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Can Artificial Intelligence create its own language?
Technology has become a necessity in today’s world. AI has aided several innovations across all industries. However, it is still thought of as a black-box, where one isn’t sure of what more it could contain. There are many speculations around this technology because of its unknown limits & applications. We might even say that some look upon the capabilities of AI with fear. Our film industry has also added to these fears by creating movies like Terminator, I-Robot, and others, showing AI wanting to take over the human race.
Researchers have tried their best to prove these assumptions wrong as we are currently dealing with Narrow AI that can only perform a single task. The ones spoken about or discussed in movies are usually Artificial General Intelligence, whose intelligence is equal to that of a human. Even though experts have even confirmed that we may be far away from attaining it, there have still been incidents that might prove us wrong.
Back in 2017, Facebook decided to scrap one of its AI engines as it exhibited certain strange phenomena. It was perceived as an alarming potential of AI technology. The Facebook AI Research Lab (FAIR) developed an experiment where they tried to stimulate negotiations between two bots.
The engine was said to have created its own language that humans could not understand.
A paper published by FAIR, in June 2017 said, “We gathered a large dataset of human-human negotiations on a multi-issue bargaining task, where agents who cannot observe each other’s reward functions must reach an agreement (or a deal) via natural language dialogue.” The experiment was an attempt to exhibit that it is possible to coach end-to-end models for negotiations. The bots were given training data sets and they let these bots negotiate with each other. Although the original data sets were in English, the bots ended up taking certain phrases from them and put them out based on numerical representation. Later, the engineers decided to stop the simulation after it started producing results that were degenerated and looked strange.
CNBC quoted a Facebook post by Dhruv Batra, who worked on this AI research group stating that “While the idea of AI agents inventing their own language may sound alarming/unexpected to people outside the field, it is a well-established sub-field of AI, with publications dating back decades. Simply put, agents in environments attempting to solve a task will often find unintuitive ways to maximize reward. Analyzing the reward function and changing the parameters of an experiment is NOT the same as ‘unplugging’ or ‘shutting down AI.’ If that were the case, every AI researcher has been ‘shutting down AI’ every time they kill a job on a machine.” He also clarified that these negotiation bots were just an experiment and not used in actual production.
Deep learning, NLP, and AI together have improved a machines’ ability to understand human language. Today, we have multilingual chat and voice bots. According to experts, they only need an efficient training data set.
In 2016, Google asserted that after the development of its Neural Machine Translation (GNMT) system, its AI computer developed an internal language that was used to represent the translations the model performed. AI was also able to translate a new language that has not been taught to it, and it automatically improved on languages.
In 2018, MIT researchers developed an AI system that learned as a child does by associating and correlating words with images, objects, etc. The researchers claimed that this system needs minimal training and supervision. As per reports, the MIT group believed that this parser could make communication between humans and bots more natural.
Experts believe that AI might possess more intelligent capabilities that would bring potential innovations. AI has a pivotal role to play today and experiments like these would enable us to understand more about the technology.
Source:
https://www.analyticsinsight.net/can-artificial-intelligence-create-its-own-language/
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