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.

Original languageEnglish
Title of host publicationPrivacy and Identity Management. Data for Better Living: AI and Privacy
EditorsM. Friedewald, M. Önen, E. Lievens, S. Krenn, S. Fricker
PublisherSpringer
Pages161-176
Volume576
ISBN (Electronic)978-3-030-42504-3
ISBN (Print)978-3-030-42503-6
DOIs
Publication statusPublished - 6 Mar 2020
Event2019 IFIP Summer School on Privacy and Identity Management - Brugg/Windisch, Switzerland
Duration: 19 Aug 201923 Aug 2019

Publication series

NameIFIP Advances in Information and Communication Technology
PublisherSpringer

Course

Course2019 IFIP Summer School on Privacy and Identity Management
CountrySwitzerland
CityBrugg/Windisch
Period19/08/1923/08/19

ID: 50120518