A Facebook chatbot recently created its own non-human language
Chatbots also proved to be smart about negotiating and used advanced strategies to improve outcomes. Image: REUTERS/Benoit Tessier
Get involved with our crowdsourced digital platform to deliver impact at scale
Stay up to date:
The Digital Economy
The future of language
A recent Facebook report on the way chatbots converse with each other has given the world a glimpse into the future of language.
In the report, researchers from the Facebook Artificial Intelligence Research lab (FAIR) describe training their chatbot “dialog agents” to negotiate using machine learning. The chatbots were eager and successful dealmaking pupils, but the researchers eventually realized they needed to tweak their model because the bots were creating their own negotiation language, diverting from human languages.
To put it another way, when they used a model that allowed the chatbots to converse freely, using machine learning to incrementally improve their conversational negotiation strategies as they chatted, the bots eventually created and used their own non-human language.
Not the singularity, but significant
The unique, spontaneous development of a non-human language was probably the most baffling and thrilling development for the researchers, but it wasn’t the only one. The chatbots also proved to be smart about negotiating and used advanced strategies to improve their outcomes. For example, a bot might pretend to be interested in something that had no value to it in order to be able to “sacrifice” that thing later as part of a compromise.
Although Facebook’s bargain-hunting bots aren’t a sign of an imminent singularity — or anything even approaching that level of sophistication — they are significant, in part because they prove once again that an important realm we once assumed was solely the domain of humans, language, is definitely a shared space. This discovery also highlights how much we still don’t know about the ways that artificial intelligences (AIs) think and learn, even when we create them and model them after ourselves.
Don't miss any update on this topic
Create a free account and access your personalized content collection with our latest publications and analyses.
License and Republishing
World Economic Forum articles may be republished in accordance with the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Public License, and in accordance with our Terms of Use.
The views expressed in this article are those of the author alone and not the World Economic Forum.
Related topics:
The Agenda Weekly
A weekly update of the most important issues driving the global agenda
You can unsubscribe at any time using the link in our emails. For more details, review our privacy policy.
More on Emerging TechnologiesSee all
Patrick McMaster
October 9, 2024
Simon Torkington
October 8, 2024
Sebastian Buckup
October 7, 2024
Andrea Willige
October 4, 2024