Rep. Darin LaHood, R-Ill., told Fox News Digital the new bi-partisan "Advanced AI Security Readiness Act" directs the NSA's to develop an "AI Security Playbook" amid the technology race against China. In 1823, President James Monroe drew a firm line in the sand: the Western Hemisphere would be closed to further European interference and, most importantly, America's primary domain of industrial, political, and military control. The Monroe Doctrine, while audacious, proved effective and laid the groundwork for the Western Hemisphere as America's stepping stone to the rest of the world. America was not yet a superpower and could not enforce it alone, however. Instead, America aligned British naval dominance with our interests to build a coalition of opportunity. America asserted its position, secured a partner through alignment against common rivals, and laid the groundwork for its emergence as a global superpower.

Fox News anchor Bret Baier has the latest on the Murdoch Children's Research Institute's partnership with the Gladstone Institutes for the'Decoding Broken Hearts' initiative on'Special Report.' The Trump administration recently asked American developers, including OpenAI, for input on what the U.S. needs to do to stay ahead in the global AI competition. We believe that preserving AI's ability to learn should be at the top of the list. Today, artificial intelligence is poised to scale human ingenuity itself–the sum of our freedoms to learn and know, think, create, and produce. Humans have never created a technology that can do as much to advance education, science, and discovery–and we're already seeing its benefits.

Google has officially been named a monopoly. On Aug. 5, a federal judge charged the tech giant with illegally using its market power to harm rival search engines, marking the first antitrust defeat for a major internet platform in more than 20 years--and thereby calling into question the business practices of Silicon Valley's most powerful companies. Many experts have speculated the landmark decision will make judges more receptive to antitrust action in other ongoing cases against the Big Tech platforms, especially with regards to the burgeoning AI industry. Today, the AI ecosystem is dominated by many of the same companies that the government is challenging in court, and those companies are using the same tactics to entrench their power in AI markets. Judge Amit Mehta's ruling in the Google case centered on the massive sums of money the company paid firms like Apple and Samsung to make its search engine the default on their smartphones and browsers.

So I don't see any risk associated with open sourcing models.

The theatrics of OpenAI's seeming implosion amid the firing of its CEO and co-founder Sam Altman, Microsoft's dramatic offer to poach its top executives and staff, and Altman's triumphant return following the ouster of the board has all the trappings of a Hollywood blockbuster. But the drama unfolding should put the spotlight on the tyranny of the tech titans that control critical aspects of the AI ecosystem. OpenAI has developed some of the most advanced large-language models and pioneering artificial-intelligence products, such as the text generator ChatGPT and image generator Dall-E, which have been responsible for making generative AI into a household term and discussion about AI risks into dinnertime conversation. Although OpenAI is in the spotlight, however, Microsoft has played a leading role in the unfolding drama. Microsoft swooped in to scoop up the ousted executives and create a new AI research division for Altman to lead, with hundreds of staff reportedly ready to follow them.

We introduce the fundamental ideas and challenges of Predictable AI, a nascent research area that explores the ways in which we can anticipate key indicators of present and future AI ecosystems. We argue that achieving predictability is crucial for fostering trust, liability, control, alignment and safety of AI ecosystems, and thus should be prioritised over performance. While distinctive from other areas of technical and non-technical AI research, the questions, hypotheses and challenges relevant to Predictable AI were yet to be clearly described. This paper aims to elucidate them, calls for identifying paths towards AI predictability and outlines the potential impact of this emergent field.

Soon after China's artificial intelligence rules came into effect last month, a series of new AI chatbots began trickling onto the market, with government approval. The rules have already been watered down from what was initially proposed, and so far, China hasn't enforced them as strictly as it could, experts say. China's regulatory approach will likely have huge implications for the technological competition between the country and its AI superpower rival the U.S. The Cyberspace Administration of China's (CAC) Generative AI Measures, which came into effect on Aug. 15, are some of the strictest in the world. They state that the generative AI services should not generate content "inciting subversion of national sovereignty or the overturn of the socialist system," or "advocating terrorism or extremism, promoting ethnic hatred and ethnic discrimination, violence and obscenity, as well as fake and harmful information." Preventing AI chatbots from spewing out unwanted or even toxic content has been a challenge for AI developers around the world.

For instance, backgrounds in marketing, social media marketing, social work, education, public health, and journalism can contribute fresh perspectives and expertise. Second, diversity and inclusion should be covered in training and development programs via mentorships, job shadowing, simulation exercises, and contact with diverse end user panels. Third, partnerships with academic, civil society and public sector institutions should be established to contribute to holistic and pan-disciplinary reviews of AI systems, diversity and inclusion audits, and assessment of social impacts. Fourth, a workplace culture of belonging should be created and periodically assessed via both open and confidential feedback mechanisms which include diversity markers.

We're only three months into 2023, and it's already clear what one of the biggest stories of the year is: AI. AI has seized the public's attention like Netscape did in 1994, and the iPhone did in 2007. New tools like Stable Diffusion and the just-released GPT-4 are reshaping not just how we think about the internet, but also communication and creativity and society at large. Meanwhile, relatively older AI tools like the recommendation engines that power YouTube, TikTok and other social apps are growing even more powerful -- and continuing to influence billions of lives. This new wave of AI has generated excitement, but also significant apprehension.

Mozilla's new startup will build "trustworthy" AI that benefits humanity. If that sounds familiar, it was OpenAI's founding mission. "This new wave of AI has generated excitement, but also significant apprehension. We aren't just wondering'What's possible?' and'How can people benefit?' We're also wondering'What could go wrong?' and'How can we address it?' Two decades of social media, smartphones and their consequences have made us leery. Mozilla has been asking these questions about AI for a while now -- sketching out a vision for trustworthy AI, mobilizing our community to document what's broken and investing in startups that are trying to create more responsible AI."