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Aid and AI: The Challenge of Reconciling Humanitarian Principles and Data Protection. / Zomignani Barboza, Julia; Jasmontaite, Lina; Diver, Laurence.

Privacy and Identity Management. Data for Better Living: AI and Privacy. ed. / M. Friedewald; M. Önen; E. Lievens; S. Krenn; S. Fricker. Vol. 576 Springer, 2020. p. 161-176 (IFIP Advances in Information and Communication Technology).

Research output: Chapter in Book/Report/Conference proceedingChapter

Harvard

Zomignani Barboza, J, Jasmontaite, L & Diver, L 2020, Aid and AI: The Challenge of Reconciling Humanitarian Principles and Data Protection. in M Friedewald, M Önen, E Lievens, S Krenn & S Fricker (eds), Privacy and Identity Management. Data for Better Living: AI and Privacy. vol. 576, IFIP Advances in Information and Communication Technology, Springer, pp. 161-176, 2019 IFIP Summer School on Privacy and Identity Management, Brugg/Windisch, Switzerland, 19/08/19. https://doi.org/10.1007/978-3-030-42504-3_11

APA

Zomignani Barboza, J., Jasmontaite, L., & Diver, L. (2020). Aid and AI: The Challenge of Reconciling Humanitarian Principles and Data Protection. In M. Friedewald, M. Önen, E. Lievens, S. Krenn, & S. Fricker (Eds.), Privacy and Identity Management. Data for Better Living: AI and Privacy (Vol. 576, pp. 161-176). (IFIP Advances in Information and Communication Technology). Springer. https://doi.org/10.1007/978-3-030-42504-3_11

Vancouver

Zomignani Barboza J, Jasmontaite L, Diver L. Aid and AI: The Challenge of Reconciling Humanitarian Principles and Data Protection. In Friedewald M, Önen M, Lievens E, Krenn S, Fricker S, editors, Privacy and Identity Management. Data for Better Living: AI and Privacy. Vol. 576. Springer. 2020. p. 161-176. (IFIP Advances in Information and Communication Technology). https://doi.org/10.1007/978-3-030-42504-3_11

Author

Zomignani Barboza, Julia ; Jasmontaite, Lina ; Diver, Laurence. / Aid and AI: The Challenge of Reconciling Humanitarian Principles and Data Protection. Privacy and Identity Management. Data for Better Living: AI and Privacy. editor / M. Friedewald ; M. Önen ; E. Lievens ; S. Krenn ; S. Fricker. Vol. 576 Springer, 2020. pp. 161-176 (IFIP Advances in Information and Communication Technology).

BibTeX

@inbook{35b4c5c725b04317ae295d05cbee8124,
title = "Aid and AI: The Challenge of Reconciling Humanitarian Principles and Data Protection",
abstract = "Artificial intelligence systems have become ubiquitous in everyday life, and their potential to improve efficiency in a broad range of activities that involve finding patterns or making predictions have made them an attractive technology for the humanitarian sector. However, concerns over their intrusion on the right to privacy and their possible incompatibility with data protection principles may pose a challenge to their deployment. Furthermore, in the humanitarian sector, compliance with data protection principles is not enough, because organisations providing humanitarian assistance also need to comply with humanitarian principles to ensure the provision of impartial and neutral aid that does not harm beneficiaries in any way. In view of this, the present contribution analyses a hypothetical facial recognition system based on artificial intelligence that could assist humanitarian organisations in their efforts to identify missing persons. Recognising that such a system could create risks by providing information on missing persons that could potentially be used by harmful actors to identify and target vulnerable groups, such a system ought only to be deployed after a holistic impact assessment has been made, to ensure its adherence to both data protection and humanitarian principles.",
author = "{Zomignani Barboza}, Julia and Lina Jasmontaite and Laurence Diver",
year = "2020",
month = "3",
day = "6",
doi = "https://doi.org/10.1007/978-3-030-42504-3_11",
language = "English",
isbn = "978-3-030-42503-6",
volume = "576",
series = "IFIP Advances in Information and Communication Technology",
publisher = "Springer",
pages = "161--176",
editor = "M. Friedewald and M. {\"O}nen and E. Lievens and S. Krenn and S. Fricker",
booktitle = "Privacy and Identity Management. Data for Better Living: AI and Privacy",

}

RIS

TY - CHAP

T1 - Aid and AI: The Challenge of Reconciling Humanitarian Principles and Data Protection

AU - Zomignani Barboza, Julia

AU - Jasmontaite, Lina

AU - Diver, Laurence

PY - 2020/3/6

Y1 - 2020/3/6

N2 - Artificial intelligence systems have become ubiquitous in everyday life, and their potential to improve efficiency in a broad range of activities that involve finding patterns or making predictions have made them an attractive technology for the humanitarian sector. However, concerns over their intrusion on the right to privacy and their possible incompatibility with data protection principles may pose a challenge to their deployment. Furthermore, in the humanitarian sector, compliance with data protection principles is not enough, because organisations providing humanitarian assistance also need to comply with humanitarian principles to ensure the provision of impartial and neutral aid that does not harm beneficiaries in any way. In view of this, the present contribution analyses a hypothetical facial recognition system based on artificial intelligence that could assist humanitarian organisations in their efforts to identify missing persons. Recognising that such a system could create risks by providing information on missing persons that could potentially be used by harmful actors to identify and target vulnerable groups, such a system ought only to be deployed after a holistic impact assessment has been made, to ensure its adherence to both data protection and humanitarian principles.

AB - Artificial intelligence systems have become ubiquitous in everyday life, and their potential to improve efficiency in a broad range of activities that involve finding patterns or making predictions have made them an attractive technology for the humanitarian sector. However, concerns over their intrusion on the right to privacy and their possible incompatibility with data protection principles may pose a challenge to their deployment. Furthermore, in the humanitarian sector, compliance with data protection principles is not enough, because organisations providing humanitarian assistance also need to comply with humanitarian principles to ensure the provision of impartial and neutral aid that does not harm beneficiaries in any way. In view of this, the present contribution analyses a hypothetical facial recognition system based on artificial intelligence that could assist humanitarian organisations in their efforts to identify missing persons. Recognising that such a system could create risks by providing information on missing persons that could potentially be used by harmful actors to identify and target vulnerable groups, such a system ought only to be deployed after a holistic impact assessment has been made, to ensure its adherence to both data protection and humanitarian principles.

U2 - https://doi.org/10.1007/978-3-030-42504-3_11

DO - https://doi.org/10.1007/978-3-030-42504-3_11

M3 - Chapter

SN - 978-3-030-42503-6

VL - 576

T3 - IFIP Advances in Information and Communication Technology

SP - 161

EP - 176

BT - Privacy and Identity Management. Data for Better Living: AI and Privacy

A2 - Friedewald, M.

A2 - Önen, M.

A2 - Lievens, E.

A2 - Krenn, S.

A2 - Fricker, S.

PB - Springer

ER -

ID: 50120518