patel; M. Ryan; D. Wright

doi:10.1016/j.jbusres.2020.11.030

Artificial intelligence for human flourishing – Beyond principles for machine learning

B.C. Stahl^*, A. Andreou, P. Brey, T. Hatzakis, A. Kirichenko, K. Macnish, S. Laulhé Shaelou, A. Patel, M. Ryan, D. Wright

^*Corresponding author for this work

Innovation- and Risk Management and Information Governance

Research output: Contribution to journal › Article › Academic › peer-review

1 Citation (Scopus)

Abstract

The technical and economic benefits of artificial intelligence (AI) are counterbalanced by legal, social and ethical issues. It is challenging to conceptually capture and empirically measure both benefits and downsides. We therefore provide an account of the findings and implications of a multi-dimensional study of AI, comprising 10 case studies, five scenarios, an ethical impact analysis of AI, a human rights analysis of AI and a technical analysis of known and potential threats and vulnerabilities. Based on our findings, we separate AI ethics discourse into three streams: (1) specific issues related to the application of machine learning, (2) social and political questions arising in a digitally enabled society and (3) metaphysical questions about the nature of reality and humanity. Human rights principles and legislation have a key role to play in addressing the ethics of AI. This work helps to steer AI to contribute to human flourishing.

Original language	English
Pages (from-to)	374-388
Number of pages	15
Journal	Journal of Business Research
Volume	124
DOIs	https://doi.org/10.1016/j.jbusres.2020.11.030
Publication status	Published - Jan 2021

Keywords

Artificial intelligence
Big data
Ethics
Governance
Human rights

Access to Document

10.1016/j.jbusres.2020.11.030Licence: CC BY

https://edepot.wur.nl/539248Licence: CC BY

Fingerprint Dive into the research topics of 'Artificial intelligence for human flourishing – Beyond principles for machine learning'. Together they form a unique fingerprint.

Cite this

@article{43943cd0c23e48cf93eebc9a42e22e6f,

title = "Artificial intelligence for human flourishing – Beyond principles for machine learning",

abstract = "The technical and economic benefits of artificial intelligence (AI) are counterbalanced by legal, social and ethical issues. It is challenging to conceptually capture and empirically measure both benefits and downsides. We therefore provide an account of the findings and implications of a multi-dimensional study of AI, comprising 10 case studies, five scenarios, an ethical impact analysis of AI, a human rights analysis of AI and a technical analysis of known and potential threats and vulnerabilities. Based on our findings, we separate AI ethics discourse into three streams: (1) specific issues related to the application of machine learning, (2) social and political questions arising in a digitally enabled society and (3) metaphysical questions about the nature of reality and humanity. Human rights principles and legislation have a key role to play in addressing the ethics of AI. This work helps to steer AI to contribute to human flourishing.",

keywords = "Artificial intelligence, Big data, Ethics, Governance, Human rights",

author = "B.C. Stahl and A. Andreou and P. Brey and T. Hatzakis and A. Kirichenko and K. Macnish and {Laulh{\'e} Shaelou}, S. and A. Patel and M. Ryan and D. Wright",

year = "2021",

month = jan,

doi = "10.1016/j.jbusres.2020.11.030",

language = "English",

volume = "124",

pages = "374--388",

journal = "Journal of Business Research",

issn = "0148-2963",

publisher = "Elsevier",

}

TY - JOUR

T1 - Artificial intelligence for human flourishing – Beyond principles for machine learning

AU - Stahl, B.C.

AU - Andreou, A.

AU - Brey, P.

AU - Hatzakis, T.

AU - Kirichenko, A.

AU - Macnish, K.

AU - Laulhé Shaelou, S.

AU - Patel, A.

AU - Ryan, M.

AU - Wright, D.

PY - 2021/1

Y1 - 2021/1

N2 - The technical and economic benefits of artificial intelligence (AI) are counterbalanced by legal, social and ethical issues. It is challenging to conceptually capture and empirically measure both benefits and downsides. We therefore provide an account of the findings and implications of a multi-dimensional study of AI, comprising 10 case studies, five scenarios, an ethical impact analysis of AI, a human rights analysis of AI and a technical analysis of known and potential threats and vulnerabilities. Based on our findings, we separate AI ethics discourse into three streams: (1) specific issues related to the application of machine learning, (2) social and political questions arising in a digitally enabled society and (3) metaphysical questions about the nature of reality and humanity. Human rights principles and legislation have a key role to play in addressing the ethics of AI. This work helps to steer AI to contribute to human flourishing.

AB - The technical and economic benefits of artificial intelligence (AI) are counterbalanced by legal, social and ethical issues. It is challenging to conceptually capture and empirically measure both benefits and downsides. We therefore provide an account of the findings and implications of a multi-dimensional study of AI, comprising 10 case studies, five scenarios, an ethical impact analysis of AI, a human rights analysis of AI and a technical analysis of known and potential threats and vulnerabilities. Based on our findings, we separate AI ethics discourse into three streams: (1) specific issues related to the application of machine learning, (2) social and political questions arising in a digitally enabled society and (3) metaphysical questions about the nature of reality and humanity. Human rights principles and legislation have a key role to play in addressing the ethics of AI. This work helps to steer AI to contribute to human flourishing.

KW - Artificial intelligence

KW - Big data

KW - Ethics

KW - Governance

KW - Human rights

U2 - 10.1016/j.jbusres.2020.11.030

DO - 10.1016/j.jbusres.2020.11.030

M3 - Article

AN - SCOPUS:85098925550

VL - 124

SP - 374

EP - 388

JO - Journal of Business Research

JF - Journal of Business Research

SN - 0148-2963

ER -