Cognitive scientist and AI expert Gary Marcus advocates for the formation of an international body to govern emerging artificial intelligence technologies. The world needs a United Nations-like agency to regulate rapidly advancing artificial intelligence technology, particularly since governments are starting to pass laws that put varying demands on AI companies. "Right now, we have 37 countries that passed laws about artificial intelligence last year, each of them doing their own thing," said Gary Marcus, who hosts the AI-themed podcast, "Humans vs Machines with Gary Marcus." "But there's no coordination between what all of these countries are doing." Without a shared regulatory body, AI companies might be forced to modify their software and offer different versions from country to country -- or even state to state -- to comply with each unique law, according to Marcus.

FOX Business correspondent Lydia Hu has the latest on jobs at risk as AI further develops on'America's Newsroom.' India has no plans to regulate the use and development of artificial intelligence (AI), calling the technology and its potential uses "significant and strategic" for the nation. The Indian Ministry of Electronics and IT released a statement on Wednesday in which it detailed the country's position regarding the development, potential and dangers of AI – a topic of increasing concern and interest after hundreds of industry experts signed a letter calling for a pause in development. The ministry also wrote that it "further believes that AI will have kinetic effect for the growth of entrepreneurship & business and Government is taking all necessary steps in policies and infrastructure to develop a robust AI sector in the country." India aims to position itself as a global leader on AI to "ensure responsible and transformational use of AI for all."

Abstract-- In a Human-in-the-Loop paradigm, a robotic agent is able to act mostly autonomously in solving a task, but can request help from an external expert when needed. In this paper, we present a Reinforcement Learning based approach to this problem, where a semi-autonomous agent asks for external assistance when it has low confidence in the eventual success of the task. We show that this estimate can Figure 1: An illustration of HULA, the method we propose in this be iteratively improved during training using a Bellman-like paper. On discrete navigation problems with both fullyand help of an expert (A) cannot localize itself accurately due to partial partially-observable state information, we show that our observability, goes down the wrong passage and fails to reach the method makes effective use of a limited budget of expert calls target. A HULA agent (B) decides to request assistance from an at run-time, despite having no access to the expert at training available external expert in the states marked with a red E and time.

As businesses, consumers and government agencies look for ways to take advantage of artificial intelligence tools, experts this week called on Congress to craft AI regulations addressing challenges facing the technology. AI concerns run the gamut from bias in algorithms that could affect decisions such as who is selected for housing and employment opportunities, to the use of deep fake AI that can artificially generate images and sounds that can imitate real human beings' appearances and voices. Yet AI has also led to the development of lifesaving drugs, advanced manufacturing and self-driving cars. Indeed, the increased adoption of artificial intelligence has led to the rapid growth of advanced technology in "virtually every sector," said Sen. Gary Peters (D-Mich.), chairman of the U.S. Senate Committee on Homeland Security and Governmental Affairs. Peters spoke during a committee hearing on AI risks and opportunities Wednesday.

Adopting and sharing best practice to govern the use of artificial intelligence (AI), as well as clear guidance, will encourage responsible innovation and make sure people benefit from emerging technologies. That was one of the conclusions of a new report from global analytics leader SAS, AI & Responsible Innovation: What's Next? As an insatiable appetite for data analytics and advances in quantum computing fuel new developments in AI, concerns are mounting that it could lead to people being harmed or disadvantaged, whether this is done intentionally or not. One of contributors to the SAS report is data scientist, global speaker and founder of the Data Leadership Group Dr Kirk Borne. He said: "AI has become so powerful, and so pervasive, that it's increasingly difficult to tell what's real or not, and what's good or bad. "Of course, it's not only the outright criminals we need to be wary of.

It may sound like a plot from a science fiction film, but NASA and the world governments are concerned about alien viruses contaminating Earth. As the first humans prepare for the Mars mission, experts warn that protocols are necessary to keep extraterrestrial pollutants from hitchhiking on space ships and astronauts when returning home from the Red Planet. Stanford professor of aeronautics and astronautics Scott Hubbard said in an interview that the solution is'planetary protection'. Mechanical systems will have to undergo a combination of chemical cleaning and heat sterilization, while the tubes containing samples from Mars need to be treated'as though they are the Ebola virus until proven safe.' Hubbard also suggests that astronauts must be quarantine once they touch down on our planet, as the first men who visited the moon in the Apollo mission did. As the first humans prepare for the Mars mission, experts warn that protocols need to be created to keep extraterrestrial pollutants from hitchhiking on space ships and astronauts when returning home.

Scientists have proposed a new international framework to keep ethics and human wellbeing at the forefront of our relationship with technology. From gene therapy and AI-predicted disease to self-driving cars and 3D printing, advances in technology can improve health, free up time, and boost efficiency. However despite the best intentions of its creators, technology might lead to unintended consequences for individual privacy and autonomy. There's currently no internationally agreed-upon regulation about who, for example, has access to the data recorded by black boxes in cars, smart TVs and voice enabled personal assistants - and recent findings have shown that technology can be used to influence voting behaviour. Now, Imperial College London researchers have suggested a new regulatory framework with which governments can minimise unintended consequences of our relationship with technology.

When Elon Musk and Jack Ma famously sat down for a chat about AI, their thoughts were inspiring for some and excruciating for others. They discussed AI in an all-too-common display of fantastical forecasts and philosophical musings. The status quo of conversations about AI shoots us into the future, where we're allowed to get far ahead of ourselves simply because such discussions are admittedly more fun. We need to get back to the present, so that we may actually solve the problems standing in the way of our projected future. For that, I recommend a new book, Rebooting AI: Building Artificial Intelligence We Can Trust, which has set off a buzz in the land of AI enthusiasts and skeptics alike.

If they haven't done so already, cyber attackers may soon be arming themselves with artificial intelligence and machine learning (ML) strategies and algorithms. Before long, it may not be a fair fight if defenders remain naive to what AI and ML can do on both sides of the battle. So suggests a new report by IEEE and the Canadian tech consulting firm Syntegrity. The report -- stemming from a three-day intensive meeting last October of cybersecurity experts from government, the military, and industry -- aggregates the group's findings into what it calls the six "dimensions" at the intersection of AI, ML, and cybersecurity. First, the report advocates ways to keep cybersecurity regulations and laws up to speed with the latest developments in the field.

If they haven't done so already, cyber attackers may soon be arming themselves with artificial intelligence and machine learning (ML) strategies and algorithms. Before long, it may not be a fair fight if defenders remain naive to what AI and ML can do on both sides of the battle. So suggests a new report by IEEE and the Canadian tech consulting firm Syntegrity. The report--stemming from a three-day intensive last October of cybersecurity experts from government, the military, and industry--aggregates the group's findings into what it calls the six "dimensions" at the intersection of AI, ML, and cybersecurity. First, the report advocates ways to keep cybersecurity regulations and laws up to speed with the latest developments in the field.