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About the Journal

AAAI Conferences

AI Magazine is an official publication of the Association for the Advancement of Artificial Intelligence (AAAI). It is published four times each year in fall, winter, spring, and summer issues, and is sent to all members of the Association and subscribed to by most research libraries. Back issues are available on-line (issues less than 18 months old are only available to AAAI members). The purpose of AI Magazine is to disseminate timely and informative expository articles that represent the current state of the art in AI and to keep its readers posted on AAAI-related matters. The articles are selected for appeal to readers engaged in research and applications across the broad spectrum of AI.



Panel Discussion: Artificial Intelligence in Sales February 27th at 10am PST by John Golden - SalesPOP!

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The use of Artificial Intelligence in Sales has become a hot topic with a lot of hype and myth included. Join this expert panel who will discuss AI in Sales and cut through the noise bringing you the reality and the real benefit of AI for Sales. Join our host John Golden with guests Nikolaus Kimla, Adrian Davis and Rob Jolles on February 27th at 10am PST to as they discuss Artificial Intelligence in sales. Nikolaus Kimla – A 30-year veteran of the computer industry, Nikolaus has founded and run several software companies. He and his company uptime iTechnology are the developers of World-Check, a risk intelligence platform eventually sold to Thomson Reuters for $520 million.


Artificial Intelligence and Robotics - Special Issue 17 (2017)

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Improvements and convergences in machine learning and neurosciences combined with the availability of massive datasets and the ubiquity of high-performance scalable computing are propelling us into a new age of Artifi cial Intelligence (AI). In this second part, we perform a deep dive into some of the most interesting cases of the deployment of artifi cial intelligence systems in cities. AI can be essentially analyzed as a "prediction technology," the diff usion of which can drastically bring down the cost of processing historical data and therefore of making prediction for a wide array of crucial tasks such as risk profi ling, inventory management, and demand forecasting. Is this time different?" is the question that expert worryingly argue over when they analyze the socio-economic impact of the AI revolution as compared with the previous industrial revolutions of the 19th and 20th centuries.


Journal of Small Business & Entrepreneurship Special Issue on Socio-economic and Policy Impacts of AI

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With the recent progress in artificial intelligence (AI) algorithms, dramatic increase in computational capacities, and availability of big data necessary for training deep neural networks, a lot of AI applications became available at the market and automation tendencies started to penetrate all spheres of human activities and all industries. While the topic of AI has been getting a lot of media coverage and public attention, profound research on its socio-economic and policy effects, especially with regard to entrepreneurship, has yet to be developed. Moreover, methodological papers in artificial intelligence field have been mainly published in very technical venues and it is difficult for a broader publics to grasp the most recent developments in this area. Therefore, the purpose of this special issue is to address these shortcomings. This special issue is the first initiative to interact the technical and methodological papers in AI with papers exploring socio-economic, entrepreneurship and policy effects of AI.


Special issue on "Governing artificial intelligence: ethical, legal and technical opportunities and challenges"

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Research article: Soft ethics, the governance of the digital and the General Data Protection Regulation Luciano Floridi Research article: The fallacy of inscrutability Joshua A. Kroll Opinion piece: Constitutional democracy and technology in the age of artificial intelligence Paul Nemitz Research article: Artificial intelligence policy in India: a framework for engaging the limits of data-driven decision-making Vidushi Marda Research article: Algorithms that remember: model inversion attacks and data protection law Michael Veale, Reuben Binns, Lilian Edwards Research article: Ethical governance is essential to building trust in robotics and artificial intelligence systems Alan F. T. Winfield, Marina Jirotka Research article: Apples, oranges, robots: four misunderstandings in today's debate on the legal status of AI systems Ugo Pagallo Research article: Democratizing algorithmic news recommenders: how to materialize voice in a technologically saturated media ecosystem Jaron Harambam, Natali Helberger, Joris van Hoboken


#CogX 2018 Panel Discussion with 4 teens-future leaders

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AI is shaping the world, who will be shaping AI? The future may be uncertain, but one certainty is that today's youth will be central to shaping it. Acorn Aspiration's mission is to empower and assist teens in learning and shaping the future of AI for positive contributions to the world. More than 1500 young people have participated in Acorn's Bootcamps/Hackathons, Accelerator programs, and conferences to date. Acorn's latest initiative, TeensInAI, was launched at the UN AI for Good Summit in May, and followed by a 5-day Bootcamp/ Hackathon.


Editorial Policies

AAAI Conferences

The purpose of AI Magazine is to disseminate timely and informative articles that represent the current state of the art in AI and to keep its readers posted on AAAI-related matters. The articles are selected for appeal to readers engaged in research and


Neovision keeps going !

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In the beginning of June, Neovision welcomed three new collaborators. With this additional potential, Neovision will continue to perform and match the challenges related to the deployment of Artificial Intelligence. A phenomenon that affects a growing number of companies, which are working on their digital transformation, as evidenced by the newly launched projects with EDF and Michelin! More than ever, Neovision remains attached to its values and makes AI accessible to everyone.


From PhD to Product: An AI Leaders Panel Discussion

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Leaders in AI applications will talk about their personal paths from being research-focused grad students to results-focused product leaders. They will share lessons learned from which parts of academia did (and did not) carry over to making AI work in the real-world, and provide guidance to people pursuing a similar path.