Record summary
A quick snapshot of what this page covers.
Risk profile
How this risk is described and categorized.
"The AI research establishment inherits patterns of under-representation that are dominant in most technical elds. In North America, large parts of professional AI research require a Ph.D., yet less than 25% of Ph.D. computer scientists are women, and fewer than 2% are Black or African American [608]. This holds globally and outside the research community: LinkedIn data suggests that only 22% of AI professionals are women [161]. Since the vast majority of AI practitioners work for private companies, limited corporate statistics on gender and racial diversity hinder a full understanding of the situation [402], but those few statistics that exist are not encouraging: only 5% of Google and 7% of Microsoft employees are Black or African American, with potentially even lower representation at the more senior levels [212, 384]."
Suggested mitigations
Defenses that may help with related attacks.
Source
Research source for this risk, when available.
Included resource
Ten Hard Problems in Artificial Intelligence We Must Get Right
Original source
MIT AI Risk Repository
Open the public repository used for AI risk records and taxonomy fields.
