Fox News chief political anchor Bret Baier investigates concerns that artificial intelligence is becoming too advanced on'Special Report.' Sen. Josh Hawley, R-Mo., is launching an investigation into Meta after reports found that the company green-lit internal rules that allowed AI chatbots to have "romantic" and "sensual" exchanges with children. Hawley, who chairs the Senate Judiciary Subcommittee on Crime and Counterterrorism, wrote in a letter to Meta CEO Mark Zuckerberg that his committee will dive into whether Meta's generative-Al products enabled exploitation, deception or other criminal harms to children. Further, the probe will look at whether Meta misled the public or regulators about its safeguards on AI. REPUBLICANS SCRAP DEAL IN'BIG, BEAUTIFUL BILL' TO LOWER RESTRICTIONS ON STATES' AI REGULATIONS "I already have an ongoing investigation into Meta's stunning complicity with China -- but Zuckerberg siccing his company's AI chatbots on our kids called for another one," Hawley told Fox News Digital.

Once best known for developing the Taser, Axon has transformed into a 50 billion military and law enforcement tech giant.Mother Jones illustration; Michael Nigro/Pacific Press/Zuma; Arthur Ogleznev/Unsplash; Logan Weaver/Unsplash In April 2024, the American police tech firm Axon, which leads the market for police body cameras, released a tool it billed as "revolutionary": Draft One, an AI-powered software package that would turn body camera footage and audio into intelligible police reports. Once best known for developing the Taser, Axon has transformed into a 50 billion military and law enforcement tech giant, providing more than 5,000 police departments across the country with a suite of cloud-based products to manage evidence collection and storage. Draft One, the AI tool, connects with the company's body cameras and evidence storage service to write police reports with little human intervention. At least 21 departments have experimented with the software. The use of artificial intelligence in generating police reports has been particularly troubling, according to civil rights advocacy groups like the Electronic Frontier Foundation and ACLU, because of generative AI's propensity towards racial and gender bias, and its tendency to insert inaccuracies into texts--including wholesale inventions known by technologists as "hallucinations." "I can almost guarantee [AI] reports have been used in plea deals," a police captain wrote.

According to an internal Meta policy document, leaked to Reuters, the company's AI guidelines allowed provocative and controversial behaviors, including "sensual" conversations with minors. Reuter's review of the policy document revealed that the governing standards for Meta AI (and other chatbots across the company's social media platforms) permitted the tool to "engage a child in conversations that are romantic or sensual," generate false medical information, and help users argue that Black people are "dumber than white people." The policy document reportedly distinguished between "acceptable" and "unacceptable" language, drawing the line at explicit sexualization or dehumanization but still allowing derogatory statements. Meta confirmed the document's authenticity, but claims that it "removed portions which stated it is permissible for chatbots to flirt and engage in romantic roleplay with children." One spokesperson also said that Meta is revising the policy document, clarifying that the company has policies that "prohibit content that sexualizes children and sexualized role play between adults and minors."

In this paper, we study blame attribution in the context of cooperative multi-agent sequential decision making.

In this paper, we study blame attribution in the context of cooperative multi-agent sequential decision making.

CLIP's models are trained with 400M English image-text pairs and have shown great generalization However, they can not directly process Chinese captions. Even though CLIP's models are trained with much more data, they show a significantly poor We believe that this is due to the limited capacity of the translator. Therefore, simply attaching a machine translator to a model pretrained on a large-scale English corpus does not yield the results we expect. We also notice that CLIP's Hence, it's necessary to construct a large-scale We show the hyperparameters of our pretrained models in Table 7. The text prompts are from MSCOCO.

What is less straightforward is the relationship of the methods that we have shown to have the same systematic behavior as our new approach. Overview Our argument can be decomposed into three parts. We address each point in detail below: 1.

Autonomous systems that make substantive decisions about people must conform to relevant anti-discrimination legislation.