AI adoption isn’t just technical—it’s ethical.
As ServiceNow introduces more AI-driven decisions, governance becomes critical. Who is accountable when AI misclassifies an incident or routes work incorrectly?
Strong AI governance includes:
- Transparency in AI decisions
- Human override options
- Clear ownership of AI models
- Regular audits of outcomes
Architects must design AI solutions that are assistive, not authoritative. AI should recommend, not dictate—especially in sensitive workflows like HR or Security.
Ethical AI also means avoiding bias. If historical data reflects bias, AI will replicate it.
Key takeaway: Responsible AI design builds trust—and trust drives adoption.
👉 How does your organization govern AI-driven decisions today?
#ServiceNow #EthicalAI #AIGovernance #ServiceNowMVP
