Extract 20 from the Economics of Artificial Intelligence: an Agenda
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Artificial Intelligence, Automation, and Work
Artificial Intelligence, Automation, and Work The Economics of Artifi cial Intelligence National Bureau of Economic Research Conference Report The Economics of Artifi cial Intelligence: An Agenda Edited by Ajay Agrawal, Joshua Gans, and Avi Goldfarb The University of Chicago Press Chicago and London The University of Chicago Press, Chicago 60637 The University of Chicago Press, Ltd., London © 2019 by the National Bureau of Economic Research, Inc. All rights reserved. No part of this book may be used or reproduced in any manner whatsoever without written permission, except in the case of brief quotations in critical articles and reviews. For more information, contact the University of Chicago Press, 1427 E. 60th St., Chicago, IL 60637. Published 2019 Printed in the United States of America 28 27 26 25 24 23 22 21 20 19 1 2 3 4 5 ISBN-13: 978-0-226-61333-8 (cloth) ISBN-13: 978-0-226-61347-5 (e-book) DOI: https:// doi .org / 10 .7208 / chicago / 9780226613475 .001 .0001 Library of Congress Cataloging-in-Publication Data Names: Agrawal, Ajay, editor. | Gans, Joshua, 1968– editor. | Goldfarb, Avi, editor. Title: The economics of artifi cial intelligence : an agenda / Ajay Agrawal, Joshua Gans, and Avi Goldfarb, editors. Other titles: National Bureau of Economic Research conference report. Description: Chicago ; London : The University of Chicago Press, 2019. | Series: National Bureau of Economic Research conference report | Includes bibliographical references and index. Identifi ers: LCCN 2018037552 | ISBN 9780226613338 (cloth : alk. paper) | ISBN 9780226613475 (ebook) Subjects: LCSH: Artifi cial intelligence—Economic aspects. Classifi cation: LCC TA347.A78 E365 2019 | DDC 338.4/ 70063—dc23 LC record available at https:// lccn .loc .gov / 2018037552 ♾ This paper meets the requirements of ANSI/ NISO Z39.48-1992 (Permanence of Paper). -
EPA Administrator Lisa P. Jackson Schedule
Release 4 - HQ-FOI-01268-12 All emails sent by "Richard Windsor" were sent by EPA Administrator Lisa Jackson 01268-EPA-5928 Noah Dubin/DC/USEPA/US To 01/26/2012 06:15 PM cc bcc Richard Windsor Subject 01/30/2012 thru 02/12/2012 Schedule for Lisa P. Jackson *** Do not copy or forward this information *** EPA Administrator Lisa P. Jackson Schedule 01/26/2012 06:11:57 PM Monday, 1/30/2012 08:45 AM-09:15 AM Daily Briefing Location: Administrator's Office ------------------------------- 09:30 AM-10:30 AM HOLD: WH POST-SOTU Ct: Ryan Robison - 202-564-2856 Location: Administrator's Office ------------------------------- 10:30 AM-11:00 AM Personnel Discussion Ct:Ryan Robison - 202-564-2856 Staff: Diane Thompson, Jose Lozano (OA) Paul Anastas (ORD) Optional: Bob Perciasepe (OA) Location: Administrator's Office ------------------------------- 11:00 AM-09:00 PM Out of Office See EA or Jose Location: NYC ------------------------------- 01:00 PM-02:00 PM FYI: Senior Staff Location: Bullet Room ------------------------------- Tuesday, 1/31/2012 09:30 AM-10:30 AM HOLD: WH POST-SOTU Ct: Ryan Robison - 202-564-2856 Location: Administrator's Office ------------------------------- 10:30 AM-10:45 AM Depart for White House Location: Ariel Rios ------------------------------- 10:45 AM-12:15 PM Cabinet Meeting Ct: Liz Ashwell 564.1008 Full Cabinet Meeting w/ POTUS and VPOTUS Location: Cabinet Room, White House ------------------------------- 12:15 PM-12:30 PM Depart for Ariel Rios Release 4 - HQ-FOI-01268-12 All emails sent by "Richard Windsor" were sent by EPA Administrator Lisa Jackson Location: White House ------------------------------- 12:45 PM-12:50 PM Drop-By Meeting with Alaska Eskimo Whaling Commission Ct: Earl Comstock - 202-255-0273 **AA DePass will be lead on this meeting, the Administrator will drop by if her schedule permits **This meeting will last from 12:45 to 1:15 -Mr. -
Peter Blair Henry Class of 1987
