Validate your algorithm with an external audit
BENEFITS OF AN ALGORITHMIC AUDIT
You know you have many sources of data points and that AI-powered technology can help you capture and extract value from that data in ways that will give you a competitive edge.
But you’re in the dark about where you’re vulnerable. We can help.
UNDERSTAND YOUR LEGAL RISKS
When an algorithm renders a wrong decision and the business unknowingly executes on that decision, legal disputes over responsibilities might arise between AI technology providers and companies.
We help you understand your risks and answer the question: What could go wrong?
ADDRESS ALGORITHMIC BIAS
Algorithmic bias is not just about race, gender and age discrimination.
AI-powered algorithms can identify the wrong patient, target market, hire, investment, pandemic, X factor, etc. Biases are almost always unknown unknowns.
An algorithmic audit identifies, addresses and corrects algorithmic bias so that you can act on informed and vetted AI-powered business recommendations.
Most algorithmic systems need to be trained on lots of historical data.
As a result, AI-powered technologies are often based on data drawn from past behavior and aren’t prepared to deal with massive shifts in behavior because of a horrible pandemic or financial crisis.
So when the present suddenly stops looking like the recent past, algorithms end up performing much worse than expected. Events without historical data, understanding context is even more crucial.
Algorithmic audits can help.
AN ALGORITHMIC AUDIT PROVES
Represents the population.
Engages with all individuals and doesn’t automatically target a protected group.
Provides an unambiguous rationale for all decisions made.
Performs reliably and safely.
Continuously manages risk – pandemic, sudden financial crisis, or a rare outlier event.
If you want to know if your algorithms work or not, let's talk!
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