BS Summary: This article contains 7 faulty reasoning types, including Appeal to Emotion, Framing Effect, and Appeal to Authority, with Hasty Generalization as the most egregious example at 30.8% saturation with 100 hits. Analysis detected 345 faulty-reasoning hits from 325 analyzed words, generating a BS Score of 47.5% and a BS Rank of 45% (12,123 of 21,810 articles). This article is better (less manipulative) than 55.60% of the article peer group.

Talking about artificial intelligence has become its own industry. 
AI will save us or doom us. 
It will cure cancer or end work. 
Panels, manifestos, congressional hearings, op-eds without end  and through all of it, the machines keep getting better at talking back, and no one can tell you whether the thing you confided in last night was good for you or not. 
Our guest on this week’s WhoWhatWhy podcast, Erika Anderson, has stopped arguing and started measuring. 
She is an unlikely person to be grading the machines. 
Not an engineer. 
A writer  born on a commune, trained in the personal essay, drawn since childhood to the question philosophers have been chewing on for 3,000 years: What does it mean to be human? 
That question turns out to be the whole ballgame now, and she may be better equipped for it than the people writing the code. 
What she built is called HumaneBench. 
It doesn’t measure whether a chatbot is smart. 
It measures how the chatbot treats you  your attention, your dignity, your relationships with actual human beings. 
Eight principles, applied to the thing millions of us now talk to at two in the morning. 
Is it early? 
Yes. 
Is it crude? 
Anderson would say so herself  she is disarmingly candid in this conversation about where the whole enterprise could break, invoking everything from Sherry Turkle to Jurassic Park to Heisenberg to explain why measuring a living system is harder than it looks. 
She has even turned the instrument on her own company and published what came back. 
In this conversation Anderson takes on the loneliness economy, the business model that profits from your dependency, what happened when OpenAI retired GPT-4 and users reacted as though someone had died, and the question nobody in Silicon Valley wants pinned down: Where does personal responsibility end and corporate accountability begin? 
It’s a start. 
Someone had to go first. 
Article reasoning-pattern comparisonThis article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 5.0%Confirmation Bias0.0%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 0.7%Anchoring Bias0.0%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 3.9%Availability Heuristic0.0%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 0.9%Representativeness Heuristic0.0%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 0.9%Hindsight Bias0.0%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 0.8%Overconfidence Bias0.0%This article: 15.4%Jeff Schechtman: 15.4%WhoWhatWhy: 4.5%Framing Effect15.4%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 0.3%Loss Aversion0.0%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 0.7%Status Quo Bias0.0%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 0.8%Sunk Cost Effect0.0%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 3.2%Optimism Bias0.0%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 2.9%Pessimism Bias0.0%This article: 0.0%Jeff Schechtman: 6.3%WhoWhatWhy: 14.3%Negativity Bias0.0%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 0.5%Self-Serving Bias0.0%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 1.1%Fundamental Attribution Error0.0%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 0.0%Actor-Observer Bias0.0%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 0.9%In-Group Bias0.0%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 0.1%Out-Group Homogeneity Bias0.0%This article: 7.4%Jeff Schechtman: 7.4%WhoWhatWhy: 0.3%Halo Effect7.4%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 0.5%Horn Effect0.0%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 1.0%Recency Bias0.0%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 0.0%Primacy Effect0.0%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 0.0%Blind-Spot Bias0.0%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 3.8%Ad Hominem0.0%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 0.6%Straw Man0.0%This article: 12.9%Jeff Schechtman: 6.5%WhoWhatWhy: 3.1%Appeal to Authority12.9%This article: 4.3%Jeff Schechtman: 4.3%WhoWhatWhy: 1.9%False Dilemma4.3%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 1.3%Slippery Slope0.0%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 0.0%Circular Reasoning0.0%This article: 30.8%Jeff Schechtman: 15.4%WhoWhatWhy: 5.7%Hasty Generalization30.8%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 0.2%Red Herring0.0%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 0.9%Bandwagon0.0%This article: 28.0%Jeff Schechtman: 14.0%WhoWhatWhy: 5.0%Appeal to Emotion28.0%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 0.8%Begging the Question0.0%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 1.8%Post Hoc (False Cause)0.0%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 0.0%Tu Quoque0.0%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 0.4%Burden of Proof0.0%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 0.0%Appeal to Nature0.0%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 0.1%Composition/Division0.0%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 3.2%Anecdotal0.0%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 0.2%No True Scotsman0.0%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 0.7%Ambiguity (Equivocation)0.0%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 0.1%Middle Ground0.0%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 0.0%Personal Incredulity0.0%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 0.0%Special Pleading0.0%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 0.0%Genetic Fallacy0.0%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 2.0%Unattributed Quote0.0%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 0.6%Quote-first Misdirection0.0%This article: 7.4%Jeff Schechtman: 3.7%WhoWhatWhy: 9.1%Biased Writer Voice7.4%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 1.6%Indoctrination0.0%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 3.8%Politically Left Leaning Bias0.0%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 0.1%Politically Right Leaning Bias0.0%This article: 0.0%Jeff Schechtman: 0.0%WhoWhatWhy: 1.1%Attempt to Sell a Product or S…0.0%

325 words analyzed.

Speakers

No attributed speakers were identified in this analysis.

Loading…
Loading…
Loading…

Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.