With the recent advancements in LLMs, discussions about automating the annotation process have become increasingly common. It's easy to fall into the trap of assuming that ML models can simply replace the annotation and labeling work traditionally done by humans. This paper explains the context, quality, and desired outcomes you should consider for your business when the topic arises.
With a background in communication studies and interaction design, Claudel Rheault is a user experience research lead focused on human-AI interactions at Sama. Her research areas include human in the loop systems, trust building with AI tools and human-centered product development. Over the past 8 years, Claudel has worked in design agencies, helping clients leverage AI in their digital initiatives, and also in startups helping build ML powered products for finance, cybersecurity and document processing. She is now dedicated to creating solutions for when humans and AI come together.
Jerome Pasquero holds a Ph.D. in electrical engineering from McGill University and has gone on to build leading-edge technologies that range from pure software applications to electromechanical devices. He has been a key contributor to the design of innovative and successful consumer products that have shipped to millions of users. Jerome is listed as an inventor on more than 120 US patents and has published over 10 peer-reviewed journal and conference articles. For the past 5 years, Jerome has been leading a number of AI product initiatives.
Sama provides ML Professionals and AI team Leads with an indispensable solution for Computer Vision data labeling.
