For law firms, investing in AI technologies seems an obvious strategy, says this report from Herbert Smith Freehills. But the technology is a means to an end. Clients won't pay for AI investments but they do want their legal providers to take a lead in offering progressive services and solutions to recast the value gleaned from their relationships. AI technologies, especially machine learning and natural-language processing, are already impacting the legal sector. Whilst nobody claims that AI will replace the role of lawyers any time soon, a 2016 report1 by The Boston Consulting Group predicts that technological solutions could perform up to 50% of the tasks currently carried out by junior lawyers.

Machine learning algorithms for prediction are increasingly being used in critical decisions affecting human lives. Various fairness formalizations, with no firm consensus yet, are employed to prevent such algorithms from systematically discriminating against people based on certain attributes protected by law. The aim of this article is to survey how fairness is formalized in the machine learning literature for the task of prediction and present these formalizations with their corresponding notions of distributive justice from the social sciences literature. We provide theoretical as well as empirical critiques of these notions from the social sciences literature and explain how these critiques limit the suitability of the corresponding fairness formalizations to certain domains. We also suggest two notions of distributive justice which address some of these critiques and discuss avenues for prospective fairness formalizations.

When you read or hear news stories about the imminent takeover of robots and algorithms that will eliminate jobs for human workers, many times the first examples given are blue-collar jobs like factory workers and taxi drivers. And you may have mentally congratulated yourself because your "professional" job is safe from the threat of being outsourced to computers. But don't feel so safe just yet. More and more, sophisticated algorithms and machine learning are proving that jobs previously thought to be the sole purview of humans can be done -- as well or better -- by machines. Boston Consulting Group has predicted that by 2025 as much as a quarter of jobs currently available will be replaced by either smart software or robots.

The Department of Computer Science at the University of Miami invites applications for an Assistant Professor position starting August 2018. Candidates must possess a Ph.D. in Computer Science or a closely related discipline. The position requires teaching and research expertise in Machine Learning, with emphasis on applications in Data Science. Applicants must have experience storing and analyzing large data sets for applications, including, but not limited to, Biology, Biomedical science, and Medicine. The hire will be expected to teach at both undergraduate and graduate levels, and to develop and maintain an internationally recognized research program.

The big data tsunami bears exciting new profit potential; it also brings with it some daunting challenges, thanks to the General Data Protection Regulation's strict privacy rules, set to be enforced next year. Machine learning is the best weapon businesses have to maximize the bounty of big data and ward off the threats, according to Murthy Mathiprakasam (pictured), director of product marketing at Informatica Corp. "Machine learning up until now has been seen as a nice-to-have, and I think very quickly it's going to become a must-have," Mathiprakasam said. He spoke with John Furrier (@furrier), co-host of theCUBE, SiliconANGLE Media's mobile livestreaming studio, during the recent BigData NYC event in New York. The influx of data from multiple sources is simply too heavy for non-automated methods to handle, according to Mathiprakasam. Unlike many tools on the market, machine learning is able to scale out and grow with data.

Question: I've owned and lived in my very small Los Angeles condo complex for 16 years and am president of the association. Many of my neighbors are established professionals, including a couple of financial advisors across the hall. They have lived in the building for more than 40 years and have no plans to move. But they have serious drinking problems and never-ending blowout fights. At all hours of the day and night they scream at each other and throw and slam stuff inside their unit.

A multiple-exposure portrait of Chinese contemporary artist and human rights activist Ai Weiwei, made on film in Beverly Hills, on the occasion of his new documentary, "Human Flow." A multiple-exposure portrait of Chinese contemporary artist and human rights activist Ai Weiwei, made on film in Beverly Hills, on the occasion of his new documentary, "Human Flow." (Jay L. Clendenin / Los Angeles Times) Ai Weiwei is nothing if not prolific. He spent the better part of 2016 traveling around the globe visiting refugee camps for his new documentary feature film, "Human Flow," debuting in theaters this month. He's made so much art that he currently has work in 12 museum and gallery exhibitions around the world -- eight of them solo shows. In New York, the contemporary artist and social justice activist is installing some 300 works across the city's five boroughs for the Public Art Fund exhibition "Good Fences Make Good Neighbors," opening Oct. 12.

A few weeks back I was having dinner with a friend and his family. While we were chatting at the dinner table, his 9-year-old son came up with a demand to download a new game. His logic was simple – "the game is free (So dad you should not have any objections)." My friend offered a sage advice – If the app is free, then perhaps you are the product! While the kid was not much convinced with that sentence, it made me wonder how humans are progressively transforming from being the beneficiary of technology to becoming a target (or object) of technology. Has the era of "Internet of humans" arrived?

Ai Weiwei may be China's most famous contemporary artist and a prolific social justice activist. But at his core, Ai insists, he is simply an observer. Not to mention a relentless documenter -- of the Chinese communist government, of international human rights violations, of the 40-some cats that roam his Beijing art studio and of the longtime team members who populate his Berlin art studio, a 150-year-old underground beer cellar. Tonight it's the moon that has captured Ai's attention. He arrived a few hours ago at LAX and now strolls languidly across his agent's Beverly Hills office courtyard, repeatedly stopping to take photos of the sky.

In an Oct. 3 Future Tense blog post, Aaron Mak misstated that Uber had asked the judge in the Uber–Waymo lawsuit over self-driving car technology to bar the public from entering the courtroom for crucial portions of the trial. It was Waymo that made the request.