The PDF included an AI Ethics Policy tab, but the exportable body for that tab contained no usable policy text. This page uses the AI ethics commitments present in the ToS and AI Content Notice.
Ethical AI Principles
This AI Ethics Policy states the operating principles ${brand} applies when designing, configuring, and supporting AI-assisted services powered by ${poweredBy}. The PDF source contained a separate AI Ethics Policy tab, but the exportable body for that page was not present; this page is therefore built from the AI ethics language in the ToS and AI Content Notice.
- Human accountability remains central to AI-assisted workflows.
- AI should support legitimate business operations, not replace responsible judgment.
- AI-assisted systems should be configured with clear rules, appropriate escalation, and review for sensitive use cases.
- AI workflows should be monitored for accuracy, bias, misuse, and operational reliability.
Human Oversight
AI-assisted content and actions should be reviewed when accuracy, customer impact, legal requirements, safety, financial consequence, or brand trust are material.
- Humans should approve or review sensitive messages, unusual requests, complaints, legal questions, medical or financial topics, account disputes, and escalation events.
- Clients are responsible for defining escalation thresholds, review workflows, permitted topics, and prohibited actions.
- AI outputs should not be treated as final authority in professional, regulated, or high-impact contexts.
Privacy and Data Minimization
AI workflows should use the minimum information reasonably needed to complete the configured business purpose.
- Avoid unnecessary sensitive personal information.
- Limit access to Client Data to authorized users, vendors, and systems needed to deliver the Services.
- Retain and export data according to the ToS, Privacy Policy, and customer configuration.
Fairness and Bias Monitoring
AI outputs may reflect incomplete data, biased training patterns, prompt ambiguity, or workflow configuration issues. ${brand} encourages review, testing, and feedback to reduce avoidable bias and improve output quality.
- Evaluate AI outputs for unfair, discriminatory, misleading, or inappropriate treatment.
- Report patterns of bias, inaccurate routing, or unsafe responses to ${email}.
- Adjust workflows, prompts, instructions, or human review rules where material risks are identified.
Safety and Abuse Prevention
AI tools must not be used to facilitate illegal, abusive, deceptive, or harmful activity.
- Do not use AI tools for fraud, phishing, impersonation, harassment, exploitation, malware, unlawful surveillance, or manipulative communications.
- Do not bypass AI safety filters, compliance controls, message consent requirements, or platform restrictions.
- Potential misuse may result in warning, suspension, termination, reporting, or legal action.
Transparency
Where appropriate, customers and end users should understand when AI-assisted workflows are involved, especially for voice, chat, SMS, email, support, scheduling, or intake interactions.
- Clients should provide disclosures required by law, platform policy, or business context.
- AI-assisted summaries, transcripts, and CRM notes should be treated as support records that may require human verification.
- Automated decisions and handoffs should remain explainable enough for operational review.
Review and Reporting
${brand} may review AI systems, workflow performance, user feedback, and reported issues to improve reliability and reduce risk.