CornerstoneAI Executives Join Oxford Forum on Algorithmic Bias and Corporate Responsibility
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November 18, 2021
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Ethical AI for a better tomorrow
Reduce bias in your data using Ethical AI Technology
We audit data for AI Machine Learning systems to achieve inclusive and equitable practices through a trustable and secure bias-detection process.
The Problem we Solve
The lack of Ethical AI-powered Bias-free Technology
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.
This impacts how we enable your organization to handle issues ranging from cybersecurity and privacy; bias and discrimination; and ethics around equality, diversity, and inclusion that will ultimately change the economic trajectories of our society. That is why our audit service is driven by quality and ensures that diversity and inclusion are at the forefront of every phase in our AI audit technology.
Recent media engagement
CornerstoneAI on the Global Stage with W.H.O.
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.
Why CornerstoneAI?
We keep client trust & confidence at the center of everything we do
Novel Approach
We built an AI-powered debiasing platform that synergize three machine learning techniques and also includes custom ethical and regulation implications for your organization.
Credibility
Our team consist of researchers from Oxford University and McGill University, and other ethical AI industry thought-leaders in business, politics and entrepreneurship.
Efficiency
Our AI discriminatory debiasing automation platform can audit data with a couple of hours to a week depending on the size of your data. We also conclude our findings in a detailed report.
Value-Based Alignment
Our AI-powered audit seeks to create impact across an AI-first world that is aligns to various United Nations Sustainable Development Goals.
Our Global Impact
Building the Future of Equity with Ethical AI Technology
Private and public companies use AI for various prediction tasks ranging from loan application screening to job applicant qualification assessment, government agencies also use AI for high impact tasks such as recidivism predictions in criminal justice system or risk assessment in the healthcare industry. Unfortunately, multiple pieces of evidence have empirically demonstrated that AI predictions are prone to biases and need to be audited. A 2021 article by TD Bank called Responsible AI in Financial Services states:
9 out of 10
organizations believe that ethical issues have resulted from the use of AI systems over the last 2-3 years
62%
of consumers said they would place higher trust in a company whose AI interactions were seen as ethical.
61%
of consumers said they would share positive experiences with friends and family.
59%
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.
Artificial Intelligence Algorithms Are Only As Good As Their Data. Let’s Make Sure We Get It Right.
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November 16, 2021
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Take the first step towards eliminating discriminatory bias in your data today.
