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Authors: Nicolás Ferreyra 1 ; Esma Aïmeur 2 ; Hicham Hage 3 ; Maritta Heisel 1 and Catherine van Hoogstraten 4

Affiliations: 1 Department of Computer Science and Applied Cognitive Science, University of Duisburg-Essen, Germany ; 2 Department of Computer Science and Operations Research (DIRO), University of Montréal, Canada ; 3 Computer Science Department, Notre Dame University - Louaize, Lebanon ; 4 Booking.com, The Netherlands

ISBN: 978-989-758-474-9

ISSN: 2184-3228

Keyword(s): Social Engineering, Digital Nudging, Privacy Awareness, Risk Management, Self-disclosure, AI, Ethics.

Abstract: Privacy in Social Network Sites (SNSs) like Facebook or Instagram is closely related to people’s self-disclosure decisions and their ability to foresee the consequences of sharing personal information with large and diverse audiences. Nonetheless, online privacy decisions are often based on spurious risk judgements that make people liable to reveal sensitive data to untrusted recipients and become victims of social engineering attacks. Artificial Intelligence (AI) in combination with persuasive mechanisms like nudging is a promising approach for promoting preventative privacy behaviour among the users of SNSs. Nevertheless, combining behavioural interventions with high levels of personalization can be a potential threat to people’s agency and autonomy even when applied to the design of social engineering countermeasures. This paper elaborates on the ethical challenges that nudging mechanisms can introduce to the development of AI-based countermeasures, particularly to those addressing unsafe self-disclosure practices in SNSs. Overall, it endorses the elaboration of personalized risk awareness solutions as i) an ethical approach to counteract social engineering, and ii) as an effective means for promoting reflective privacy decisions. (More)

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Paper citation in several formats:
Ferreyra, N.; Aïmeur, E.; Hage, H.; Heisel, M. and van Hoogstraten, C. (2020). Persuasion Meets AI: Ethical Considerations for the Design of Social Engineering Countermeasures. In Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KMIS, ISBN 978-989-758-474-9 ISSN 2184-3228, pages 204-211. DOI: 10.5220/0010142402040211

@conference{kmis20,
author={Nicolás Ferreyra. and Esma Aïmeur. and Hicham Hage. and Maritta Heisel. and Catherine {van Hoogstraten}.},
title={Persuasion Meets AI: Ethical Considerations for the Design of Social Engineering Countermeasures},
booktitle={Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KMIS,},
year={2020},
pages={204-211},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010142402040211},
isbn={978-989-758-474-9},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KMIS,
TI - Persuasion Meets AI: Ethical Considerations for the Design of Social Engineering Countermeasures
SN - 978-989-758-474-9
IS - 2184-3228
AU - Ferreyra, N.
AU - Aïmeur, E.
AU - Hage, H.
AU - Heisel, M.
AU - van Hoogstraten, C.
PY - 2020
SP - 204
EP - 211
DO - 10.5220/0010142402040211

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