{"repo":"AmirhosseinHonardoust/Abstention-is-Product-Feature","free":true,"listed":false,"github":"https://github.com/AmirhosseinHonardoust/Abstention-is-Product-Feature","clone":"git clone https://github.com/AmirhosseinHonardoust/Abstention-is-Product-Feature.git","description":"Longform article reframing abstention (reject option / selective prediction) as product design, not model weakness. Covers coverage as a KPI, calibration as a prerequisite, threshold selection under review capacity and risk, queue/UX design for human-in-the-loop workflows, and anti-patterns that break safety in production.","language":null,"stars":10,"topics":["abstention","ai-safety","calibration","coverage","decision-systems","human-in-the-loop","machine-learning","metrics","mlops","model-evaluation"],"license":"MIT","category":"machine-learning","readme_excerpt":"Abstention Is a Product Feature, Not a Model Failure Most teams treat abstention like a stain on model quality: “The model refused.” “It didn’t know.” “It couldn’t decide.” But in the real world, abstention is often the only reason an automated system is safe enough to exist. A good decision system does two jobs: 1. Make correct decisions when it’s confident. 2. Know when it’s not safe to decide. That second job is not weakness, it’s product maturity. This article is about reframing abstention from “model embarrassment” to product design : how you build decision lanes, route uncertainty, measure coverage, and ship a workflow people can trust. --- The hidden truth: every product already has abstention Even if you never planned it. Your checkout fraud model “abstains” when it triggers manual review. Your content moderation tool “abstains” when it escalates to a human. Your analytics pipeline “abstains” when it drops bad events. Your recommender “abstains” when it falls back to trending items. Sometimes you call it: escalation review queue “needs verification” fallback logic safe mode “data missing” But it’s the same thing: the system chooses not to decide because deciding would create unacceptable risk. The problem is not whether abstention exists, it’s whether it’s explicit, measurable, and designed , or accidental and chaotic. --- A definition that makes abstention feel like a feature Abstention means the system returns one of two outcomes: Decision: “I will take action” (app","default_branch":null,"files":null,"tree":[],"storefront":"/r/AmirhosseinHonardoust","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/AmirhosseinHonardoust/Abstention-is-Product-Feature/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}