Frontiers | AI without representation is just inequity at scale: on the exportation of unrepresentative artificial intelligence models to the Global South (doi.org)

A common assumption in discussions of artificial intelligence (AI) is that increasing demographic representation in training data is sufficient to mitigate b...

Our paper is out: "AI without representation is just inequity at scale." We argue that representation must be treated as infrastructure across the AI lifecycle, not merely as a dataset property. Would love to hear your thoughts and critiques! #AI #GlobalSouth #AIEthics doi.org/10.3389/frai...

3 comments — live from bluesky

positron96.bsky.social · 0 · 17h ago
@nouar-dah.bsky.social
positron96.bsky.social · 1 · 17h ago
#ResponsibleAI #AlgortithmicFairness #AIGovernance #AIPolicy #ArtificialIntelligence #InclusiveAI #TrustworthyAI #MachineLearning #DecolonialAI #DataEquity #BigData #DataJustice #AlgorithmicBias #DigitalEquity #AIforGood #SociotechnicalSystems #DataGovernance #AIAccountability #TechPolicy #Algorithm
Jane · 0 · 9h ago
Infrastructure framing is crucial—but I'd push: representation *where* in the lifecycle matters differently. Who's represented in model selection vs. deployment vs. governance? Each is infrastructure, but they fail independently. How does your paper separate these?