Sam Putnam is CEO/Founder, and a Deep Learning Consultant, at VUC Inc., where Sam is responsible for directing projects, solving clients' problems, and training deep neural networks on large datasets for problems which require it. Sam previously worked at the Dartmouth Center for Imaging Medicine, the National Renewable Energy Laboratory, and the Lab for Cognition and Control in Complex Systems, where his work led to a faculty Google Research Award in Computer Science.
Sam is a contributor to the TensorFlow Machine Learning project and a member of the Machine Learning Society.
Wednesday Masterclass: Quality and Testing of AI Algorithms
Presenter: Sam Putnam
There was the voice recognition software that struggled to understand women, the crime prediction algorithm that targeted black neighbourhoods and the online ad platform which was more likely to show men highly paid executive jobs.
Artificial Intelligence programs learn to make predictions about the future by crunching through vast quantities of existing data. Decisions based on machine learning can be both incredibly useful and have a profound impact on our lives. Since the decision-making criteria are essentially learned by the computer, rather than being pre-programmed by humans, careful design of testing experiments becomes an essential component of evaluating the algorithms' performance in production environments.
In this hands-on workshop, you will be introduced to testing techniques and quality criteria for evaluating AI algorithms. You will first be introduced to several machine learning algorithms common in production, and then to important methodologies for safe practice in deploying these algorithms. At the end of the workshop, you will be exposed to pushback and challenges that have been publicized at large companies and in the media. Finally, you will leave with a solid, industry-standard framework for decision-making that a testing team must undergo to mitigate enterprise risk that is representative of information technology team best practices at Fortune 500 companies.