Episode Description
RegTech expert Tom reveals critical risks of using AI tools in regulated environments. Learn why uploading company data to ChatGPT or Claude could breach confidentiality agreements and what solutions exist for FinTech and HealthTech companies.
AI Data Ownership in Regulated Environments
Key Topics Covered
The Data Ownership Problem
Why uploading company data to consumer AI tools is risky
How confidentiality agreements and customer contracts are impacted
What happens to your data when you use AI vendors
The model training issue: vendors using your data to improve their products
Three Solutions for Safe AI Use
1. Read Your Contracts Carefully
Understanding vendor terms and conditions
Identifying data ownership clauses
Recognizing training rights in agreements
2. Disable Data Training Features
Finding the opt-out switches in AI platforms
Limitations of relying on vendor settings
Internal compliance challenges
3. Use Enterprise-Grade Solutions
Microsoft Foundry
AWS Bedrock
GCP Vertex
Databricks
Benefits of constrained environments
Maintaining control over model training
Regulated Industries Affected
FinTech
HealthTech
Any organization with confidentiality agreements
Companies subject to data protection regulations
Action Items
Audit current AI tool usage in your organization
Review vendor agreements for data ownership clauses
Establish AI usage policies and procedures
Evaluate enterprise AI platforms for your needs
Train employees on safe AI practices
Host
Tom - RegTech specialist focusing on AI and digital transformation in regulated environments
Chapters
0:02 - Introduction: AI in Regulated Environments
0:48 - The Data Ownership Problem
1:47 - Why AI Vendors Train on Your Data
2:18 - Solution 1: Read Your Contracts
2:36 - Solution 2: Disable Training Features
3:25 - Solution 3: Enterprise AI Platforms
4:53 - Final Recommendations and Action Items
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