We audit data for AI Machine Learning systems to achieve inclusive and equitable practices through a trustable and secure bias-detection process.
Our ethical AI-powered technology is designed to detect discriminatory biases (race, ethnic, gender, age, disability, religion) within an institution’s data ecosystems. We assist in the development of how data becomes inclusive across the data lifecycle and provide recommendations to prevent bias. We listen, observe, analyse, and understand how your organization builds trust to create an inclusive society.
Watch our Founding CEO speak on a global panel by the World Health Organization as she discusses CornerstoneAI’s ethical technology systems.
She addresses the importance of inclusive AI (accountable, fair, and transparent) and why we detect biases such as ethnicity, gender, age or disability within an institution’s data ecosystems.
This affects an institution’s ability to conduct equitable business in various countries; how companies attract and retain talented employees; their brand loyalty; and the impact they have on rebuilding our economy post-COVID19.
organizations believe that ethical issues have resulted from the use of AI systems over the last 2-3 years
of consumers said they would place higher trust in a company whose AI interactions were seen as ethical.
of consumers said they would share positive experiences with friends and family.
of Canadians believe that the lack of diversity among people working in the field of AI could lead to biases in the technology being developed.