AI Analysis: Finding an Expert in Machine-Learning Models

Since the first computer was taught to play checkers 70 years ago, computer scientists have focused on advancing artificial intelligence (AI) to make work more efficient and life a little easier. The power of AI is reliant on programming that enables a computer to recognize and analyze data within defined parameters. How are algorithms developed for machines to learn such tasks? IMS located an expert to parse the data and deliver the facts for a patent infringement dispute.

Primary Case Issue

Our client represented a company alleged to have infringed patents related to data analysis and noise reduction for machine-learning. They sought an expert who could work with counsel and other experts to address invalidity contentions and testify at trial.

Expert Witness Requirements

• At least 20 years of experience researching and developing machine-learning algorithms
• Advanced degree in a related field, such as computer science and engineering, electrical engineering, or information technology
• Prior deposition testimony experience required

Expert Witness Search

An IMS researcher identified nine expert candidates with advanced degrees specializing in data recognition for artificial intelligence and machine-learning. A recruiter reached out to each expert to clear conflicts and vet their credentials and experience. Profiles of five highly qualified candidates, each with more than 20 years of industry-related experience or academia, were sent to the client within five business days.

Expert Witness Placement

Our client’s chosen candidate had a robust research background, was widely published, and authored more than 20 patents. The expert had more than 30 years of experience in computer science and machine-learning and had previously testified in deposition and at trial.

Case Results

This case was dismissed.