AI, IP, and Data Interoperability Best Practices for Deploying AI

• Trade secret protection for AI algorithms
• AI and patents
• Who owns the output of machine learning?
• Data loss prevention
• Data interoperability, scraping and data protection
• Litigation strategies

• Accessing good test data
• Avoiding bias 
• Identifying “good” and “bad” uses of AI
• Using AI to identify fraudsters, for industrial uses, and content moderation
• AI and privacy concerns