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.
Category «AI»
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 …
Research – Open AI
OpenAI conducts fundamental, long-term research toward the creation of safe AGI. Releases Publications Requests for Research
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 …
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 …
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 …
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 …
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. …
Report – Artificial Intelligence, Automation, and the Economy
Artificial Intelligence, Automation, and the Economy – Executive Office of the President, December 2016 “Accelerating artificial intelligence (AI) capabilities will enable automation of some tasks that have long required human labor. These transformations will open up new opportunities for individuals, the economy, and society, but they have the potential to disrupt the current livelihoods of …
Building Jarvis – Mark Zuckerberg
Building Jarvis, Mark Zuckerberg – Monday, December 19, 2016 “My personal challenge for 2016 was to build a simple AI to run my home — like Jarvis in Iron Man.My goal was to learn about the state of artificial intelligence — where we’re further along than people realize and where we’re still a long ways …
McKinsey Report – The Age of Analytics – Competing in a Data-Driven World
The Age of Analytics – Competing in a Data-Driven World, December 2016 – Executive Summary; Full Report; Appendix (PDF) “Data and analytics capabilities have made a leap forward in recent years. The volume of available data has grown exponentially, more sophisticated algorithms have been developed, and computational power and storage have steadily improved. The convergence …
Data Science Central – Great list of resources: data science, visualization, machine learning, big data
Great list of resources: data science, visualization, machine learning, big data Posted by Vincent Granville on December 17, 2016. “Fantastic resource created by Andrea Motosi. I’ve only included the 5 categories that are the most relevant to our audience, though it has 31 categories total, including a few on distributed systems and Hadoop. Click here to view …
