There is a lot of hype around data, algorithms and artificial intelligence (AI) in many regions of the world. Sometimes it is about futuristic technologies like self driving cars, but there are already everyday applications that impact our communities in negative ways. As feminist, anticapitalist, anti-racist activists, we need to understand the implications and politics of these technologies, because in many cases they exacerbate wealth and power inequalities and they reproduce racial and gender discrimination. Data, algorithms and artificial intelligence are playing more and more of a role in our lives, even if most of the time we might not even be aware of their existence. Their impacts sometimes may be equally invisible.

A legal knowledge graph constructed from court cases, judgments, laws and other legal documents can enable a number of applications like question answering, document similarity, and search. While the use of knowledge graphs for distant supervision in NLP tasks is well researched, using knowledge graphs for downstream graph tasks like node similarity presents challenges in selecting node types and their features. In this demo, we describe our solution for predicting similar nodes in a case graph derived from our legal knowledge graph.

The company and law firm names shown above are generated automatically based on the text of the article. We are improving this feature as we continue to test and develop in beta. We welcome feedback, which you can provide using the feedback tab on the right of the page. July 8, 2021 - The FTC has long exercised its authority to regulate private sector uses of personal information and algorithms that impact consumers. That authority stems from Section 5 of the FTC Act (Section 5), the Fair Credit Reporting Act (FCRA) and Equal Credit Opportunity Act (ECOA).

If you just read the sensational headlines (like the clickbait above), you might get the impression that robots and automation will leave junior associates out of work – like work horses put to pasture by the combustion engine and the industrial revolution. Images come to mind of a post-apocalyptic sci-fi world, like Terminator or Blade Runner, where artificial intelligence has its grip on humanity as we struggle to survive. But, after surviving the COVID pandemic, reasonable minds are beginning to question if there's more to the story. No less reputable research firms than Gartner and Delloite predict the demise of low-level legal work. Their research states, 22 percent of a lawyer's job and 35 percent of a law clerk's job can be automated, which means that while humanity won't be completely overtaken, major businesses and career adjustments aren't far off (see "Is Technology About to Decimate White-Collar Work?").

It is no question that Artificial Intelligence ("AI") technologies have popped up in all aspects of society such as online shopping, music streaming, and social networking. The U.S. Patent and Trademark Office ("USPTO") has even reported that patents which incorporate AI has increased from under 5% in 1980 to over 20% in 2018. Among those organizations that utilize AI is the USPTO itself. The USPTO has recently incorporated AI technology into patent examination, specifically with prior art searching and patent classification. These changes may bring a variety of benefits to patent applicants even though their implementation is behind the scenes of the patent application examination process.

Supervised machine learning, in which machine learning models learn from labeled training data, is only as good as the quality of that data. In a study published in the journal Quantitative Science Studies, researchers at consultancy Webster Pacific and the University of California, San Diego and Berkeley investigate to what extent best practices around data labeling are followed in AI research papers, focusing on human-labeled data. They found that the types of labeled data range widely from paper to paper and that a "plurality" of the studies they surveyed gave no information about who performed labeling -- or where the data came from. While labeled data is usually equated with ground truth, datasets can -- and do -- contain errors. The processes used to build them are inherently error-prone, which becomes problematic when these errors reach test sets, the subsets of datasets researchers use to compare progress. A recent MIT paper identified thousands to millions of mislabeled samples in datasets used to train commercial systems.

You don't want your face to appear in the database of Clearview AI? The company's CEO doesn't seem to care. "All the information we collect is collected legally and it is all publicly available information," Hoan Ton-That said Monday during DW's Global Media Forum (GMF), addressing criticism that the firm's controversial technology infringes on the privacy of hundreds of millions. Privacy activists recently lodged data protection complaints against Clearview AI in five European countries. They argue that the software -- a search engine for faces combing through billions of photos -- violates the UK's and the EU's strict privacy rules.

Chinese tech giant Tencent has joined forces with the nation's National Astronomical Observatories to journey into AI space exploration, CEO Pony Ma told the 2021 World Artificial Intelligence Conference in Shanghai on Thursday. The forward-looking announcement came during a tough week for Chinese tech companies, as Beijing tightened data security and antitrust regulations. Tencent is best known for its WeChat messaging service and very healthy gaming arm, but also operates a decent cloud and increasingly invests in AI through its in-house AI research division YouTu Lab. The company will leverage the latter two capabilities to conduct AI analysis in hopes of finding evidence of pulsars among the 30 million signal images collected each week by China's 500-metre Aperture Spherical Radio Telescope (FAST). Tencent Vice-President Zhang Lijun reckons use of his company's facilities will reduce the time to process a week's worth of images from one year to three days.

It was during an entrepreneurship class at the University of British Columbia 15 years ago that Dan Eisenhardt came up with the idea to make performance-tracking swim goggles similar to what runners and cyclists were starting to use on their wrists. Buildings have a big environmental problem. More than one-third of all greenhouse gas (GHG) emissions come from both the construction of new buildings and the heating and cooling of existing ones, according to the World Building Council. It's why the United Nations Intergovernmental Panel on Climate Change has identified reducing building emissions as critical to meeting the goals of the 2016 Paris climate agreement. Our brains have long relied on machines to help with mathematics – calculators being the most obvious example.

The Animal Legal Defense Fund announced Thursday a reward of $5,000 for information on the person or people who operated a drone that crashed-landed in May into nesting grounds at the Bolsa Chica Ecological Reserve in Huntington Beach. About 3,000 elegant terns -- notable for their orange bills and black crests -- fled the reserve after the crash in mid-May. They left behind 1,500 to 2,000 unsavable eggs, the largest abandonment that scientists who work there could remember. The operators of drones that fly over state wildlife preserves and disturb habitats can face charges for nest destruction and harassment of wildlife, according to Officer Nick Molsberry of the California Department of Fish and Wildlife. Tim Daly, a spokesperson for the agency, said that he had no knowledge of the drone operator in the Bolsa Chica incident having been identified or of the birds having returned to the reserve, which spans more than 1,000 acres.