The European Union on Wednesday unveiled strict regulations to govern the use of artificial intelligence, a first-of-its-kind policy that outlines how companies and governments can use a technology seen as one of the most significant, but ethically fraught, scientific breakthroughs in recent memory. Presented at a news briefing in Brussels, the draft rules would set limits around the use of artificial intelligence in a range of activities, from self-driving cars to hiring decisions, school enrollment selections and the scoring of exams. It would also cover the use of artificial intelligence by law enforcement and court systems -- areas considered "high risk" because they could threaten people's safety or fundamental rights. Some uses would be banned altogether, including live facial recognition in public spaces, though there would be some exemptions for national security and other purposes. The rules have far-reaching implications for major technology companies including Amazon, Google, Facebook and Microsoft that have poured resources into developing artificial intelligence, but also scores of other companies that use the technology in health care, insurance and finance.
GlobalData research has found the top influencers in artificial intelligence based on their performance and engagement online. Using research from GlobalData's Influencer platform, Verdict has named ten of the most influential people in artificial intelligence on Twitter during Q4 2020. Kirk Borne is a principal data scientist and executive advisor at Booz Allen Hamilton, analytics, digital and engineering consulting firm. Borne also serves as an advisory board member of Syntasa, a computer software company, and as an executive committee member of the Astroinformatics and Astrostatistics International Organisations. Ronald Van Loon is a principal analyst and CEO of the Intelligent World, an influencer network that connects people and businesses.
Automated vehicles are rapidly advancing in capability, altering the risks and liabilities ... [ ] traditionally associated with driving. Self-driving vehicles should ideally accomplish a few things: convenience for operators/owners of vehicles, cost reduction for commercial vehicles (no driver), and safer roads (fewer and less severe crashes). This last item, if true, will significantly lower the risks traditionally associated with driving. In fact, the removal of the driver fundamentally alters the liabilities that insurance companies have spent almost a century covering. As liabilities and risks shift, how vehicles are insured and the costs of that insurance will change, disrupting a $300B industry and creating opportunities for innovation. The US Department of Transportation rates a vehicle's ability to self-drive from Level 0 (none) to Level 5 (fully autonomous).
While the governments of the United States and China are pushing policies for technological decoupling, private tech firms continue to tap resources from both sides. In the field of autonomous vehicles, it's common to see Chinese startups -- or startups with a strong Chinese link -- keep operations and seek investments in both countries. But as these companies mature and expand globally, their ties to China also come under increasing scrutiny. When TuSimple, a self-driving truck company headquartered in San Diego, filed for an initial public offering on Nasdaq this week, its prospectus flagged a regulatory risk due to its Chinese funding source. On March 1, the Committee on Foreign Investment in the United States (CFIUS) requested a written notice from TuSimple regarding an investment by Sun Dream, an affiliate of Sina Corporation, which runs China's biggest microblogging platform Sina Weibo.
Zhang, Daniel, Mishra, Saurabh, Brynjolfsson, Erik, Etchemendy, John, Ganguli, Deep, Grosz, Barbara, Lyons, Terah, Manyika, James, Niebles, Juan Carlos, Sellitto, Michael, Shoham, Yoav, Clark, Jack, Perrault, Raymond
Welcome to the fourth edition of the AI Index Report. This year we significantly expanded the amount of data available in the report, worked with a broader set of external organizations to calibrate our data, and deepened our connections with the Stanford Institute for Human-Centered Artificial Intelligence (HAI). The AI Index Report tracks, collates, distills, and visualizes data related to artificial intelligence. Its mission is to provide unbiased, rigorously vetted, and globally sourced data for policymakers, researchers, executives, journalists, and the general public to develop intuitions about the complex field of AI. The report aims to be the most credible and authoritative source for data and insights about AI in the world.
Autonomous trucking company TuSimple Inc., which gained momentum with hundreds of millions of dollars in financing from Chinese investors and U.S. freight-hauling companies, has filed paperwork to go public and plans to join the U.S. stock market as early as next month, according to people familiar with the matter. The company, which has offices in San Diego and China, has filed confidentially for an IPO and plans to make that filing public in early March and will list its shares for trading a few weeks later, the people said. That schedule is subject to change and market conditions could alter TuSimple's plans. Morgan Stanley is the lead banker on the IPO, the people said. TuSimple said it raised $215 million in a 2019 financing round that valued it at $1.2 billion.
As we make tremendous advances in machine learning and artificial intelligence technosciences, there is a renewed understanding in the AI community that we must ensure that humans being are at the center of our deliberations so that we don't end in technology-induced dystopias. As strongly argued by Green in his book Smart Enough City, the incorporation of technology in city environs does not automatically translate into prosperity, wellbeing, urban livability, or social justice. There is a great need to deliberate on the future of the cities worth living and designing. There are philosophical and ethical questions involved along with various challenges that relate to the security, safety, and interpretability of AI algorithms that will form the technological bedrock of future cities. Several research institutes on human centered AI have been established at top international universities. Globally there are calls for technology to be made more humane and human-compatible. For example, Stuart Russell has a book called Human Compatible AI. The Center for Humane Technology advocates for regulators and technology companies to avoid business models and product features that contribute to social problems such as extremism, polarization, misinformation, and Internet addiction. In this paper, we analyze and explore key challenges including security, robustness, interpretability, and ethical challenges to a successful deployment of AI or ML in human-centric applications, with a particular emphasis on the convergence of these challenges. We provide a detailed review of existing literature on these key challenges and analyze how one of these challenges may lead to others or help in solving other challenges. The paper also advises on the current limitations, pitfalls, and future directions of research in these domains, and how it can fill the current gaps and lead to better solutions.
Artificial intelligence has come a long way since the 1950s when the concept has entered the minds of scientists, mathematicians, and philosophers. Alan Turing is often mentioned as one of the precursors of the artificial intelligence we know and use in our times. Moreover, his 1950 paper, Computing Machinery and Intelligence details how to build such intelligent machines and how to assess their intelligence. Since then, the concept of machine learning has made incredible progress. Deep learning systems are no longer in need of human programming. They learn on their own based on data sets to identify patterns and anomalies.
Success in creating effective AI, could be the biggest event in the history of our civilisation. So we cannot know if we will be infinitely helped by AI, or ignored by it and side-lined, or conceivably destroyed by it. Artificial Intelligence (AI) is the term to describe a machine's learning, logic, reasoning, perception and creativity which were once considered unique to humans but now replicated by technology and use in every industry. Artificial Intelligence is the use of computer science programming to imitate human thought and action by analysing data and surroundings, solving or anticipating problems, learning of self-teaching or adapting to a variety of tasks. AI can relieve humans of various repetitive tasks.
Gatik, a Palo Alto and Toronto based autonomous technology company deploying autonomous vehicles for B2B short-haul middle-mile logistics, announced today it has raised $25 million in Series A funding. The round was co-led by Wittington Ventures and Innovation Endeavors with participation from FM Capital and Intact Ventures. Existing investors like Dynamo Ventures, Fontinalis Partners, AngelPad and others participated as well. Gatik's investors bring a wealth of deep experience in automotive, artificial intelligence and supply chain, making them a strong strategic fit for the company's rapid growth. Gatik will use the funding to further expand its operations across North America, its team size in Silicon Valley and growing presence in Canada.