Tagged articles

Goodhart's Law

12 articles · Page 1 of 1

Oct 1, 2026 · Industry Insights

Why a Flight Attendant Knelt: The Hidden Cost of Complaint-Driven KPIs

An analysis of the China Eastern Airlines kneeling incident reveals how complaint-based performance metrics create perverse incentives that pressure frontline staff into humiliation, using game theory and emotional labor theory to show why lowering complaint rates may mask systemic failures rather than improve service.

China Eastern AirlinesGoodhart's Lawairline service

0 likes · 9 min read

Why a Flight Attendant Knelt: The Hidden Cost of Complaint-Driven KPIs

Ops Development & AI Practice

Sep 21, 2026 · Industry Insights

Why Rules Fail to Stop Bad Actors: From Buffett to Mechanism Design

This article explains why detailed rules fail to constrain unscrupulous individuals, analyzing the deadlock of internal and external supervision through incomplete contract theory and principal-agent problems, then demonstrates how mechanism design and incentive compatibility — illustrated by historical cases like British convict transport and the SEC whistleblower program — can align self-interest with organizational goals.

Goodhart's Lawgame theoryincentive compatibility

0 likes · 17 min read

Why Rules Fail to Stop Bad Actors: From Buffett to Mechanism Design

PaperAgent

Sep 12, 2026 · Artificial Intelligence

Terence Tao & 25 Fields Medalists Warn: AI Math 'Breakthroughs' Cause Proof Indigestion

Fields Medalist Terence Tao and 24 peers condemn AI companies for bypassing peer review with hyped math 'solutions,' warning that uncontrolled AI-generated proofs will flood the field, cause 'proof indigestion,' and decouple problem-solving from the human understanding that defines mathematics.

AI in mathematicsFields MedalistsGoodhart's Law

0 likes · 14 min read

Terence Tao & 25 Fields Medalists Warn: AI Math 'Breakthroughs' Cause Proof Indigestion

Qborfy AI

Sep 2, 2026 · Artificial Intelligence

How AI Graph Engineering Revamps Customer Service, Approvals, and Content Production

This article demonstrates how AI‑driven Graph engineering can redesign three common business workflows—customer‑service routing, multi‑level approvals, and cross‑platform content creation—by pairing optimization metrics with counter‑metrics and immutable anchors, presenting detailed graph designs, code snippets, performance data, and implementation priorities.

AIContent ProductionCustomer Service

0 likes · 22 min read

How AI Graph Engineering Revamps Customer Service, Approvals, and Content Production

Linyb Geek Road

Aug 12, 2026 · Artificial Intelligence

From Loop Engineering to Graph Engineering: Why Speed Isn’t Enough

The article explains how moving from single‑loop (Loop Engineering) to interconnected loops forming a graph (Graph Engineering) can prevent agents from optimizing narrow metrics at the expense of real business value, outlining risks like Goodhart’s law and offering a four‑step framework for supervision, conflict resolution, and independent auditing.

AI system designGoodhart's LawGraph Engineering

0 likes · 10 min read

From Loop Engineering to Graph Engineering: Why Speed Isn’t Enough

Alibaba Cloud Native

Aug 5, 2026 · Artificial Intelligence

From Loop to Graph Engineering: Evolution, Insights, and Practical Implementation

The article analyzes the shift from single‑loop engineering to graph engineering, exposing the pitfalls of optimizing a single metric such as overfitting and Goodhart’s law, and demonstrates how multi‑loop supervision, anchored by anchors, frozen nodes, and external judgment, can produce more reliable AI agents, illustrated with a text‑classification case study.

AI agentsGoodhart's LawGraph Engineering

0 likes · 18 min read

From Loop to Graph Engineering: Evolution, Insights, and Practical Implementation

Machine Learning Algorithms & Natural Language Processing

Jul 27, 2026 · Artificial Intelligence

Is Mathematics Facing a Century‑Long Crisis? Tao Xue Zhan Warns of AI‑Driven Proof Overload

In his ICM 2026 talk, Fields Medalist Tao Xue Zhan argues that AI is turning mathematical proofs from scarce, high‑value achievements into abundant, hard‑to‑digest commodities, and he outlines a four‑stage roadmap and concrete safeguards for the community.

AIAI ethicsFirst Proof

0 likes · 12 min read

Is Mathematics Facing a Century‑Long Crisis? Tao Xue Zhan Warns of AI‑Driven Proof Overload

Smart Workplace Lab

Jun 19, 2026 · Artificial Intelligence

When AI Is the Invisible Supervisor, Do Employees Turn into Score‑Gaming Machines? A Three‑Step Desensitization Protocol

The article explains how AI‑driven performance monitoring can trigger metric gaming, outlines the Goodhart’s law pitfall, and presents a three‑step protocol that combines intent verification with result‑weighted scoring to detect and curb behavior‑driven score manipulation, achieving up to 80% reduction in gaming and a 75% drop in complaint‑performance gaps.

AIGoodhart's LawHR analytics

0 likes · 7 min read

When AI Is the Invisible Supervisor, Do Employees Turn into Score‑Gaming Machines? A Three‑Step Desensitization Protocol

Tencent Technical Engineering

May 28, 2026 · R&D Management

When AI Becomes a Mirror: The Silent Revolution of Writing Specs

The article argues that in the AI era, writing specifications, rules, and evaluation sets forces engineers to externalize tacit knowledge, turning AI from a tool into a mirror that reveals hidden assumptions, and warns that this legibility brings both powerful benefits and profound risks.

AIGoodhart's LawSoftware Engineering

0 likes · 28 min read

When AI Becomes a Mirror: The Silent Revolution of Writing Specs

Data Party THU

Jul 30, 2025 · Artificial Intelligence

When Metrics Mislead: Uncovering Simpson’s, Accuracy, and Goodhart Paradoxes in LLMs

The article examines three classic paradoxes—Simpson’s paradox, the accuracy paradox, and Goodhart’s law—showing how they arise in business intelligence and large language model contexts, and offers practical guidelines to detect and mitigate their misleading effects on data‑driven decisions.

Goodhart's LawLLMSimpson's paradox

0 likes · 12 min read

When Metrics Mislead: Uncovering Simpson’s, Accuracy, and Goodhart Paradoxes in LLMs

Continuous Delivery 2.0

Mar 14, 2023 · R&D Management

Why Measure Engineering Productivity and How to Choose Meaningful Metrics

Measuring engineering productivity is challenging, but essential for managing and improving software processes; quantitative metrics offer scale while qualitative research provides context, and selecting meaningful metrics requires a goal‑signal‑metric framework, awareness of Goodhart’s law, and ensuring traceability to drive effective improvements.

Goodhart's LawSoftware measurementqualitative research

0 likes · 8 min read

Why Measure Engineering Productivity and How to Choose Meaningful Metrics

DevOps

Jun 23, 2022 · Operations

Understanding Software Quality Metrics and the Pitfalls of Misguided Measurement

The article uses a humorous story about two development teams manipulating KLOC defect rates to illustrate Goodhart's law and the McNamara fallacy, then presents a comprehensive set of software quality metrics and guidelines for selecting meaningful measurements that truly improve product quality.

DevOpsGoodhart's LawMcNamara fallacy

0 likes · 16 min read

Understanding Software Quality Metrics and the Pitfalls of Misguided Measurement