The goal of the present paper is to develop and validate a questionnaire to assess AI literacy. In particular, the questionnaire should be deeply grounded in the existing literature on AI literacy, should be modular (i.e., including different facets that can be used independently of each other) to be flexibly applicable in professional life depending on the goals and use cases, and should meet psychological requirements and thus includes further psychological competencies in addition to the typical facets of AIL. We derived 60 items to represent different facets of AI Literacy according to Ng and colleagues conceptualisation of AI literacy and additional 12 items to represent psychological competencies such as problem solving, learning, and emotion regulation in regard to AI. For this purpose, data were collected online from 300 German-speaking adults. The items were tested for factorial structure in confirmatory factor analyses. The result is a measurement instrument that measures AI literacy with the facets Use & apply AI, Understand AI, Detect AI, and AI Ethics and the ability to Create AI as a separate construct, and AI Self-efficacy in learning and problem solving and AI Self-management. This study contributes to the research on AI literacy by providing a measurement instrument relying on profound competency models. In addition, higher-order psychological competencies are included that are particularly important in the context of pervasive change through AI systems.

The Department of Defense's Joint Artificial Intelligence Center recently launched new AI education pilots for thousands of DOD employees that range from executive education for general officers to in-depth coding bootcamps. The most recent cohort of participants started taking an "AI 101" course in early February through a partnership with the Massachusetts Institute of Technology while another recently entered an AI coding bootcamp. The range of educational offerings from the AI-accelerator is designed to eventually be transitioned to other DOD institutions for tens or even hundreds of thousands of people to learn about AI, Greg Allen, the JAIC's head of policy and strategy, told FedScoop. "We are running training pilots to really test," Allen said. "We partner with the broader department of defense … to help them deliver education materiel at scale."

Register for a free or VIP pass today. CrowdAI, a computer vision development platform, today announced that it closed a $6.25 million series A financing round led by Threshold Ventures. The fundraising coincides with the launch of the startup's new solution that allows customers to create AI that analyzes images and videos. The AI skills gap remains a significant impediment to adoption in most enterprises, a 2020 O'Reilly survey found. Slightly more than one-sixth of respondents cited difficulty in hiring experts as a barrier to AI deployment in their organizations.

The National Science Foundation and other federal agencies including the U.S. Department of Agriculture will invest $140 million in seven institutes focused on AI, while the Energy Department will supervise and invest $625 million in the five institutes focused on quantum information sciences, which includes quantum computing. The DOE's investment will be matched by $300 million in private contributions, part of which comes in the form of technology-services donations from International Business Machines Corp., Microsoft Corp., and other companies. The news comes on the heels of the Trump administration's proposal to spend about 30% more in the 2021 nondefense budget for artificial intelligence and quantum information science. It also coincides with competitive pressure from China and other countries that are investing in these emerging technologies. China is adopting AI at a faster rate than the U.S. and the European Union, according to a 2019 report released by the Center for Data Innovation, a nonpartisan research institute.

Time: December 10 at 11 am ET Title: The role of AI in the municipalities Overview: Artificial Intelligence is one of the key drivers behind the business transformation and the leaders are seeing the potential of its impact in their respective organizations. The new wave of Artificial Intelligence is all about enabling anyone to create AI driven applications with low code/no code approach with the rising power of the Power Platform and Azure Cognitive Services. In this session, let's review some of the use cases on how the AI can be democratized in the context of municipalities and the toolset that enables it. Overview: Artificial Intelligence is one of the key drivers behind the business transformation and the leaders are seeing the potential of its impact in their respective organizations. The new wave of Artificial Intelligence is all about enabling anyone to create AI driven applications with low code/no code approach with the rising power of the Power Platform and Azure Cognitive Services.

Over the last few decades, the unprecedented pace of technological progress has allowed us to upgrade and modernize much of our infrastructure and solve many long-standing logistical problems. For example, Babylon Health's AI-driven smartphone app is helping assess and prioritize 1.2 million patients in North London, electronic transfers allow us to instantly send money nearly anywhere in the world, and, over the last 20 years, GPS has revolutionized how we navigate, how we track and ship goods, and how we regulate traffic. However, exponential growth comes with its own set of hurdles that must be navigated. The foremost issue is that it's exceedingly difficult to predict how various technologies will evolve. As a result, it becomes challenging to plan for the future and ensure that the necessary safety features are in place.

SAPPORO – The development of artificial intelligence software that can write haiku based just on images is underway, with researchers hoping the project will improve how technology understands human emotion. A team of researchers and software developers led by Hidenori Kawamura, a 44-year-old professor at Hokkaido University's graduate school, is aiming to create AI that can analyze a vast amount of poetry to generate a haiku written about a subject or scene. The AI has been learning masterpieces composed by renowned Japanese poets such as Kobayashi Issa (1763-1827) and Masaoka Shiki (1867-1902), and analyzing pictures picked by volunteers that correspond to the poems. According to the team, the AI checks whether it is following structural rules and is using appropriate seasonal references. Haiku are defined by the use of a set number of syllables and traditionally use words that describe the season in which the work is set.

There are plenty of articles out on the internet talking about how 2017 will be the year of AI and how it will change the way in which we drive our cars, organize our homes with the internet of things (IoT), and live our lives. But much of the progress made in developing AIs could never have been made had it not been for video games spurring developers on. Video game AIs have come a long way from when Nintendo sent Goombas marching at Mario in a set path and are certainly now capable of carrying out complex commands. But AI developers are now trying to create AIs that can actually think, learn and develop their own personalities as opposed to following a script with branching paths. This can not only affect how we interact and play video games, but help create better AI to change how we live our day to day lives. Of course, we have already managed to create AI which can learn.

Artificial intelligence is still surrounded by an aura of mystery, and it would be tough to find a better illustration than the story in the news last week about a British grandmother who includes "please" and "thank you" in all her Google searches. "Please translate these roman numerals mcmxcviii thank you," read the search request from May Ashworth that ultimately went viral when her grandson tweeted it on Twitter. "I thought, well somebody's put it in, so you're thanking them," Ashworth reportedly explained. "I don't know how it works, to be honest. It's an endearing tale that drew notice from Google itself, but it also underscores the way AI, in particular, has been something of a black box.

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