Where disclosure is legally required
- EU AI Act (Article 50) — chatbots must disclose AI; AI-generated media must be labeled; emotion recognition systems must inform users.
- California SB 1001 (Bot Disclosure Law) — bots used to incentivize purchases or influence votes must disclose.
- Colorado AI Act — consumer-facing AI for consequential decisions requires notice.
- Utah AI Policy Act — generative AI services must disclose when asked.
- Bar association rules — many state bars now require attorneys to disclose AI use in client work.
What good disclosure looks like
Plain language, presented upfront. "Hi, this is the AI assistant for [Business Name]. I can help with [X, Y, Z]. To reach a human, say 'representative' or press 0." For text: "Note: This conversation is handled by an AI assistant." For AI-generated marketing content (images, copy): a small but visible label. The disclosure should not require the user to find it in a privacy policy footer.
Sector-specific disclosure expectations
- Healthcare — disclose AI-assisted clinical decision support to patients per state telehealth rules.
- Legal — ABA Formal Opinion 512 requires lawyers to consider client disclosure of AI use.
- Financial services — SEC and FINRA expect advisor disclosure of AI used in advice.
- Employment — Colorado AI Act requires notice when AI is used in consequential employment decisions.
- Education — emerging state rules require disclosure of AI in K-12 grading or admissions.
Practical defaults for SMBs
Disclose AI use on every AI-driven inbound channel (voice, chat). Label AI-generated marketing materials when the labeling does not undermine the value. Document your AI use in customer-facing notices. The cost of over-disclosure is near zero; the cost of under-disclosure is regulatory exposure plus reputational risk if a customer feels misled.
What it means for your business
Disclosing AI on customer-facing surfaces costs nothing and protects you from rapidly multiplying state-level disclosure laws. Default to "yes, this is AI" and move on.
Related terms
- AI Ethics — AI ethics is the field examining what AI systems should and should not do, and who decides. Definition, principles, and practical SMB implications.
- AI Governance — AI governance is the policy and process layer for managing AI risk in an organization. Definition, frameworks, and what SMBs actually need.
- AI Data Privacy — AI data privacy covers how personal data is collected, processed, retained, and shared by AI systems. Definition, key laws, and a vendor checklist.
- AI Receptionist — An AI receptionist answers calls 24/7, books appointments, and writes to your CRM. Definition, pricing, and how it compares to a human receptionist.
- Conversational AI — Conversational AI is software that holds natural dialogue with users in text or voice. Definition, evolution, and what separates working systems from demos.