Why: AI Ethics Review
Adverse Impact Analysis
Ensure a sufficiently robust evaluation method exists to verify the model inferences do not adversely impact any of the protected classes: race, gender, age, and other demographic aspects.
AI Model Discriminative Bias
This audit ensures sufficient measures are in place to detect and eliminate discriminative bias in the model inferences to the extent feasible. We evaluate whether the data used to build the model is representative of all users.
AI Model Vulnerability & Distributional Drift
We assess the precautionary processes and mitigation measures in place and ensure enough processes are in place to detect any distributional drifts early and remedy them as part of the AI pipeline.
Testimonials: What Our Clients Are Saying
Without their help, we may have gone out of business. We saw a 1,000% increase over the maximum capacity of our legacy systems, over 48,000 orders per day, and an average of 75 million page views and 2.3 million unique users each month in 2017.
Asif is a brilliant computer scientist, a physicist, an original thinker, an erudite scholar, and an artist who can sculpt new algorithms, and paint new solutions, veritably a Leonardo da Vinci of our times, and a passionate educator with deep insight into AI/ML/DL/Data-Science/Big-Data topics.
When it comes to Big-data and machine learning, I would simply say he (Asif) knows A-Z in that. No matter what the domain is, he has machine-learning-based solutions for the problems involved. Working with him for years, I have realized how his predictions on the machine learning revolution in big data have come true.
We’ve done development in the past..the SolutionMap is a higher level way of defining a comprehensive approach to getting the success that you want.
It was not just about software…it was all about what is this going to do in your company, how are the people in your organization with your partners and with your other stakeholders going to interact with this piece of software and what are their expectations of it…it also helped us on the backside thinking about our business processes…it was really illuminating to me.
From the design through to the development detail, they listened, understood, and carefully tested before release, often pushing our initial ideas to a better outcome.