Rep. Jay Obernolte was selected to lead the House task force on AI. Fox News Digital speaks with the California Republican about his goals for the panel and his own thoughts about the rapidly advancing technology. Soon after Italian watchdog Garante took on ChatGPT with a temporary shutdown locally last year, it tried to strengthen its team by hiring four artificial intelligence (AI) experts. But Italy's data protection agency could not recruit the people it wanted, with a dozen candidates dropping out over issues including pay, highlighting a growing challenge facing regulators around the world. "The search process went worse than our low expectations," Garante board member Guido Scorza told Reuters, adding: "We will come up with something else, but so far we have lost."

ChatGPT caught regulators by surprise when it set off a new AI race. As companies have rushed to develop and release ever more powerful models, lawmakers and regulators around the world have sought to catch up and rein in development. As governments spin up new AI programs, regulators around the world are urgently trying to hire AI experts. But some of the job ads are raising eyebrows and even chuckles among AI researchers and engineers for offering wages that, amid the current AI boom, look pitiful. The European AI Office, which will be central to the implementation of the EU's AI Act, listed vacancies early this month and wants applicants to begin work in the fall.

Back before he retired, Naval War College professor and contributor to The Atlantic Tom Nichols published a 2017 book called The Death of Expertise. Those who claim their own facts or knowledge without supporting evidence, he noted, have become more and more prominent in online conversation we've been having. And the noisiest and most prone to online pyrotechnics and bomb throwing have been getting the most attention. As a result, the quieter voices from those who know how to build a balanced consensus–using mutually agreed-upon facts–and have expertise in areas that have a direct and immediate impact on society are being drowned out. Here's a recent example of how those with expertise seem to have less clout now than they used to.

China has entered the top tier of artificial intelligence capabilities for the first time and the gap with the US is narrowing, according to a recent research report. China has been inducted into the first class of the'Artificial Intelligence Index Report 2021' due to continuous improvements in the comprehensive strength of the country's AI technology, said the head of the research team at the Institute of Scientific and Technical Information of China. In the previous two years that the report was compiled, only the US made this class. Although the US still comes top with a score of 59.42, China ranks second for the second year running with a score of 50.14, and the gap between the two is closing, Xu Feng, who is also executive deputy director of ISTIC's Artificial Intelligence Development Research Center, told Yicai Global.

In 1960, J.C.R. Licklider, an MIT professor and an early pioneer of artificial intelligence, already envisioned our future world in his seminal article, "Man-Computer Symbiosis": In the anticipated symbiotic partnership, men will set the goals, formulate the hypotheses, determine the criteria, and perform the evaluations. Computing machines will do the routinizable work that must be done to prepare the way for insights and decisions in technical and scientific thinking. In today's world, such "computing machines" are known as AI assistants. However, developing AI assistants is a complex, time-consuming process, requiring deep AI expertise and sophisticated programming skills, not to mention the efforts for collecting, cleaning, and annotating large amounts of data needed to train such AI assistants. It is thus highly desirable to reuse the whole or parts of an AI assistant across different applications and domains.

Running and growing an AI startup comes with its own unique set of challenges compared to other sectors, ranging from; talent acquisition, how to implement the technology, busting the AI hype around what it is and its capabilities, the accessibility of trusted or secure data and a lack of AI expertise in industries. In the first article of a three part series focusing on what founders are doing to navigate the fast growth AI industry, Information Age spoke to the founders of some the UK's leading AI startups to understand the ten main pain points of running an AI business. A major challenge for any growing AI startup, as well other technology-focused roles (like cyber security), is talent acquisition. In these industries there is often a talent shortfall compared to the number of jobs available. Miriam Cha, co-founder and COO of Rahko -- a quantum machine learning company focused on the discovery of new drugs and materials, explains that attracting the best people from relatively scarce talent pools is a major hurdle.

As organizations worldwide continue to respond and react to a new business climate, we have seen more clearly than ever that the traditional approach to business applications is no longer sufficient. Organizations need a new class of business applications that provides the agility to see and respond to emerging trends, new opportunities, and potential risks so that ultimately, they can delight their customers and deliver the business outcomes that truly matter. That's why today we are excited to announce, together with C3.ai and Adobe, the launch of C3 AI CRM powered by Microsoft Dynamics 365. C3 AI CRM leverages Dynamics 365 as the foundation for end-to-end, intelligent customer engagement, with Adobe Experience Cloud providing real-time customer profile and customer journey management, together with C3.ai's industry-specific enterprise AI capabilities. With C3 AI CRM, organizations can unlock the power of AI-driven customer relationship management in a solution purpose-built for specific industries, leveraging data from any source to produce predictive business insights.

The KTP initiative also allowed for upskilling and re-educating companies such as Rimilia in different aspects related to data science and machine learning. Employees at Rimilia had the opportunity to improve their expertise in how and in which areas AI can help boost the company's solutions, enhancing performance and increasing the market share. In addition, the project helped established the special requirements and the infrastructure Rimilia needs to meet to benefit from AI expertise.

AI leaders are in high demand, but come from a wide variety of backgrounds and experiences. We look at common career paths and profiles, based on our recent analysis of more than 100 AI leaders worldwide. AI has steadily evolved from a near-mythical technology to a pressing reality for organizations in every industry. Hailed as the next Industrial Revolution, AI is projected to increase labor productivity by up to 40 percent, and profoundly change the nature of work.1 Current estimates show AI creating 2.3 million jobs, eliminating 1.8 million jobs and producing insights that will assist one in five workers.2 As AI technology matures, two major talent challenges confront organizations aiming to tap its rich potential.

Artificial Intelligence is already impacting Manufacturing, Retail, Marketing, Healthcare, Food industries and more. Today we will take an in-depth look at another industry, that with proper AI expertise from development companies could be disrupted. Transportation is an industry that helps humanity with moving people their belongings from one location to the other. While doing that, this industry had experienced countless twists, turns, breakthroughs, and setbacks to get to the place where it is now. The year 1787 was the defining one for this industry because steamboat was introduced and changed everything.