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Category Archives: AI

Artificial Intelligence Will Change E-Discovery in the Next Three Years

Law Technology Today: “…According to Andrew Ng, Co-Founder of Coursera and Adjunct Professor of Computer Science at Stanford University, artificial intelligence (AI) is the new electricity. “Just as electricity transformed almost everything 100 years ago,” he explains, “today I actually have a hard time thinking of an industry that I don’t think AI will transform in the next several years.” Ng is not alone. Consumers’ lives, tastes, and habits have been profoundly altered by artificial intelligence, with companies like Amazon, Google, Netflix, Spotify, and Uber (to name a few) disrupting well-established industries. Legal technology including e-discovery (and software as a service in general) will not be spared. No less an authority than Gartner estimates that 80% of emerging technologies will be built on a foundation of artificial intelligence by 2021…AI facilitates e-discovery by playing a number of roles in the process: curator, advisor, and orchestrator. Both curator and advisor roles are familiar to e-discovery professionals. AI can recommend documents for deeper review (much like Netflix recommends a new movie or TV show), or it can advise a project manager on scoping custodian lists or collection criteria (as it can suggest a response to a text message or email). But newer AIs can also function as an orchestrator of the entire e-discovery process, learning from past actions and results, and coordinating tasks across multiple channels…”

Textio’s New Tool Will Take the Words Right Out of Your Mouth—and Maybe Improve Them

Fortune: “Words matter, and they often matter in different ways to different people. That’s why, for the past five years, text analytics startup Textio has studied—and helped to augment—the way companies in search of more diverse candidates communicate with prospective hires. Now, the company is launching a new product that takes that mission one step… Continue Reading

How Recommendation Algorithms Run the World

Wired – “…What should you watch? What should you read? What’s news? What’s trending? Wherever you go online, companies have come up with very particular, imperfect ways of answering these questions. Everywhere you look, recommendation engines offer striking examples of how values and judgments become embedded in algorithms and how algorithms can be gamed by… Continue Reading

Law libraries chart a new direction for the future, new report shows

ABA Journal – “Law librarians have recognized rapid technological shifts in their profession and, as a result, plan to focus on new skills for the future, according to data released Tuesday by the American Association of Law Libraries. The inaugural AALL State of the Profession 2019 report—which captures information from academic, government, law firm and… Continue Reading

Aspen Institute – Automation and a Changing Economy

Automation is an important ingredient driving economic growth and progress. “Automation has enabled us to feed a growing population while allowing workers to transition from subsistence farming to new forms of work. Automation helped moved us from a craft system to mass production, from blue-collar to white-collar to “new collar” work—with better work, higher wages, more jobs, and… Continue Reading

How the NYPD is using machine learning to spot crime patterns

Statescoop: Civilian analysts and officers within the New York City Police Department are using a unique computational tool to spot patterns in crime data that is closing cases. A collection of machine-learning models, which the department calls Patternizr, was first deployed in December 2016, but the department only revealed the system last month when its… Continue Reading

AI Needs Better Data, Not Just More Data

Center for Data Innovation: “AI has a data quality problem. In a survey of 179 data scientists, over half identified addressing issues related to data quality as the biggest bottleneck in successful AI projects. Big data is so often improperly formatted, lacking metadata, or “dirty,” meaning incomplete, incorrect, or inconsistent, that data scientists typically spend… Continue Reading

How India’s data labellers are powering the global AI race

The global market for AI and machine-learning relevant data preparation solutions is expected to reach $1.2 billion by the end of 2023, from about $500 million in 2018, as per a report by research firm Cognilytica. “Algorithms today have the ability to absorb more data and, hence, be more accurate. As long as the data… Continue Reading

Harvard and MIT Fund Deepfake Detection, Government Transparency AI Tools

“Harvard and the Massachusetts Institute of Technology joined forces to award $750,000 to seven organizations, including ones that help detect deepfakes and promote open access of government data. Last week, Harvard’s Berkman Klein Center for Internet & Society and the MIT Media Lab announced seven winners of their first “AI and the News: An Open… Continue Reading

Brookings – Robots kill jobs. But they create jobs, too.

“Much of the current discussion on automation is of the “robots-killing-jobs” variety. This alarmism is unsurprising. After all, most research to this point has focused on the introduction of robots into manufacturing, or on computer algorithms that automate routine tasks. These are changes that have replaced, and will continue to replace, jobs that many workers,… Continue Reading

Learning to Navigate in Cities Without a Map

Google DeepMind: “Navigating through unstructured environments is a basic capability of intelligent creatures, and thus is of fundamental interest in the study and development of artificial intelligence. Long-range navigation is a complex cognitive task that relies on developing an internal representation of space, grounded by recognisable landmarks and robust visual processing, that can simultaneously support… Continue Reading