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Category Archives: AI

A DARPA perspective on artificial intelligence

John Launchbury … attempts to demystify AI–what it can do, what it can’t do, and where it is headed. Through a discussion of the “three waves of AI” and the capabilities required for AI to reach its full potential, John provides analytical context to help understand the roles AI already has played, does play now, and could play in the future.

The video is a companion communication for Launchbury’s stack, A DARPA Perspective on Artificial Intelligence.”

Incorporating Ethics into Artificial Intelligence

“This article reviews the reasons scholars hold that driverless cars and many other AI equipped machines must be able to make ethical decisions, and the difficulties this approach faces. It then shows that cars have no moral agency, and that the term ‘autonomous’, commonly applied to these machines, is misleading, and leads to invalid conclusions… Continue Reading

A growing number of people think their job is useless. Time to rethink the meaning of work

World Economic Forum: “A great deal has been written in recent years about the perils of automation. With predicted mass unemployment, declining wages, and increasing inequality, clearly we should all be afraid. By now it’s no longer just the Silicon Valley trend watchers and technoprophets who are apprehensive. In a study that has already racked… Continue Reading

Quartz – Google took your drawings and taught its AI to sketch on its own

Dave Gershgom: “A few months ago, Google made a game called Quick, Draw!, where it supplied you with a word and you’d try to sketch it online. The game then used a neural network, a statistical approximation of how the brain learns, to identify what you were trying to sketch. It was like playing Pictionary… Continue Reading

Artificial Intelligence and Law: 
A Six Part Primer

Artificial Intelligence and Law: 
A Six Part Primer – Professor Daniel Martin Katz,  Chicago Kent College of Law (Updated Version 03.17.17) – PowerPoint Presentation – 271 slides. Continue Reading

Paper – Robots and Jobs: Evidence from US Labor Markets

Robots and Jobs: Evidence from US Labor Markets, Daron Acemoglu, Pascual Restrepo NBER Working Paper No. 23285, Issued in March 2017. “As robots and other computer-assisted technologies take over tasks previously performed by labor, there is increasing concern about the future of jobs and wages. We analyze the effect of the increase in industrial robot… Continue Reading

Guide to ILTA’s Artificial Intelligence Content

Joe Davis, Project Consultant, Prudential Financial, Inc. –  “OK, so Watson won “Jeopardy!” back in 2011. That’s ancient history in technology years.  ILTA provides a wealth of programming about the current state of affairs in Artificial Intelligence that will benefit law firms and corporate legal departments.  In the future, I’m sure we’ll have a bot… Continue Reading

The moral dilemmas of the Fourth Industrial Revolution

World Economic Forum: “Should your driverless car value your life over a pedestrian’s? Should your Fitbit activity be used against you in a court case? Should we allow drones to become the new paparazzi? Can one patent a human gene? Scientists are already struggling with such dilemmas. As we enter the new machine age, we… Continue Reading

Report – Amplifying Human Potential Towards Purposeful Artificial Intelligence

Via Infosys: “For the purposes of this research, AI was defined as an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. Some of the activities that computers with AI are designed for include image and speech recognition, learning, planning and problem-solving. Examples of applied AI technologies… Continue Reading

Learning from Simulated and Unsupervised Images through Adversarial Training

Learning from Simulated and Unsupervised Images through Adversarial Training. Ashish Shrivastava, Tomas Pfister, Oncel Tuzel, Josh Susskind, Wenda Wang, Russ Webb. (Submitted on 22 Dec 2016). Cite as: arXiv:1612.07828 [cs.CV] (or arXiv:1612.07828v1 [cs.CV] for this version) “With recent progress in graphics, it has become more tractable to train models on synthetic images, potentially avoiding the… Continue Reading

Ambrogi – The 10 Most Important Legal Technology Developments of 2016

Via LawSites: “What were 2016’s most important developments in legal technology? Every year since 2013, I’ve posted my picks of the year’s top developments in legal tech (2015, 2014, 2013). As another year wraps up, it’s time to look back at 2016. What follows are my picks for the year’s most important legal technology developments.… Continue Reading