An array of experts has contributed deep insight into how artificial intelligence is impacting on the way information is being produced, disseminated and consumed, thus reshaping the communications landscape. They joined a panel on 5 March, in the framework of Mobile Learning Week at UNESCO HQ in Paris, for a dedicated workshop on the subject. Guy Berger, Director for Freedom of Expression and Media Development at UNESCO, opened the discussion by describing the problem of disinformation by drawing on definitions of the Council of Europe and the European Union. This perspective sees disinformation as content that is deliberately and intentionally fabricated, not true nor verifiable, and which is produced with the intention of making a profit, and/or pushing a certain ideological or political agenda. Through social media algorithms, micro-targeting and persuasion, the dissemination of'deep fakes', AI-generated content and automated trolling, artificial intelligence evidently plays a crucial role in the rapid spread of disinformation.

I've been working on value extraction in dialogue systems for the last few months.

Do androids dream of electric beats? In 2012, Iamus released a CD of classical music performed by the London Symphony Orchestra. Music critic Tom Service was somewhat dismissive, calling Iamus's composition Hello World! "so unmemorable, and the way it's elaborated so workaday, that the piece leaves no distinctive impression." But it wasn't a bad debut really--when you consider that Iamus is not a composer but a computer algorithm, developed by researchers at the University of Málaga in Spain. Marcus du Sautoy, mathematician and Simonyi Professor for the Public Understanding of Science at Oxford, doesn't talk about Iamus in his new book The Creativity Code, but the question he poses about such efforts amounts to this: can we call Iamus a composer? When Iamus's compositions were played to musically informed listeners, they were unable to distinguish them from music in a similar (modernist) style composed by humans.

Please disable your ad blocker for POST to be able to enjoy our free content. The research, which has been published in two reports, "Asia's AI agenda: The ecosystem" and "Asia's AI agenda: AI for business," is based on a multi-industry survey of 871 senior executives drawn from 13 Asia-Pacific markets. From China to Japan, Singapore to India, policymakers across Asia are developing national-level plans for using AI to enhance domestic and regional competitiveness. Business leaders are positive about the region's AI resources, particularly data availability and the quality of external talent. More can be done to bolster the R&D environment, and governments can still provide greater support.

Security firm McAfee has warned that it's more likely humans will use AI for malicious purposes rather than it going rogue itself. It's become a cliché metaphor, but people are still concerned a self-thinking killer AI like SkyNet from the film Terminator will be created. McAfee CTO Steve Grobman spoke at this year's RSA conference in San Francisco and warned the wrong humans in control of powerful AIs are his company's primary concern. To provide an example of how AIs could be used for good or bad purposes, Grobman handed over to McAfee Chief Data Scientist Dr Celeste Fralick. Fralick explained how McAfee has attempted to predict crime in San Francisco using historic data combined with a machine learning model.

GIPHY recently released its machine learning model, GIPHY Celebrity Detector, under the Mozilla Public License 2.0(MLP). While there are numerous face recognition models like OpenFace out there, they don't have the quirk of being specifically trained to accurately analyze a celebrity's face. GIHPY boasts a 98% accuracy rate. Of course, Redditors tested out this claim by conducting an experiment of their own. One Redditor achieved a great outcome when submitting Will Smith.

If you think there's an app out there for everything in photography, you're pretty much right. There are few things that apps don't do anymore, and, when it comes to incorporating new things like artificial intelligence, the sky is truly the limit as to what smartphones and computers will be able to do to photographs in the future. One cool innovation that's received a lot of press lately is the Spectre app for Apple's iOS systems. Basically it's a long-exposure app that uses AI to simulate what would normally take a long time to capture. Coming from the same team behind the Halide app, Spectre can make "moving subjects disappear in busy areas, such as the cars on the bridge below, or you can create light painting and other effects through subject motion, just like when shooting with a DSLR that has been set to a long shutter speed" according to DPReview.

A 17-year-old bet his high school programming club that artificial intelligence (AI) could outperform human beings. To prove it, Robbie Barrat developed a program that could write its own rap lyrics using 6,000 Kayne West lyrics.1 He is not the only one creating art using AI. Major news organizations like The Washington Post are integrating AI into their business models.2 In addition, a painting created by Obvious using AI was recently auctioned off by Christie's for almost a half of a million dollars.3

You should look at your data. Graphs and charts let you explore and learn about the structure of the information you collect. Good data visualizations also make it easier to communicate your ideas and findings to other people. Beyond that, producing effective plots from your own data is the best way to develop a good eye for reading and understanding graphs--good and bad--made by others, whether presented in research articles, business slide decks, public policy advocacy, or media reports. This book teaches you how to do it.

Artificial intelligence is becoming a central part of people's lives, even if they don't realize it. So many everyday functions have an artificial intelligence component – from auto-correct on text messages to map routes, from home loan approvals to Netflix suggestions. But while that may sound innovative, questions of "fairness" have arisen. For example, when it comes to home mortgages, white males tend to be approved more often and get lower interest rates, compared with others. But is it fair for that group to get an advantage over others?