Welcome all Officials and Members of the Public

Free and Fair Commonsense Algorithms for Society

Free and Fair Commonsense Algorithms for Society is an initiative providing open-source machine learning algorithms for assistance with difficult decisions for a range of social situations where objectivity is paramount.

Bail Amount Algorithm

The Bail Amount Algorithm assists judges by objectively determining the amount bail should be set at based on information about the defendant.

Health Insurance Claim Algorithm

The Health Insurance Claim Algorithm helps insurance companies determine the percentage of an individual’s hospital bill they should cover.

Higher Education Grant Algorithm

The Higher Education Grant Algorithm helps officials calculate the amount of Federal grant funding to be awarded to student applicants.

Free and Fair Commonsense Algorithms for Society’s mission is to develop and promote equitable, auditable, and accessible machine learning solutions that improve the quality of life for all people equally.

Not all algorithmic decision making systems have the public’s interest in mind. When for-profit companies are employed to create public service algorithms, they bias their systems towards benefitting the client organizations while compromising the public. This is because these algorithms are designed by organizations and for organizations, instead of by the people and for the people.

We believe that algorithms, when deployed in situations where an individual’s well being can be impacted, require a radical rethinking before they are put into use. Most importantly, these algorithmic decision making systems need to be designed in the interest of the public. They also need to be completely and fully auditable, and demonstrate they have the public’s interest in mind throughout every step of the development process. Lastly, they need to be free of cost, easily accessible, and simple to use. Every algorithm provided by Free and Fair Commonsense Algorithms for Society lives up to these standards. We create and provide free and impartial alternative machine learning solutions available for everyone to test, and for officials to use.