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Mark Zuckerberg, the CEO of Meta, which owns Facebook, wants to break language barriers across the globe using artificial intelligence (AI). Meta announced an ambitious AI driven project, which will be key to building its Metaverse. The company said that it is building a universal speech translator, along with an AI powered virtual assistant. CEO Mark Zuckerberg, in an online presentation, stated, "The ability to communicate with anyone in any language - that's a superpower people have dreamed of forever, and AI is going to deliver that within our lifetime.For people who understand languages like English, Mandarin, or Spanish, it may seem like today's apps and web tools already provide the translation technology we need. Nearly half the world's population can't access online content in their preferred language today. No Language Left Behind is a single system capable of translating between all written languages. "We're also working on Universal Speech Translator, an AI system that provides instantaneous speech-to-speech translation across all languages, even those that are mostly spoken," said the company in a blog.

AI writers like ChatGPT can often produce work that is, at least on first glance, indistinguishable from human writing. With a simple prompt like "write an expository essay on symbolism in Heart of Darkness," ChatGPT can spit out an organized, coherent, five-paragraph essay in seconds. (See results below.) And no two essays will be identical. In some cases, help from an AI may be as acceptable as using a Google search as part of the research process. But in many cases, it will be unacceptable for classroom work. So how do teachers deal with the growing ease with which AIs can complete student homework? Turnitin, which is known for its technology used for plagiarism detection, has posted a technology preview that shows its software automatically detecting work written by an AI writer, even going so far as to show which parts of an essay were written by AI versus human and indicate where AI writing transitions into human writing.

This article describes a study conducted by the Allen Institute of Artificial Intelligence which evaluated AI's capability to actually understand the language it produces. This comes after recent advancements in natural-language processing (NLP) have allowed AI to generate convincing literary works. In the study, researchers posed over 44,000 questions, built off the Winograd Schema Challenge, to an AI system. Essentially, the questions used pairs of sentences with slight differences that flipped the meaning of a pronoun, thus requiring a comprehensive understanding of semantics in order to correctly assign the pronoun. The study found that the AI only had a 60-80% success rate, compared to the human success rate of roughly 94%.

AI is not completely developed enough to overthrow writers yet. AI is able to produce full paragraphs by comparing and applying similar patterns across Wikipedia pages and other writings found on the Internet. The future of AI writing includes mixed media. For example, creating pictures or videos out of a text prompt. But AI will be seemingly integrated into day-to-day word processors and possibly become the "norm."

Learning the intricacies of human languages is hard even for human children and non-native speakers - but it's particularly difficult for AI. Scientists have already taught computers how to do simple tasks, like translating one language to another or searching for keywords. Artificial intelligence has gotten better at solving these narrow problems. But now scientists are tackling harder problems, like how to build AI algorithms that can piece together bits of information to give a coherent answer for more complicated, nuanced questions. "Language is the ultimate frontier of AI research because you can express any thought or idea in language," states Stanford computer science professor Yoav Shoham. "It's as rich as human thinking." For Shoham, the excitement about artificial intelligence lies not only in what it can do - but also in what it can't. "It's not just mimicking the human brain in silicon, but asking what traits are so innately human that we don't think we can emulate them on a computer," Shoham said. "Our creativity, fairness, emotions, all the stuff we take for granted - machines can't even come close."

This article explains the evolution of language and the influence AI has on modern language. Author Rob Toews gives his insight into the dangers of AI (bias and toxicity) and possible trends in AI linguistics.

This article shows the potential influence that AI has on the economy. AI uses coding and programming through communication between computers in order to function

Imagine putting on a virtual reality headset and entering a world where you can explore communities, like Missoula, except your character, and everyone you interact with, speaks Salish, Cheyenne or Blackfoot. Imagine having a device like Amazon's Alexa that understands and speaks exclusively in Indigenous languages. Or imagine a digital language playground in Facebook's Metaverse, where programmers create interactive games to enhance Indigenous language learning. Michael Running Wolf, a Northern Cheyenne man who is earning his Ph.D. in computer science, wants to make these dreams a reality. Running Wolf grew up in Birney, a town with a population of 150 just south of the Northern Cheyenne Reservation. He spent most of his childhood living without electricity. Running Wolf can speak some Cheyenne, but he wants Indigenous language learning to be more accessible, immersive and engaging. And he believes artificial intelligence is the solution. Running Wolf is one of a handful of researchers worldwide who are studying Indigenous languages and AI. He works with a small team of linguists and data scientists, and together, they analyze Indigenous languages and work to translate them into something a computer can interpret. If his team can accomplish this, Running Wolf reasons, then perhaps AI can be used to help revitalize Indigenous languages everywhere.

