This report from Hunton Andrews Kurth examines intellectual property ownership and licenses related to the machine learning process and how companies can ensure that data protection and security obligations are addressed and risks are mitigated.
Hunton Andrews Kurth — Training a Machine Learning Model Using Customer Proprietary Data
Tags: Big Data, Ethics, Infosecurity, Privacy Research
CIPM, CIPP/A, CIPP/C, CIPP/E, CIPP/G, CIPP/US, CIPT
Global Legal Insights: AI, Machine Learning & Big Data 2021
This report, published by Global Legal Insights, creates a framework and understanding of artificial intelligence by addressing legal challenges, providing insight from a terminological and technological perspective and assessing the challenges AI poses....
Web Conference: Machine Language, Artificial Intelligence and Usage Data
Original broadcast date: March 24, 2020 Many technology relationships are different. The potential roles in relation to secondary data use challenge this binary controller to processor / business to service provider categorization. From these new relationships technological, ethical, practical and ...
Web Conference: Is Privacy Built in to Your Automated Decisions That Use AI?
Original broadcast date: June 10, 2020 How do you do balance privacy and ethics in artificial intelligence as you add data scientists and analysts who aren’t aware of the required policies and controls? How do you ensure your policies are covering the uniqueness of this technology? How are you prov...
There's Nowhere to Hide: Artificial Intelligence and Privacy in the Fourth Industrial Revolution
This report from The Wilson Center, Synenergene and the Institute for Philosophy & Public Policy looks at the privacy and security threats that artificial intelligence and machine learning pose to individuals in this emerging industrial revolution. ...
How to address new privacy issues raised by artificial intelligence and machine learning
This article from Brookings looks at how lawmakers, companies and consumers can address new privacy concerns raised by artifical intelligence and machine learning. Click To View ...