Ready to start an AI service? Check? 6 Essential Checklists for AI Entrepreneurs

Chatbots, recommendation services, generative AI, healthcare solutions… Ideas abound, but when it comes to actually commercializing them, many aspects make you wonder, "Do I really need to handle all this?" Today, we've compiled six essential legal regulations you must know when preparing to launch an AI service business overseas, along with key strategies useful for planning AI services.

1️⃣ Data security, GDPR/CCPA compliance, AI result disclosure, and collaboration with local legal experts are essential!

When operating AI services, data is both your greatest asset and your biggest risk. Check out the details of legal and regulatory strategies below.

✅ Category	✅ Checklist
Data Security	Anonymization, end-to-end encryption, consent withdrawal management
Global Regulations	GDPR, CCPA, Local Law Compliance
Terms of Service	AI result notification, error recovery
Regional Response	Collaboration with Local Legal Experts

• Data Security: Anonymize personal information and apply strong encryption standards (AES-256, SSL/TLS) during storage and transmission.
• GDPR·CCPA Compliance: Consent-based data collection, guaranteeing user access and deletion rights, and disclosure of sold or shared information are required.
• AI Result Disclosure: Clearly inform users that "this information was generated by AI."
• Collaboration with Local Legal Experts: We recommend consulting with AI-related legal experts from the outset to comply with regulations in regions like Korea, the EU, and the US.

Even AI services developed in Korea are subject to the laws of California (CCPA) or the European Union (EU, GDPR) if they serve users in those jurisdictions. You can find articles about California (CCPA) and the European Union (EU, GDPR) in the links below.

AI Services Go Global, GDPR-CCPA Preparedness in a Nutshell

2️⃣ Ethics and Trust Strategy: Minimizing Bias, Providing AI Explanations, Blocking Profanity and Fake Accounts

User trust is the lifeline of our business. Details of the Ethics and Trust Strategy are outlined below.

✅ Category	✅ Checklist
Minimizing Bias	Diverse training data, regular verification
Explainability	Provide explanations to users
AI Disclosure	Disclose AI-generated results
Protection of Vulnerable Groups	Separate Protection Policy
Preventing Abuse	Blocking Profanity and Fake Accounts

• Minimize AI Bias: Use fair training data and verify periodically.
• Explainability: Inform users "why this result was produced."
• AI Result Disclosure: Clearly indicate when results are generated by AI.
• Protect Vulnerable Groups: Pay special attention to minors and sensitive topics.
• Prevent Abuse: Implement bot detection and profanity blocking systems.

3️⃣ Service Operation and Technical Strategy

Details on service operation and technical strategy can be found below.

✅ Category	✅ Checklist
Model Management	Performance Verification, Feedback Incorporation
Fault Response	Fallback messages, real-time monitoring
Version Management	API/Model Version Management, Public Changelog

• Model Management: Regularly inspect performance and improve based on user feedback.
• Operational Failure Response: Notify users of the situation when failures occur.
• Version Management: Manage API and model versions, transparently disclose update history.

4️⃣ Communication Strategy

The details of the communication strategy can be found below.

✅ Category	✅ Checklist
User Training	AI Usage Guide, FAQ
Feedback Channels	Like/Dislike, Feedback Form
Crisis Response	Sensitive Issue Notification Template

• User Education: Teach users how to communicate effectively with AI.
• Feedback Channel: Collect feedback and improve periodically.
• Crisis Communication: Use announcement and guidance templates when issues arise.

5️⃣ Business and Monetization Strategy

Details on business and monetization strategies can be found below.

✅ Category	✅ Checklist
Monetization Model	Premium tier, ad display
Partnerships	Data Ownership, Contract Management

• Monetization Model: Manage distinctions between free and paid services, ad display, and auto-renewal.
• Partnership Management: Clearly define data usage scope and contract terms.

6️⃣ Community and Cultural Strategy

Details of the Community and Culture Strategy can be found below.

✅ Categories	✅ Checklist
Community	Prohibit profanity, encourage warm feedback
Brand Character	Friendly tone, use of memes

• Community Guidelines: Foster a positive communication culture.
• Brand Character: Give your AI a warm personality to engage with users.

Additional Recommended AI Service Marketing Strategies

💼 AI Service Marketing Strategy

Strategy	Description
Content Marketing	AI use cases, blogs, SNS exposure
SEO Optimization	Keyword and meta tag optimization
User Testing	Closed beta operation, securing early user feedback

• Content Marketing: Share success stories and AI usage tips to boost brand awareness.
• SEO Optimization: Strengthen search visibility with keywords and meta tags.
• User Testing: Gather feedback from early adopters to refine your product.

Frequently Asked Questions (FAQ)