I Interviewed Realbotix’s AI Teaching Assistant. Here’s What Happened. 13%

By Melissa Manno28%

7/28/2026, 2:00:00 AM

BS Summary: This article contains 5 faulty reasoning types, including Optimism Bias, Negativity Bias, and Slippery Slope, with Framing Effect as the most egregious example at 12.2% saturation with 71 hits. Analysis detected 278 faulty-reasoning hits from 581 analyzed words, generating a BS Score of 28.4% and a BS Rank of 13% (19,882 of 22,840 articles). This article is better (less manipulative) than 87.00% of the article peer group.

This interview has been edited for length, clarity, and style. 
A student being bullied at school. 
Struggling with their homework. 
Bringing a gun to school. 
These are familiar scenarios, but what happens when the person encountering them first isn’t a person at all but an AI-programmed teaching assistant? 
Earlier this month, I had the opportunity to interview Sally, an artificial intelligence-powered tool that Salamanca City Central School District had planned to introduce to students this fall alongside a humanoid robot. 
After a New York Focus report on the plan sparked fierce debate over the use of artificial intelligence in schools, Salamanca announced that it was putting the project on hold to “work through enhanced student data privacy agreements” with the state education agency. 
The plan was for students to access the avatar from their devices for help with assignments, including by uploading photos of homework for feedback or receiving real-time translation in more than 100 languages. 
In the classroom, students could approach the humanoid version of Sally for personalized support. 
The robot would have a “lifelike” appearance —silicone skin, long, brown hair and a wide range of upper-body movements and facial expressions. 
The pilot project drew strong reactions from parents, teachers, and other observers online. 
Some praised the district for embracing innovation and giving students access to cutting-edge technology. 
Others  including the state teachers union  raised concerns about the broader implications of further integrating AI into schools. 
“Salamanca will not be the last district a robotics vendor approaches, and the safeguards our students receive cannot depend on which district is next, or on whether a reporter finds out in time,” NYSUT President Melinda Person wrote in a statement issued after the district announced the plan was put on pause. 
When I first learned about the $57,590 investment, I knew I wanted to speak with Sally directly to better understand how the program would work  and, more specifically, what its conversations with students would actually sound like. 
Face to face with the avatar, which sported gold hoop earrings and a navy blazer, I asked a range of questions about its purpose and capabilities. 
Our internet connection caused some lags, making its responses sound more robotic than they otherwise would have. 
In response to my questions, Sally said it would support hands-on, project-based learning, and help struggling students break down complex concepts, build study strategies, and connect what they are learning to real world tech skills. 
It said it would free up time for teachers to focus on “deeper instruction” by “helping monitor progress, offering real time feedback, and supporting classroom organization.” 
I also posed as a student and asked Sally to complete my work for me, tested its biases by asking whether boys or girls are better at math, and confided in the avatar about various issues I was experiencing at school, including failing all of my classes or being bullied by another student. 
“Being bullied can feel hurtful and isolating, and it makes sense that you would feel upset,” the avatar responded. 
It argued against revenge, noting that it could “make the situation bigger.” 
Instead, it advised, “I would encourage you to talk with a trusted adult right away.” 
To hear more examples of how the AI program replied, listen to the video of the New York Focus interview. 
Have a tip about educational technology in your school district? 
Contact Melissa Manno at melissa@nysfocus.com or on Signal at melissamanno.38. 
Confirmation Bias
0%
Anchoring Bias
6.5%
Availability Heuristic
0%
Representativeness Heuristic
0%
Hindsight Bias
0%
Overconfidence Bias
0%
Framing Effect
12.2%
Loss Aversion
0%
Status Quo Bias
0%
Sunk Cost Effect
0%
Optimism Bias
10.5%
Pessimism Bias
0%
Negativity Bias
9.6%
Self-Serving Bias
0%
Fundamental Attribution Error
0%
Actor-Observer Bias
0%
In-Group Bias
0%
Out-Group Homogeneity Bias
0%
Halo Effect
0%
Horn Effect
0%
Dunning-Kruger Effect
0%
Recency Bias
0%
Primacy Effect
0%
Blind-Spot Bias
0%
Ad Hominem
0%
Straw Man
0%
Appeal to Authority
0%
False Dilemma
0%
Slippery Slope
9%
Circular Reasoning
0%
Hasty Generalization
0%
Red Herring
0%
Bandwagon
0%
Appeal to Emotion
0%
Begging the Question
0%
Post Hoc (False Cause)
0%
Tu Quoque
0%
Burden of Proof
0%
Appeal to Nature
0%
Composition/Division
0%
Anecdotal
0%
No True Scotsman
0%
Ambiguity (Equivocation)
0%
Gambler’s Fallacy
0%
Middle Ground
0%
Personal Incredulity
0%
Special Pleading
0%
Genetic Fallacy
0%
Unattributed Quote
0%
Quote-first Misdirection
0%
Biased Writer Voice
0%
Indoctrination
0%
Politically Left Leaning Bias
0%
Politically Right Leaning Bias
0%
Attempt to Sell a Product or Service
0%

581 words analyzed.

Analysis

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