This article talks about how AI-generated texts can be distinguished from human writing. It explains why it is essential for us to tell them apart and why it is still not able to perfectly mimic humans.

This article discusses some of the ways AI-generated text can differ from sentences written by humans.

This article explains how close we are getting to understanding Dolphin's language. They language consists of sentences, similar to ours, where the order of the words determine the meaning of the sentence. They also apparently take turn talking, as we do. So all scientists need to do now is figure out what meaning matchings each sound. This is where AI (aka. Artificial intelligence) comes in. Scientists will be using one to help figure out meanings to sounds. This will be taking place in a wildlife park south of Stockholm to Bottlenose dolphins.

As AI advances, so does its language. A chat bot by Google uses language to speak with others in conversation. However, it runs into some problematic issues, especially regarding its ethics. For instance, it will associate doctors as men and nurses as women. Research is being put in place to make it a safer program.

This article talks about a Facebook AI that was shut down because it created its own language that only it understood. It used english words but didn't use the same grammar or definitions for the words. It wasn't close to taking over the world or anything but it was the first time something like that happened. It is a wary foreshadowing of what could happen into the future and possibly create a Terminator SkyNet situation.

This study researches how AI may be used as a tool in the learning environment. It describes how pedagogy may evolve with new technologies, thus allowing AI to personalize learning to the student based off of digital footprint.

This article discusses the AI company Sanas' invention of technology that can mask "non-preferred" accents, intended for use in call centers. Controversy has erupted over the consequences of this technology, namely white-washing and the erasure of the culture and identity that is tied to accents.

This MIT Technology Review article notes that while Artificial Intelligence has experienced many sophisticated advances, one fundamental capability remains elusive: language. Systems like Siri and IBM's Watson can follow simple spoken or typed commands and answer basic questions, but they can't hold a conversation and have no real understanding of the words they use. In addition, humans, unlike machines, have the ability to learn very quickly from a relatively small amount of data and have a built-in ability to model the world in 3-D very efficiently. Programming machines to comprehend and generate language is a complex task, because the machines would need to mimic human learning, mental model building, and psychology. As MIT cognitive scientist Josh Tenenbaum states, "Language builds on other abilities that are probably more basic, that are present in young infants before they have language: perceiving the world visually, acting on our motor systems, understanding the physics of the world or other agents' goals." ­ If he is right, then it will be difficult to re-create language understanding in machines and AI systems without trying to mimic human learning, mental model building, and psychology.

Columbia University linguist John McWhorter opines on the impact AI translation might have on second language learning. We already know that Americans and UK folx are the most monolingual populations in the world; fewer than one in 100 American students currently become proficient in a language they learned in school. McWhorter argues that AI might offer utilitarian practicality for casual users, e.g. translating useful phrases on the fly while traveling: "With an iPhone handy and an appropriate app downloaded, foreign languages will no longer present most people with the barrier or challenge they once did." Yet McWhorter also says, "I don't think these tools will ever render learning foreign languages completely obsolete. Real conversation in the flowing nuances of casual speech cannot be rendered by a program, at least not in a way that would convey full humanity." He also suggests that genuinely acquiring a language will still beckon a few select people, e.g. those relocating to a new country, those who'd like to engage with literature or media in the original language, as well as those of us who find pleasure in mastering these new codes: that language learning will become "an artisanal pursuit" of sorts.

Teachers worried about students turning in essays written by a popular artificial intelligence chatbot now have a new tool of their own. Edward Tian, a 22-year-old senior at Princeton University, has built an app to detect whether text is written by ChatGPT, the viral chatbot that's sparked fears over its potential for unethical uses in academia. Tian, a computer science major who is minoring in journalism, spent part of his winter break creating GPTZero, which he said can "quickly and efficiently" decipher whether a human or ChatGPT authored an essay.

This article discusses the use of AI in learning languages. It discusses the benefits such as corrective feedback and being able to talk about your topic of choice. However, it also mentions some drawbacks such as potential biases and errors.

This article writes about the complexities of animal communication and how elephants are able to use low frequency sounds to stay in touch amongst each other. Generative artificial intelligence is able to help humans generate an algorithm that is capable of detecting animal calls, grumbles, grunts, squeaks etc and translate it into a language that humans are comfortable interpreting.