---
title: "Researchers Taught an AI About Ownership Rules and Social Norms"
description: "## \"No Baxter, That's Mine!\""
date: "2018-12-22"
modified: "2018-12-22"
authors:
  - name: "Victor Tangermann"
    job_title: "Senior Editor"
    link: "https://futurism.com/authors/victor"
url: "https://futurism.com/researchers-taught-robot-ownership-relations-social-norms"
categories:
  - "Artificial Intelligence"
tags:
  - "ai robots"
  - "artificial intelligence"
  - "machine learning"
---

# Researchers Taught an AI About Ownership Rules and Social Norms

![A group of researchers at Yale University successfully taught a robotic system about ownership relations and the social norms that surround those relations.](<https://futurism.com/wp-content/uploads/2018/12/researchers-taught-robot-ownership-relations-social-norms.jpg>)
*\<em\>Image: Tan, Brawer and Scassellati\</em\>*

## "No Baxter, That's Mine!"

What is yours is not mine, and what is mine is not yours — unless we agree to share it.

This simple example of how we agree on ownership of objects around us is something that may come naturally to us, but it's a notion that robotic systems have to be taught first — in much the same way a child is taught about what belongs to them, and what doesn't.

And a group of researchers at Yale University tried to do just that. They successfully taught a robotic system about ownership relations and the social norms that determine those relations — a much overlooked, but critical aspect of human-machine interaction.

And the results are promising: in a series of simulations, the robot could infer which objects belonged to it, and which didn't — even with a "limited amount of training data," according to a [pre-written paper](<https://arxiv.org/pdf/1812.02576.pdf>).

## Peaceful Coexistence

"With the growing prevalence of AI and robotics in our social lives, social competence is becoming a crucial component for intelligent systems that interact with humans," reads the paper. "Yet, explicating and implementing these norms in a robot is a deceptively challenging problem."

The robotic system the researchers devised used a machine learning algorithm to learn from a series of rule violations — "No Baxter, that's mine!" reads a speech bubble under a picture presented in the paper — and could even infer ownership purely based on the object's qualities.

"One of the challenges in this work is that some of the ways that we learn about ownership are through being told explicit rules (e.g., 'don't take my tools') and others are learned through experience," Brian Scassellati, one of the scientists working on the project, [told](<https://techxplore.com/news/2018-12-robot-capable-ownership-norms.amp>) TechXplore. "Combining these two types of learning may be easy for people, but is much more challenging for robots."

## "I'm Afraid I Can't Do That"

And it will become increasingly important for us to find ways to make robots understand these rules going forward. "Understanding about object ownerships, permissions, and customs is one of these topics that hasn't really received much attention but will be critical to the way that machines operate in our homes, schools, and offices," said Scassellati.

**READ MORE:** [A new robot capable of learning ownership relations and norms](<https://techxplore.com/news/2018-12-robot-capable-ownership-norms.amp>) \[TechXplore\]

***More on robots and social norms: [Culturally Sensitive Robots Are Here to Care for the Elderly](<https://futurism.com/the-byte/culturally-sensitive-robots>)***

## Author
I've been at Futurism since 2017, where my role has evolved to encompass design, writing, and increasingly editing. I've always been fascinated by space exploration and advanced transportation, which I've leaned into by interviewing luminaries in those fields while closely following the dimensions of policy and regulation that allow next-generation projects to succeed -- or, sometimes, to fail. I'm also keenly interested in the effects of generative AI on society, policies, and democratic institutions, as well as clean energy, physics and biology, and the vagaries of tech leadership. My work for Futurism has been cited by publications including Ars Technica, Gizmodo, PC Magazine, Jalopnik, Fox News, and the New York Post. I spent my childhood living in locations including Manila, the Philippines, and Geneva, Switzerland, attended McGill University, and now live in Toronto, Canada. Before Futurism I worked at AskMen and a small photography studio. In my free time, I'm an avid gardener, foodie, and craft beer lover, as well as a maker of artisanal hot pepper sauces. I have a magnificent dog named Freida.

### Author social links  
[Bluesky](<https://bsky.app/profile/vtanger.bsky.social>)