Establish a clear rationale for data collection
November 24, 2023
For data collection involving human subjects, why, how and by whom data is being collected should be established in the Pre-Design stage. Potential data challenges or data bias issues that have implications for diversity and inclusion should be identified by key stakeholders and data scientists. For example, in the health application domain, diverse data sources […]
Practice inclusive problem identification and impact assessment
November 24, 2023
A project owner (individual or organisation) with suitable expertise and resources to manage an AI system project should be identified, ensuring that accountability mechanisms to counter potential harm are built in. It should be decided which other stakeholders will be involved in the system’s development and regulation. Both intended and unintended impacts that the AI […]
Establish policies for how biometric data is collected and used
November 24, 2023
Establishing policies (either at the organizational or industry level), for how biometric data and face and body images are collected and used may be the most effective way of mitigating harm to trans people—and also people of marginalized races, ethnicities, and sexualities.