When you think of artificial intelligence (AI), your brain might evoke a gentle robot answering questions accurately. Could that friendly machine disclose information you want to keep private and under your control? For now, AI is a result of human inventiveness: we build, train and influence how AI performs, what we want it to do. In reality, AI is a set of technologies – natural language processing (NLP), machine learning (ML), robotics, etc. – and in many cases it comes down to algorithms, a piece of code with tasks to accomplish. There is an AI-powered algorithm behind most, if not all, digital experiences we have.

LexNLP is an open source Python package focused on natural language processing and machine learning for legal and regulatory text. The package includes functionality to (i) segment documents, (ii) identify key text such as titles and section headings, (iii) extract over eighteen types of structured information like distances and dates, (iv) extract named entities such as companies and geopolitical entities, (v) transform text into features for model training, and (vi) build unsupervised and supervised models such as word embedding or tagging models. LexNLP includes pre-trained models based on thousands of unit tests drawn from real documents available from the SEC EDGAR database as well as various judicial and regulatory proceedings. Keywords: natural language processing, legal, regulatory, machine learning, segmentation, extraction, open source, Python 1. Introduction Over the last two decades, many high-quality, open source packages for natural language processing and machine learning have been released. Researchers and developers can quickly write applications in languages such as Java, Python, and R that stand on the shoulders of comprehensive, well-tested libraries like Stanford NLP ([1]), OpenNLP ([2]), NLTK ([3]), spaCy ([4]), scikit-learn ([5], [6]), Weka ([7]), and gensim ([8]).

A centre for artificial intelligence and public policy is looking to address the unique issues New Zealand will face, and is currently facing, in the era of AI. The centre has been launched in Otago and will explore policy options for managing the introduction of technologies, to maximise their benefits and minimise potential harms. Co-director of the centre, Professor James Maclaurin, said New Zealand's size sets it apart from other countries and it is important to have people acting in an advisory role. "Europe has just passed its general data protection regulations but it is a very big player so if they pass laws Facebook and Google really have to listen to them. "New Zealand is a different environment."

The facial-recognition cameras installed near the bounce houses at the Warehouse, an after-school recreation center in Bloomington, Indiana, are aimed low enough to scan the face of every parent, teenager and toddler who walks in. The center's director, David Weil, learned earlier this year of the surveillance system from a church newsletter, and within six weeks he had bought his own, believing it promised a security breakthrough that was both affordable and cutting-edge. Since last month, the system has logged thousands of visitors' faces – alongside their names, phone numbers and other personal details – and checked them against a regularly updated blacklist of sex offenders and unwanted guests. The system's Israeli developer, Face-Six, also promotes it for use in prisons and drones. "Some parents still think it's kind of '1984,' " said Weil, whose 21-month-old granddaughter is among the scanned.

In a bid to ease tensions over trade, in particular U.S. tariffs on steel and aluminum that infuriated other G7 members, officials were working on language about the international rules-based system that would lead the way to reforming the World Trade Organization, the official said.

When people see machines that respond like humans, or computers that perform feats of strategy and cognition mimicking human ingenuity, they sometimes joke about a future in which humanity will need to accept robot overlords. But buried in the joke is a seed of unease. Science-fiction writing and popular movies, from "2001: A Space Odyssey" (1968) to "Avengers: Age of Ultron" (2015), have speculated about artificial intelligence (AI) that exceeds the expectations of its creators and escapes their control, eventually outcompeting and enslaving humans or targeting them for extinction. Conflict between humans and AI is front and center in AMC's sci-fi series "Humans," which returned for its third season on Tuesday (June 5). In the new episodes, conscious synthetic humans face hostile people who treat them with suspicion, fear and hatred.

This document gives a knowledge-oriented analysis of about 20 interesting Recognizing Textual Entailment (RTE) examples, drawn from the 2005 RTE5 competition test set. The analysis ignores shallow statistical matching techniques between T and H, and rather asks: What would it take to reasonably infer that T implies H? What world knowledge would be needed for this task? Although such knowledge-intensive techniques have not had much success in RTE evaluations, ultimately an intelligent system should be expected to know and deploy this kind of world knowledge required to perform this kind of reasoning. The selected examples are typically ones which our RTE system (called BLUE) got wrong and ones which require world knowledge to answer. In particular, the analysis covers cases where there was near-perfect lexical overlap between T and H, yet the entailment was NO, i.e., examples that most likely all current RTE systems will have got wrong. A nice example is #341 (page 26), that requires inferring from "a river floods" that "a river overflows its banks". Seems it should be easy, right? Enjoy!

The firm was working on the controversial Project Maven program - an artificial intelligence (AI) project that analyses imagery and could be used to enhance the efficiency of drone strikes. Google pledges to not work on weapons after Project Maven backlash Google'ditches contract with US military' after employee revolt Google collected personal data about iPhone users, High Court hears Google quietly removes'don't be evil' preface from code of conduct Google'ditches contract with US military' after employee revolt Google quietly removes'don't be evil' preface from code of conduct This week the tech giant's chief executive Sundar Pichai responded by unveiling his company's "concrete standards" surrounding AI. However, some have suggested that the AI Principles, appear more porous than Mr Pichai's language would seem to suggest. Mr Pichai begins by prefacing the seven-point list of "objectives for AI applications" by saying it is by no means fixed or solid. "We acknowledge that this area is dynamic and evolving," he says, adding that whatever principles are included are subject to change due to the company's "willingness to adapt" its approach.

Google has unveiled a set of principles for ethical AI development and deployment, and announced that it will not allow its AI software to be used in weapons or for "unreasonable surveillance". In a detailed blog post, CEO Sundar Pichai said that Google would not develop technologies that cause, or are likely to cause, harm. "Where there is a material risk of harm, we will proceed only where we believe that the benefits substantially outweigh the risks, and will incorporate appropriate safety constraints," he explained. Google will not allow its technologies to be used in weapons or in "other technologies whose principal purpose or implementation is to cause or directly facilitate injury to people", he said. Also on the no-go list are "technologies that gather or use information for surveillance, violating internationally accepted norms", and those "whose purpose contravenes widely accepted principles of international law and human rights". The move follows widespread internal and external criticism of Google's involvement in Project Maven, the Pentagon's aerial battlefield intelligence programme, which some saw as a step towards the weaponisation of AI.

When people see machines that respond like humans, or computers that perform feats of strategy and cognition mimicking human ingenuity, they sometimes joke about a future in which humanity will need to accept robot overlords. But buried in the joke is a seed of unease. Science-fiction writing and popular movies, from "2001: A Space Odyssey" (1968) to "Avengers: Age of Ultron" (2015), have speculated about artificial intelligence (AI) that exceeds the expectations of its creators and escapes their control, eventually outcompeting and enslaving humans or targeting them for extinction. Conflict between humans and AI is front and center in AMC's sci-fi series "Humans," which returned for its third season on Tuesday (June 5). In the new episodes, conscious synthetic humans face hostile people who treat them with suspicion, fear and hatred.