The plaintiffs are artist Amel Chamandy and Galerie NuEdge Fine Arts (which sells and exhibits her art). Mr Basanta is a world renowned new media artist who experiments with AI in his work. According to a letter dated July 4, filed with the court, Mr. Basanta's current project is "to explore connections between mass technologies, using those technologies themselves." He explains his process in a video which can be found here. Essentially, he has created what he describes as an "art-factory" that randomly generates images without human input.

Amazon's machine-learning specialists uncovered a big problem: their new recruiting engine did not like women. The team had been building computer programs since 2014 to review job applicants' résumés, with the aim of mechanizing the search for top talent, five people familiar with the effort told Reuters. Automation has been key to Amazon's e-commerce dominance, be it inside warehouses or driving pricing decisions. The company's experimental hiring tool used artificial intelligence to give job candidates scores ranging from one to five stars – much as shoppers rate products on Amazon, some of the people said. "Everyone wanted this holy grail," one of the people said.

Google is secretly planning to launch a censored version of its search engine in China within the next year, a leaked transcript seems to reveal. According to The Intercept, Google's search engine chief Ben Gomes held a meeting in July to discuss the progress of a new search engine, dubbed Project Dragonfly. The platform would blacklist words and phrases like "human rights," "Nobel Prize," and "student protest," in order to conform with China's strict censorship laws. "You have taken on something extremely important to the company," Mr Gomes told the Google employees, according to the transcript obtained by the publication. "I have to admit it has been a difficult journey. But I do think a very important and worthwhile one. And I wish ourselves the best of luck in actually reaching our destination as soon as possible."

Amazon's machine-learning specialists uncovered a big problem: their new recruiting engine did not like women. The team had been building computer programs since 2014 to review job applicants' resumes with the aim of mechanizing the search for top talent, five people familiar with the effort told Reuters. But the firm was ultimately forced to end the project after it found the system had taught itself to prefer male candidates over females. Amazon was forced to shut down an experimental hiring tool after it was found to discriminate against female candidates. Amazon had been building computer programs since 2014 to review job applicants' resumes with the aim of mechanizing the search for top talent The experimental hiring tool used artificial intelligence to give job candidates scores ranging from one to five stars - much like shoppers rate products on Amazon.

You are free to share this article under the Attribution 4.0 International license. Machine learning could help safeguard public health and spot environmental dangers, according to new research. As Hurricane Florence ground its way through North Carolina, it released what might politely be called an excrement storm. Massive hog farm manure pools washed a stew of dangerous bacteria and heavy metals into nearby waterways. More efficient oversight might have prevented some of the worst effects, but even in the best of times, state and federal environmental regulators are overextended and underfunded.

Court is now in session, and author Robert J. Sawyer makes the case for leveraging AI to improve ethics and fairness in civil society. With 23 novels under his belt, as well as scores of short stories, scripts, treatments and more, Hugo and Nebula Award-winning author Robert J. Sawyer is not shy about exploring the technological and cultural landscape of our future. Among the many works in his remarkable and widely regarded career, he authored the trilogy WWW (as in Wake, Watch and Wonder) in which a blind teenage girl uses advanced medical technology to augment her vision, only to discover a super-AI consciousness called Webmind that uses the Internet to grow. During the series, Sawyer investigates the possible consequences that such a super-AI could unleash upon society, and how humans might respond. For his perspective on how humanity might relate to future artificial intelligences and what shape those interactions may take, we asked Sawyer about the dynamics of judgment and control; he also shared his overall sentiment on AI development.

From iPhone's Siri to Amazon's Alexa, from Google Maps to Netflix recommendations, and from customer service chatbots to the airplanes' autopilot, artificial intelligence (AI) has seeped into our daily lives. It will soon impact every facet of our daily lives from driverless cars to smart homes. Where AI is making a real difference is in catching criminals. Globally, United Nations Office on Drugs and Crime (UNODC) estimates that 2-5% of global GDP, or $800 billion to $2 trillion, is laundered annually. Money laundering is closely tied to other serious offenses such as terror financing, drug trade, human trafficking and corruption.

An undercover investigation showed video of an Apple Genius Bar employee in Canada telling a customer that the simple repair to his Apple computer would cost as much as a new computer. The National went undercover with a hidden camera to an Apple Store in Toronto to see what the employees would say about a laptop with a darkened screen. After the employee went into the back of the store to run a diagnostic he came back with a shocking price quote. The employee said the most of the computer had been damaged with water, and therefore the customer would need to either spend $1,200 (USD $927) to fix it, or for around the same price, get a new one. However, when the same computer was brought to a third party repair shop in New York, it took Luis Rossman at Rossman Repair Group under two-minutes to fix the darkened LCD screen by bending back a pin, and he says he would never have even charged someone for fixing it.

Automatic charge prediction aims to predict appropriate final charges according to the fact descriptions for a given criminal case. Automatic charge pre-diction plays an important role in assisting judges and lawyers to improve the effi-ciency of legal decisions, and thus has received much attention. Nevertheless, most existing works on automatic charge prediction perform adequately on those high-frequency charges but are not yet capable of predicting few-shot charges with lim-ited cases. On the other hand, some works have shown the benefits of capsule net-work, which is a powerful technique. This motivates us to propose a Sequence En-hanced Capsule model, dubbed as SECaps model, to relieve this problem. More specifically, we propose a new basic structure, seq-caps layer, to enhance capsule by taking sequence information in to account. In addition, we construct our SE-Caps model by making use of seq-caps layer. Comparing the state-of-the-art meth-ods, our SECaps model achieves 4.5% and 6.4% F1 promotion in two real-world datasets, Criminal-S and Criminal-L, respectively. The experimental results consis-tently demonstrate the superiorities and competitiveness of our proposed model.

In "How to Make a Racist AI Without Really Trying," Robyn Speer shows how to build a simple sentiment analysis system, using standard, well-known sources for word embeddings (GloVe and word2vec), and a widely used sentiment lexicon. Her program assigns "negative" sentiment to names and phrases associated with minorities, and "positive" sentiment to names and phrases associated with Europeans. Even a sentence like "Let's go get Mexican food" gets a much lower sentiment score than "Let's go get Italian food." That result isn't surprising, nor are Speer's conclusions: if you take a simplistic approach to sentiment analysis, you shouldn't be surprised when you get a program that embodies racist, discriminatory values. It's possible to minimize algorithmic racism (though possibly not eliminate it entirely), and Speer discusses several strategies for doing so.