Accountable Algorithm
Specialists in Bias & Fairness Audits of AI, Data, and Algorithms
When technology can be used by anyone, it needs to be fair to everyone.
The Problem
Modern algorithms exist in a feedback loop. Users create data; data trains an algorithm; the algorithm powers a product; the product generates more data. Societal biases and inequalities such as racism and sexism can be reflected in the data, and become trained into the algorithm. Feedback loops can amplify bias, making the problem worse and compounding it over time.
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This hurts your users, and it hurts you. In addition to damaging your company's reputation, algorithmic bias directly harms your bottom line. User growth stagnates when algorithms are systematically unfair to large portions of the population.
Algorithms power products
Users create data
Data trains algorithms
How we can help
If your company deploys or develops AI / machine learning, we can help make sure that your algorithms are fair, accountable, and transparent.
Diagnosis
Do your algorithms give all your users the same opportunity? We can help determine if biases are inherited in upstream data, whether they are exacerbated by the algorithms, and measure the impact of the bias.
Remediation
How do you fix the problem? We can identify opportunities to solve bias issues in data and algorithms. We can develop improved algorithms that offer a win-win for users as well as the company.
Monitoring
How do you ensure your algorithms stay accountable? We develop monitoring and testing plans to help you ensure that your algorithms stay fair.
Learn more about our services.
Get in touch
If you'd like to discuss how we can help you, email us at hello@accountablealgorithm.com