As debate rages over the possibilities and risks to higher education of artificial intelligence tools such as ChatGPT, evaluators are also asking what role AI and machine learning can play in their field. Speaking at a virtual symposium hosted by the Centre for Research Evaluation at the University of Mississippi in the United States on March 24, independent evaluation consultant Silva Ferretti described ChatGPT as the perfect bureaucrat: pedantic and by the book. The symposium was titled "Are We at a Fork in the Road?" and explored implications and opportunities for AI in evaluation. It was hosted by Dr. Sarah Mason of the University of Mississippi and Dr. Bianca Montrosse-Moorhead of the University of Connecticut, co-editors of New Directions for Evaluation, a publication of the American Evaluation Association. They said that disciplines around the world were grappling with the question of whether ChatGPT heralded a fork in the road with respect to powerful new generative AI. "This potential fork emerges because generative AI is distinct from earlier AI models in that it can create entirely new content."

April 17 (Reuters) - EU lawmakers urged world leaders on Monday to hold a summit to find ways to control the development of advanced artificial intelligence (AI) systems such as ChatGPT, saying they were developing faster than expected. The 12 MEPs, all working on EU legislation on the technology, called on U.S. President Joe Biden and European Commission President Ursula von der Leyen to convene the meeting, and said AI firms should be more responsible. The statement came weeks after Twitter owner Elon Musk and more than 1,000 technology figures demanded a six-month pause in the development of systems more powerful than Microsoft-backed (MSFT.O) OpenAI's latest iteration of ChatGPT, which can mimic humans and create text and images based on prompts. That open letter, published in March by the Future of Life Institute (FLI), had warned that AI could spread misinformation at an unprecedented rate, and that machines could "outnumber, outsmart, obsolete and replace" humans, if left unchecked. The MEPS said they disagreed with some of the FLI message's "more alarmist statements".

We first compile data on the hourly coding output of over 8,000 professional GitHub users in Italy and other European countries to analyse the impact of the ban on individual productivity. Combining the high-frequency data with the sudden announcement of the ban in a difference-in-differences framework, we find that the output of Italian developers decreased by around 50% in the first two business days after the ban and recovered after that. Applying a synthetic control approach to daily Google search and Tor usage data shows that the ban led to a significant increase in the use of censorship bypassing tools. Our findings show that users swiftly implement strategies to bypass Internet restrictions but this adaptation activity creates short-term disruptions and hampers productivity.

The premise of this article is that a basic understanding of the composition and functioning of large language models is critically urgent. To that end, we extract a representational map of OpenAI's GPT-2 with what we articulate as two classes of deep learning code, that which pertains to the model and that which underwrites applications built around the model. We then verify this map through case studies of two popular GPT-2 applications: the text adventure game, AI Dungeon, and the language art project, This Word Does Not Exist. Such an exercise allows us to test the potential of Critical Code Studies when the object of study is deep learning code and to demonstrate the validity of code as an analytical focus for researchers in the subfields of Critical Artificial Intelligence and Critical Machine Learning Studies. More broadly, however, our work draws attention to the means by which ordinary users might interact with, and even direct, the behavior of deep learning systems, and by extension works toward demystifying some of the auratic mystery of "AI." What is at stake is the possibility of achieving an informed sociotechnical consensus about the responsible applications of large language models, as well as a more expansive sense of their creative capabilities-indeed, understanding how and where engagement occurs allows all of us to become more active participants in the development of machine learning systems.

OpenAI CEO Sam Altman said that he was "a little bit scared" of ChatGPT and admitted that his technology would likely destroy "a lot of current jobs." ChatGPT, the artificial intelligence chatbot from OpenAI, could potentially rival Google one day as an online health resource, many people say -- but how reliable are its responses right now? Researchers from the University of Maryland School of Medicine (UMSOM) were eager to find out. In February, they created a list of 25 questions related to breast cancer screening guidelines -- then asked ChatGPT to answer each of the questions three times. The researchers found that 22 out of 25 of the chatbot's responses were accurate.

As the contract lifecycle management company Ironclad is today releasing its AI redlining tool AI Assist out of beta, is has revealed that the tool is powered by OpenAI's GPT-4, making it what Ironclad says is the first contract redlining application powered by the latest version of Open AI's generative AI. "The results with AI Assist have been beyond what we could even have imagined," said Ironclad CEO and co-founder, Jason Boehmig. "An initial pass at contract redlining usually takes about 40 minutes. Already, some large enterprises are using Ironclad AI to review over 50% of their incoming contracts, so the compounding business impact there is unprecedented." Although Ironclad says that this is the first redlining tool to use GPT-4, Casetext's CoCounsel, which is built on GPT-4, has capabilities for checking contract policy compliance and suggesting redlines to bring contracts into compliance. It should also be noted that there are other contract redlining tools on the market that use AI, but not GPT-4.

Google and it's very own version of Chatbot Bard is soon to be released to the public. Recently Google AI engineers stated that it's opening up access to Bard, the Google's very own AI-powered chatbot that's a rival to services released by competitor Microsoft and it's OpenAI. Google is starting with users in the US and UK, who can go to the Bard site to sign up for the waiting list. "We've learned a lot so far by testing Bard, and the next critical step in improving it is to get feedback from more people," stated Google's Sissie Hsiao and Eli Collins. Google has announced Bard and the company went into "code red" following the release of the OpenAI's ChatGPT late last year to garner it's own AI Chat.

The AI field took a turn with the release of powerful Generative Artifical Intelligence (AI) models, and as a result, the world is seeing the automation of some skills around creativity and imagination sooner than many expected. For some organizations, Generative AI holds valuable potential for higher order opportunities, like new services and business models. Deloitte offers a method for selecting Generative AI use cases, as well as some next steps for business leaders in the Age of With . Generative AI has captured attention in global media and the public square, prompting questions and discussions around this transformative technology. Businesses, research organizations, and even lay users are experimenting with Generative AI, and given the excitement and interest, it is important to look more closely at the potential capabilities and implications for business.

HIMSS 2023 kicked off Monday in Chicago. Follow our live blog for the latest updates and happenings from the conference. Epic Systems is working with Microsoft to integrate generative AI technology into its electronic health record software for the first time, the companies said Monday. The announcement was made in conjunction with the first day of the HIMSS conference, which is being held in Chicago this week. Health systems using Epic's EHR system will be able to run generative AI solutions through Microsoft's OpenAI Azure Service.

Elon Musk Creates new AI Company to rival OpenAI as Elon Musk announced his plans to enter in the Artificial Intelligence (AI) market of worth more than US$ 125 billion, globally. Since, the global AI market is expected to hit US$ 1,591 billion by 2030 with a registered CAGR of 38.1% from 2022 to 2030, Elon Musk has planned to enter this arena. The boss of world's leading companies like Twitter, Telsa, StarLink, and SpaceX has announced a new venture and as he has registered a company called'X.AI'. It is reveled that the new subsidiary will be the home of efforts to build new AI based tools similar to ChatGPT that is currently owned by OpenAI. To accelerate with X.AI, Musk is reported that he is assembling a team of AI experts and researchers as he is discussing with with investors of SpaceX and Tesla about putting money into this new venture.