all AI news
Learning to Defer in Content Moderation: The Human-AI Interplay
Feb. 20, 2024, 5:42 a.m. | Thodoris Lykouris, Wentao Weng
cs.LG updates on arXiv.org arxiv.org
Abstract: Successful content moderation in online platforms relies on a human-AI collaboration approach. A typical heuristic estimates the expected harmfulness of a post and uses fixed thresholds to decide whether to remove it and whether to send it for human review. This disregards the prediction uncertainty, the time-varying element of human review capacity and post arrivals, and the selective sampling in the dataset (humans only review posts filtered by the admission algorithm).
In this paper, we …
abstract ai collaboration arxiv collaboration content moderation cs.ai cs.gt cs.hc cs.lg cs.pf human moderation online platforms platforms prediction review type uncertainty
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Software Engineer for AI Training Data (School Specific)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Python)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Tier 2)
@ G2i Inc | Remote
Data Engineer
@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US