Part III — AI Case Study
Existing Laws, Best Practices, and Professional Ethics
The Draconic Realms Creations Digital Communication Law Handbook translates legal principles into workplace decisions. Its practices require employees to verify information, identify communication sources accurately, respect privacy and intellectual property, follow telecommunications rules, and review AI-generated material before publication. Applied to the New Hampshire robocall, these safeguards would have required proof of the speaker’s identity and authorization. The fabricated recording should have been rejected before distribution because it failed basic standards of authenticity and truthfulness (Bryden, 2026).
Human review is especially important because an AI system cannot assume an organization’s legal or moral responsibility. It can generate convincing audio, images, and text quickly, but it cannot determine whether publication is lawful, fair, or consistent with organizational values. A designated person must verify factual claims, permissions, disclosures, and applicable regulations before approving AI-assisted content. The people who publish a message remain accountable for its consequences, regardless of the technology used to create it.
Professional codes provide guidance beyond minimum legal compliance. The Society of Professional Journalists’ Code of Ethics directs communicators to seek truth, minimize harm, act independently, and remain accountable and transparent. The robocall violated these principles by concealing its source, presenting fabricated information, confusing voters, and avoiding accountability (Society of Professional Journalists [SPJ], 2014). The Public Relations Society of America emphasizes advocacy, honesty, expertise, independence, loyalty, and fairness. Unauthorized impersonation directly conflicts with honesty and damages confidence in professional communication (Public Relations Society of America [PRSA], n.d.).
Applying Ethical Frameworks
The robocall fails under Kant’s categorical imperative because deceptive impersonation cannot become a universal communication rule without destroying trust. A utilitarian analysis shows that the harm to voters, elections, and public confidence outweighs any short-term political benefit. Rawls’s justice-as-fairness also rejects a system in which individuals can have their identities appropriated and used to manipulate public participation.
Using the Potter Box, the situation, values, principles, and loyalties all point toward protecting voters, preserving truthful political participation, and rejecting deceptive AI impersonation as the most defensible action (Wilkins et al., 2022).
