Diana Akrong

"Everyone wants to do the model work, not the data work": Data Cascades in High-Stakes AI

AI models are increasingly applied in high-stakes domains like health and conservation. Data quality carries an elevated significance in high-stakes AI due to its heightened downstream impact, impacting predictions like cancer detection, wildlife poaching, and loan allocations. Paradoxically, data is the most under-va…