Aspen Digital

Researchers are typically responsible for studying technologies. Some researchers focus on building technological capabilities: creating state-of-the-art software tools, finding possible applications for technologies, and developing more capable hardware. Other researchers focus instead on impact: How do technologies influence humans and different sectors of society? AI researchers often have backgrounds in mathematics, linguistics, physics, sociology, computer science, psychology, and philosophy. When looking for researchers, try to find someone who has expertise in the specific impact or type of AI you are reporting on (see the Tech That People Call “Artificial Intelligence” chart for examples).

Data scientists use a variety of computational techniques, including machine learning, to identify patterns or meaningful insights in large datasets. These people are often employed by companies to make recommendations on business decisions, but they also exist in nonprofits and academia as well.

Product managers are responsible for defining the design requirements for a product, often through close relationships with customers (which may be individuals, businesses, or even government entities). These people might be responsible for scoping what a machine learning tool needs to be capable of for a client. (Sometimes project managers share these responsibilities.)