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A perishable ability? The future of writing in the face of generative artificial intelligence

Cunha, Evandro L. T. P.

arXiv.org Artificial Intelligence

The 2020s have been witnessing a very significant advance in the development of generative artificial intelligence tools, including text generation systems based on large language models. These tools have been increasingly used to generate texts in the most diverse domains -- from technical texts to literary texts --, which might eventually lead to a lower volume of written text production by humans. This article discusses the possibility of a future in which human beings will have lost or significantly decreased their ability to write due to the outsourcing of this activity to machines. This possibility parallels the loss of the ability to write in other moments of human history, such as during the so-called Greek Dark Ages (approx. 1200 BCE - 800 BCE).


The Artificial Intelligence Disclosure (AID) Framework: An Introduction

Weaver, Kari D.

arXiv.org Artificial Intelligence

As the use of Generative Artificial Intelligence tools have grown in higher education and research, there have been increasing calls for transparency and granularity around the use and attribution of the use of these tools. Thus far, this need has been met via the recommended inclusion of a note, with little to no guidance on what the note itself should include. This has been identified as a problem to the use of AI in academic and research contexts. This article introduces The Artificial Intelligence Disclosure (AID) Framework, a standard, comprehensive, and detailed framework meant to inform the development and writing of GenAI disclosure for education and research.


New tech fails to help adoptive parents navigate obstacles: probe

FOX News

Marva Bailer tells Fox News Digital how the open availability of artificial intelligence can have negative effects, and she talks about potential federal legislation to control it. An investigation into an artificial intelligence tool aimed at helping match children in foster care to prospective adoptive parents found that the technology offered limited help with the process. An AI tool called "Family-Match" that was embraced by several states to streamline the process of finding permanent adoptive homes for children in foster care has come up short, an Associated Press investigation found. According to a report on the investigation by Voice of America, social workers in Florida, Georgia and Virginia implemented the tool but ultimately found that it "often led them to unwilling families." US MILITARY NEEDS AI VEHICLES, WEAPON SYSTEMS TO BE'SUPERIOR' GLOBAL FORCE: EXPERTS Artificial intelligence could still help to streamline the adoption process, experts say. Virginia and Georgia stopped using the tool after a trial run, the report said, noting that it only produced one or two adoptions per year.


ChatGPT risks threaten to divide Biden Administration over EU's AI Rules

The Japan Times

Biden administration officials are divided over how aggressively new artificial intelligence tools should be regulated -- and their differences are playing out this week in Sweden. Some White House and Commerce Department officials support the strong measures proposed by the European Union for AI products such as ChatGPT and Dall-E, people involved in the discussions said. Meanwhile, U.S. national security officials and some in the State Department say aggressively regulating this nascent technology will put the nation at a competitive disadvantage, according to the people, who asked not to be identified because the information isn't public. This dissonance has left the U.S. without a coherent response during this week's U.S.-EU Trade and Technology Council gathering in Sweden to the EU's plan to subject generative AI to additional rules. This could be due to a conflict with your ad-blocking or security software.


The Real Reason Elon Musk Wants To Pause AI Development

#artificialintelligence

Elon Musk signed an open letter on Tuesday calling for a six-month pause in the development of artificial intelligence tools like OpenAI's ChatGPT, a chatbot that's become incredibly popular since it was first made public in November. And while Musk may insist it's all about making sure the technology is safe, there's likely a much easier explanation: Musk is no longer involved in OpenAI and is frustrated he doesn't have his own version of ChatGPT yet. OpenAI was founded as a nonprofit in 2015, with Elon Musk as the public face of the organization. An article from Wired in early 2016 showed a photo of Musk with his arms crossed, giving the impression he was ready to revolutionize yet another industry. But the story behind Musk's departure from OpenAI is a interesting one, and seems like a much more logical explanation for why the billionaire CEO of several high-tech companies wants to hamper development at OpenAI.


Artificial intelligence discovers secret equation for 'weighing' galaxy clusters

#artificialintelligence

Astrophysicists at the Institute for Advanced Study, the Flatiron Institute and their colleagues have leveraged artificial intelligence to uncover a better way to estimate the mass of colossal clusters of galaxies. The AI discovered that by just adding a simple term to an existing equation, scientists can produce far better mass estimates than they previously had. The improved estimates will enable scientists to calculate the fundamental properties of the universe more accurately, the astrophysicists reported in the Proceedings of the National Academy of Sciences. "It's such a simple thing; that's the beauty of this," says study co-author Francisco Villaescusa-Navarro, a research scientist at the Flatiron Institute's Center for Computational Astrophysics (CCA) in New York City. "Even though it's so simple, nobody before found this term. People have been working on this for decades, and still they were not able to find this."


Microsoft announces revamping of Office apps with artificial intelligence tools - Hindustan Times

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Microsoft is reinventing its Power Platform's software development, including Outlook, PowerPoint, Excel and Word, with AI-powered no-code development and adding new features like Copilot. In an event on Thursday (Local Time), the company announced that Microsoft 365 users will soon be able to use what the company is calling an AI "Co-pilot," Microsoft said in a statement. "Makers now have a live in-studio copilot that helps them build solutions and provides suggestions for improvement. To build an app, flow, or bot, you can describe it using natural language and the copilot can build it in seconds. It is that easy," the statement read. "Copilot in Power Apps makes it easy to keep data at the centre of every application.


9 Best AI Tools Every Human MUST Know! - AI Tools Arena

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Artificial intelligence has revolutionized the way we work and live, with countless tools and platforms available to help us work smarter and faster. However, with so many options to choose from, it can be overwhelming to find the right AI tool for your needs. That's why we've compiled a list of the best AI tools in each category based on their monthly visitors, which gives us a good idea of which ones are the most popular and widely used. But before we dive into our list, we want to emphasize that this video is for informational purposes only. We're not giving advice on which tool you should buy, and it's important to do your own research and consider your specific needs before making any purchases.


Sharing Diigo Links and Resources (weekly)

#artificialintelligence

Artificial intelligence (AI) is rapidly becoming a more prominent component of several global industries, including education. But in some industries, it has reached a point where workers are now concerned about whether or not their jobs are safe. When it comes to EdTech what makes a user interface engaging for a student? I've personally seen students open up an EdTech product, including Google Classroom, and immediately groan out loud. Lloyd Alexander once said, "We learn more by looking for the answer to a question and not finding it than we do from the answer itself." I love this quote because I've witnessed the truth of it firsthand in the classroom.


Artificial intelligence tool developed to predict risk of lung cancer

#artificialintelligence

Lung cancer is the leading cause of cancer death in the United States and around the world. Low-dose chest computed tomography (LDCT) is recommended to screen people between 50 and 80 years of age with a significant history of smoking, or who currently smoke. Lung cancer screening with LDCT has been shown to reduce death from lung cancer by up to 24 percent. But as rates of lung cancer climb among non-smokers, new strategies are needed to screen and accurately predict lung cancer risk across a wider population. A study led by investigators from the Mass General Cancer Center, a member of Mass General Brigham, in collaboration with researchers at the Massachusetts Institute of Technology (MIT), developed and tested an artificial intelligence tool known as Sybil.