This papers explores the question of human authorship when works are created with generative AI tools.

In an educational landscape dramatically altered by the swift proliferation of Large Language Models, this essay interrogates the urgent this essay interrogates the urgent pedagogical modifications required in secondary schooling. Anchored in Madeline Grumet's triadic framework of curriculum inquiry, the study delineates the multifaceted relationship between Generative AI and Elliot Eisner's explicit, implicit, and null curriculum concepts. It scrutinizes the logistical and ethical challenges, such as the reliability of AI detectors, that educators confront when attempting to assimilate this nascent technology into long-standing curricular structures. Engaging with Ted Aoki's theory of the "zone of between", the essay illuminates educators' dilemmas in reconciling prescriptive curricular aims with the fluid realities of classroom life, all within an educational milieu in constant flux due to Generative AI. The paper culminates in a reflective analysis by the researcher, identifying avenues for further scholarly investigation within each of Grumet's constitutive strands of curriculum theory, thereby providing a roadmap for future research on Generative AI's transformative impact on educational practice.

The evolution of Generative AI and the capabilities of the newly released Large Language Models (LLMs) open new opportunities in software engineering. However, they also lead to new challenges in cybersecurity. Recently, researchers have shown the possibilities of using LLMs such as ChatGPT to generate malicious content that can directly be exploited or guide inexperienced hackers to weaponize tools and code. These studies covered scenarios that still require the attacker to be in the middle of the loop. In this study, we leverage openly available plugins and use an LLM as proxy between the attacker and the victim. We deliver a proof-of-concept where ChatGPT is used for the dissemination of malicious software while evading detection, alongside establishing the communication to a command and control (C2) server to receive commands to interact with a victim's system. Finally, we present the general approach as well as essential elements in order to stay undetected and make the attack a success. This proof-of-concept highlights significant cybersecurity issues with openly available plugins and LLMs, which require the development of security guidelines, controls, and mitigation strategies.

The home state of some of the most influential AI companies has a new plan to confront the potential regulation of generative AI. California Governor Gavin Newsom signed an executive order instructing agencies in the state to study potential risks and use cases for the technology. Under the order, state agencies are tasked with identifying "the most significant and beneficial uses of GenAI in the state" and creating frameworks to train state employees on how to use "state-approved" generative AI tools in their work. Likewise, it directs the same agencies to analyze potential negative impacts of the technology, including its effect on vulnerable communities and threats to "critical energy infrastructure" in the state. The order also lays the groundwork for new partnerships with University of California at Berkeley and Stanford University, which will help study how generative AI is affecting the state's workers.

California Gov. Gavin Newsom on Wednesday signed an executive order directing state agencies to examine the benefits and risks of artificial intelligence that can generate text, images and other content. The executive order sets the stage for potential regulation around what's known as generative AI technology, which has already raised concerns about misinformation, plagiarism, bias and child safety. The governor and California lawmakers thus far have been cautious about regulating technology they might not fully understand and hindering business innovations that fuel the state's economy. "We recognize both the potential benefits and risks these tools enable. We're neither frozen by the fears nor hypnotized by the upside," Newsom said in a statement.

The advent of generative AI, which includes chatbots such as OpenAI's ChatGPT and Google's Bard, has triggered concern that the technology could replace jobs, leading governments around the world to scramble to understand AI tools and respond. Prominent AI companies say they welcome regulation but have also lobbied against some approaches, saying strict laws could stifle the tech's development. There are also signs that consumer usage of generative AI tools is slowing, raising questions of how long the boom will last.

"We are engaged in a race against time to protect the children of our country from the dangers of AI," the attorneys general wrote in an open letter to Congress, asking for increased protective measures against AI-enhanced child sexual abuse images. Using image generators like Dall-E and Midjourney to create child sexual abuse materials isn't a problem, as the software has guardrails to stop those prompts. However, when open-source versions of the software and similar tools without guardrails or oversight arrive, it could be a major issue. Even OpenAI CEO Sam Altman has stated that AI tools would benefit from government intervention to mitigate their risk. You can get these reports delivered daily direct to your inbox.

In one experiment in February, security researchers forced Microsoft's Bing chatbot to behave like a scammer. Hidden instructions on a web page the researchers created told the chatbot to ask the person using it to hand over their bank account details. This kind of attack, where concealed information can make the AI system behave in unintended ways, is just the beginning. Hundreds of examples of "indirect prompt injection" attacks have been created since then. This type of attack is now considered one of the most concerning ways that language models could be abused by hackers.

They've just ducked out of one event and are headed to another, then another, where a frenzied mob awaits. As they careen through the streets of London--the short hop from Holborn to Bloomsbury--it's as if they're surfing one of civilization's before-and-after moments. The history-making force personified inside this car has captured the attention of the world. Everyone wants a piece of it, from the students who've waited in line to the prime minister. Inside the luxury van, wolfing down a salad, is the neatly coiffed 38-year-old entrepreneur Sam Altman, cofounder of OpenAI; a PR person; a security specialist; and me. Altman is unhappily sporting a blue suit with a tieless pink dress shirt as he whirlwinds through London as part of a monthlong global jaunt through 25 cities on six continents.

Haywood Talcove, CEO of LexisNexis Risk Solutions' Government Group, tells Fox News Digital that criminal groups, mostly in other countries, are advertising on social media to market their AI capabilities for fraud and other crimes. A criminologist recently unearthed a video of a multibillion-dollar, transnational criminal organization that has been stealing from the U.S. government since the pandemic and selling generative artificial intelligence tools to other criminals, an expert says. The 58-second clip, which was meant for the dark web, opens with a person – who goes by "Sanchez" – covered head to toe in black clothing and speaking behind a black skeleton mask with someone else who appears to be digging a grave behind him. "Yes, I sell Chase bank accounts. Yes, I am one of the first people to sell fake bank accounts four years ago," the man who calls himself "Sanchez" said.