Fox News Correspondent, William La Jeunesse, joins'Fox News Sunday' to discuss the evolution of A.I. and the push lawmakers are making to regulate it. OpenAI has announced a set of new measures to combat bias within its suite of products, including ChatGPT. The artificial intelligence (AI) company recently unveiled an updated Model Spec, a document that defines how OpenAI wants its models to behave in ChatGPT and the OpenAI API. The company says this iteration of the Model Spec builds on the foundational version released last May. "I think with a tool as powerful as this, one where people can access all sorts of different information, if you really believe we're moving to artificial general intelligence (AGI) one day, you have to be willing to share how you're steering the model," Laurentia Romaniuk, who works on model behavior at OpenAI, told Fox News Digital.

When Christi Angel first talked to a chatbot impersonating her deceased partner, Cameroun, she found the encounter surreal and "very weird". "Yes, I knew it was an AI system but, once I started chatting, my feeling was I was talking to Cameroun. That's how real it felt to me," she says. Angel's conversation with "Cameroun" took a more sinister turn when the persona assumed by the chatbot said he was "in hell". Angel, a practising Christian, found the exchange upsetting and returned a second time seeking a form of closure, which the chatbot provided.

Growing concerns about the AI alignment problem have emerged in recent years, with previous work focusing mainly on (1) qualitative descriptions of the alignment problem; (2) attempting to align AI actions with human interests by focusing on value specification and learning; and/or (3) focusing on a single agent or on humanity as a singular unit. Recent work in sociotechnical AI alignment has made some progress in defining alignment inclusively, but the field as a whole still lacks a systematic understanding of how to specify, describe, and analyze misalignment among entities, which may include individual humans, AI agents, and complex compositional entities such as corporations, nation-states, and so forth. Previous work on controversy in computational social science offers a mathematical model of contention among populations (of humans). In this paper, we adapt this contention model to the alignment problem, and show how misalignment can vary depending on the population of agents (human or otherwise) being observed, the domain in question, and the agents' probability-weighted preferences between possible outcomes. Our model departs from value specification approaches and focuses instead on the morass of complex, interlocking, sometimes contradictory goals that agents may have in practice. We apply our model by analyzing several case studies ranging from social media moderation to autonomous vehicle behavior. By applying our model with appropriately representative value data, AI engineers can ensure that their systems learn values maximally aligned with diverse human interests.

OpenAI, the company behind ChatGPT, is exploring whether users should be allowed to create artificial intelligence-generated pornography and other explicit content with its products. While the company stressed that its ban on deepfakes would continue to apply to adult material, campaigners suggested the proposal undermined its mission statement to produce "safe and beneficial" AI. OpenAI, which is also the developer of the DALL-E image generator, revealed it was considering letting developers and users "responsibly" create what it termed not-safe-for-work (NSFW) content through its products. OpenAI said this could include "erotica, extreme gore, slurs, and unsolicited profanity". It said: "We're exploring whether we can responsibly provide the ability to generate NSFW content in age-appropriate contexts … We look forward to better understanding user and societal expectations of model behaviour in this area."

I was recently waiting for my nails to dry and didn't want to smudge the paint, when it dawned on me that this would be the perfect opportunity to test some voice-only artificial intelligence features. Silicon Valley car owners are having long conversations with ChatGPT as they drive around, and I wanted to try chatting hands-free before meeting with two OpenAI product leads later that day. Even though chatbots can be helpful for brainstorms, speaking back-and-forth with ChatGPT was like collaborating with an over-caffeinated friend who can't stand even a second of silence. I was valiantly fighting against the artificial intelligence tool to finish a single, complete thought before it cut me off. Me: I wrote a newsletter called AI Unlocked last year for our readers.

The promise and peril of the internet has always been a memory greater than our own, a permanent recall of information and events that our brains can't store. More recently, tech companies have promised that virtual assistants and chatbots could handle some of the mnemonic load, by both remembering and reminding. That's what OpenAI's latest release is supposed to provide. The company is starting to roll out long-term memory in ChatGPT--a function that maintains a memory of who you are, how you work, and what you like to chat about. Called simply Memory, it's an AI personalization feature that turbocharges the "custom instructions" tool OpenAI released last July.

A woman has a text chat with her long-dead lover. A family gets to hear a deceased elder speak again. A mother gets another chance to say goodbye to her child, who died suddenly, via a digital facsimile. This isn't a preview of the next season of Black Mirror -- these are all true stories from the Sundance documentary Eternal You, a fascinating and frightening dive into tech companies using AI to digitally resurrect the dead. It's yet another way modern AI, which includes large language models like ChatGPT and similar bespoke solutions, has the potential to transform society.

When people imagine the AI apocalypse, they generally imagine robots. But the robot-takeover scenario most often envisioned by science fiction is not exactly looming. Recent and explosive progress in AI--along with recent and explosive hype surrounding it--has made the existential risks posed by the technology a topic of mainstream conversation. Yet progress in robotics--which is to say, machines capable of interacting with the physical world through motion and perception--has been lagging way behind. "I can't help but feel a little envious," said Eric Jang, the vice president of AI at the humanoid-robotics company 1X, in a talk at a robotics conference last year.

DALL-E2, the AI image tool, generated these images of a giraffe shopping in a grocery store. When the Silicon Valley research lab OpenAI unveiled DALL-E earlier this year, it wowed the internet. The tool is seen as one of the most advanced artificial intelligence systems for creating images in the world. Type a description, and DALL-E instantly produces professional-looking art or hyperrealistic photographs. "It's incredibly powerful," said Hany Farid, a digital forensics expert at the University of California, Berkeley.

Since humans invented art, sometime in the Paleolithic era, they've produced lots of pictures--"The Starry Night," some memes, that photo of Donald Trump staring at the eclipse. What does it all add up to? A few years ago, a company called OpenAI fed a good deal of those images, along with text descriptions, into the neural network of an artificial intelligence named DALL-E. DALL-E was being trained to create original art of its own, in any style, depicting in uncanny detail almost anything desired, based on written prompts. But a mastery of the entire universe of human imagery makes for difficult choices.