Align AI bias mitigation with relevant legislation
December 22, 2023
Bias mitigation should be aligned with relevant existing and emerging legal standards. This includes national and state laws covering AI use in hiring, eligibility decisions (e.g., credit, housing, education), discrimination prohibitions (e.g., race, gender, religion, age, disability status), privacy, and unfair or deceptive practices.
Develop AI literacy and education programs
December 18, 2023
An ‘AI-ready’ person is someone who knows enough to decide how, when and if they want to engage with AI. Critical AI literacy is the pathway to such agency. Consequently, governments should drive the equitable development of AI-related skills to everyone from the earliest years via formal, informal, and extracurricular education programs covering technical and soft skills, along with awareness of digital safety and privacy issues. Governments and civil society organisations should create, and fund grant schemes aimed at enhancing the enrolment of women in AI education. Organizations also can play a critical role via paid internships and promoting community visits, talks, workshops, and engagement with AI practitioners. To harness the potential of increasing diversity and inclusion in the global AI ecosystem, such opportunities should prioritise participation (as facilitators and participants) of people with diverse attributes (including cultural, ethnic, age, gender identification, cognitive, professional, etcetera).
Establish inclusive AI Infrastructure
December 18, 2023
An inclusive AI ecosystem involving the broadest range of community members requires equitable access to technical infrastructure (computing, storage, networking) to facilitate the skilling of new AI practitioners and offer opportunities for citizens’ development of AI systems. Governments should invest in computing facilities and education programs, and work with civil society organizations to support national and global networks.
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.