Search results
This pretrained image model uses a Nyckel-created dataset and has 25 labels, including African and Caucasian. We'll also show a confidence score (the higher the number, the more confident the AI model is around the likely race based on the given characteristics).
2 lut 2022 · Regulation of advanced technologies such as Artificial Intelligence (AI) has become increasingly important, given the associated risks and apparent ethical issues.
29 lut 2024 · In this commentary, we first highlight three key aspects of an ethnography of AI that will contribute to the success of ethnographic studies: committed fieldwork, establishing trustful...
8 paź 2021 · Following Sparrow (Science, Technology, & Human Values 45:538–560, 2020), we suggest this presents a dilemma for those creating or representing AI. We discuss three possible solutions: avoiding anthropomorphisation, explicitly critiquing racial role-typing, and representing powerful AI as non-White.
2 maj 2024 · Diversity and Inclusion considerations in artificial intelligence (D&I in AI) are vital in designing, developing, and deploying AI systems, not only for ethical reasons but also for delivering trustworthy, reliable and equitable outcomes.
17 wrz 2020 · AI is used to study demographics and facial images of people from different racial backgrounds. To widen the knowledge related to AI and race, all four finding categories in this review...
The findings indicate that there are four relationships between AI and race (i). AI causes unequal opportunities for people from certain racial groups, (ii). AI helps to detect racial discrimination, (iii). AI is applied to study health conditions of specific racial population groups, and (iv).
