The Playbook: Data Sharing for Research Report & Infographic
The Playbook: Data Sharing for Research is an FPF report on the best practices for instituting research data-sharing programs between corporations and research institutions. FPF also developed a summary of recommendations from the full report as well as an infographic on The Value of Responsible Data Sharing for Research. The playbook addresses vital steps for data […]
Unfairness By Algorithm: Distilling the Harms of Automated Decision-Making Report & Infographic
Analysis of personal data can be used to improve services, advance research, and combat discrimination. However, such analysis can also create valid concerns about differential treatment of individuals or harmful impacts on vulnerable communities. These concerns can be amplified when automated decision-making uses sensitive data (such as race, gender, or familial status), impacts protected classes, or affects individuals’ eligibility for housing, employment, or other core services. When seeking to identify harms, it is important to appreciate the context of interactions between individuals, companies, and governments—including the benefits provided by automated decision-making frameworks, and the fallibility of human decision-making.