Persuasion Meets AI: Ethical Considerations for the Design of Social Engineering Countermeasures

TL;DR

This paper discusses the ethical challenges of using AI and persuasive nudging to promote privacy in social networks, emphasizing personalized risk awareness as a balanced approach.

Contribution

It highlights ethical concerns of AI-driven social engineering countermeasures and advocates for personalized risk awareness solutions to enhance privacy without compromising autonomy.

Findings

Personalized nudging can improve privacy decisions.

Ethical considerations are crucial in designing AI-based interventions.

Personalized risk awareness promotes reflective privacy behavior.

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.