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

People make poor privacy decisions online due to flawed risk assessment, not lack of information. Users of social networks like Facebook and Instagram often misjudge privacy risks, making them vulnerable to social engineering attacks that trick them into sharing sensitive personal data with untrustworthy recipients.

AI-powered "nudges" can help protect privacy, but raise ethical concerns about user autonomy. While combining artificial intelligence with persuasive techniques (nudging) shows promise for encouraging safer privacy behavior, the paper warns that highly personalized interventions risk manipulating users' choices rather than genuinely informing them.

Personalization in safety tools creates a tension between protection and freedom. The more an AI system personalizes its warnings or interventions based on individual user data, the more it can influence behavior—which may protect users from harm but could also undermine their ability to make independent decisions.

Ethical AI countermeasures should promote "reflective" privacy decisions. Rather than simply nudging users toward "safer" choices, responsible AI design should help people think critically about their privacy choices, enabling them to make informed decisions aligned with their own values rather than decisions imposed by the system.