Joining Law and Data
Channel: DATAVERSITY
Date: 2021-09-01

As data becomes a strategic asset to generate revenue and provide a competitive advantage – a trend that COVID has increased – data professionals are at risk of having to retrofit rather than build to meet legal requirements. For regulatory and other reasons, companies employ General Counsel, whose job it is to focus on risk. And their demands become new demands.

In some cases, IP ownership is important. In other cases, data sharing is the actual business need. This is still an IP issue, but it's an IP licensing in combination with regulatory compliance and commercial agreements issue. Companies need the right data for AI, Machine Learning, and Natural Language Processing. People, as well as datasets, train algorithms, and therefore there needs to be a human loop built into ML. Machine-generated data as in Deep Learning, creates issues under the GDPR and other legal privacy, consent, and third-party data use. In addition, digital assistants such as Alexa generate new sources of data with new legal issues.  

We will discuss:
-Building in regulatory and other legal compliance systems 
What you need know about the scope of IP ownership and what conditions must be met 
-What is the legal vehicle for data sharing 
How has Covid advanced AI, and what are the implications for collaborative ML 
-What issues arise from ML machine-generated data 

Enterprise Data World 2021
William A Tanenbaum, Partner (Moses & Singer LLP)