H O N O R E E Peter Blair Henry Class of 1987 PETER BLAIR HENRY is Dean of New York University’s Stern School of Business and author of TURNAROUND: Third World Lessons for First World Growth (Basic Books, 2013). Named Dean two days before his 40th birthday, Henry came to Stern from the Stanford Graduate School of Business, where he was Konosuke Matsushita Professor of International Economics. In 2008, Henry led the Presidential Transition Team’s review of the IMF and World Bank. In June 2009, President Obama appointed Henry to the President’s Commission on White House Fellowships. A Board member of the National Bureau of Economic Research, the Council on Foreign Relations, and Kraft Foods Group, Henry was awarded the Foreign Policy Association Medal in February 2015. Overturning con- ventional wisdom on the topics of debt relief, international capital flows, and the role of institutions in economic growth, Henry’s research has in- spired segments on NPR’s Planet Money and This American Life; Henry has also contributed articles to the Financial Times, Fortune, and Ozy.com, among others. Henry’s first lesson in international economics actually came at age eight, when his family moved from Jamaica to Wilmette, triggering his life- long interest in variations in standards of living across the globe. At New Trier, Henry was a Senior Helper, a National Merit Finalist, co-captain of the basketball team, and a member of the Trevians’ starting lineup in three varsity sports. Henry received his Ph.D. in economics from MIT and Bachelor’s de- grees from Oxford University, where he was a Rhodes Scholar and a full blue in basketball, and the University of North Carolina, where he was a Morehead Scholar, Phi Beta Kappa, a reserve wide receiver on the football team, and a finalist in the 1991 campus-wide slam dunk competition. -
Machine Learning Is Driving an Innovation Wave in Saas Software
Machine Learning is Driving an Innovation Wave in SaaS Software By Jeff Houston, CFA [email protected] | 512.364.2258 SaaS software vendors are enhancing their soluti ons with machine learning (ML) algorithms. ML is the ability of a computer to either automate or recommend appropriate actions by applying probability to data with a feedback loop that enables learning. We view ML as a subset of artificial intelligence (AI), which represents a broad collection of tools that include/leverage ML, such as natural language processing (NLP), self-driving cars, and robotics as well as some that are tangent to ML, such as logical rule-based algorithms. Although there have been multiple “AI Winters” since the 1950s where hype cycles were followed by a dearth of funding, ML is now an enduring innovation driver, in our opinion, due in part to the increasing ubiquity of affordable cloud-based processing power, data storage—we expect the pace of breakthroughs to accelerate. automation, customer support, marketing, and human resources) through both organic and M&A These innovations will make it easier for companies initiatives. As for vertical-specific solutions, we think to benefit beyond what is available with traditional that a new crop of vendors will embrace ML and business intelligence (BI) solutions, like IBM/ achieve billion-dollar valuations. VCs are making big Cognos and Tableau, that simply describe what bets that these hypotheses will come to fruition as happened in the past. New ML solutions are demonstrated by the $5B they poured into 550 amplifying intelligence while enabling consistent and startups using AI as a core part of their solution in better-informed reasoning, behaving as thought 20162. -
The Work Ahead Machines, Skills, and U.S
Independent Task Force Report No. 76 The Work Ahead Machines, Skills, and U.S. Leadership in the Twenty-First Century John Engler and Penny Pritzker, Chairs Edward Alden, Project Director Laura Taylor-Kale, Deputy Project Director ENDNOTES 1. Bureau of Labor Statistics, “Labor Force Statistics From Current Population Survey: Databases, Tables and Calculators by Subject,” February 16, 2018, http://data.bls.gov /timeseries/LNS11300000. See also Arne L. Kalleberg and Till M. von Wachter, “The U.S. Labor Market During and After the Great Recession: Continuities and Transformations,” RSF: The Russell Sage Foundation Journal of the Social Sciences 3, no. 3 (April 2017): 1–19, http://rsfjournal.org/doi/full/10.7758/RSF.2017.3.3.01; Sandra E. Black, Diane Whitmore Schanzenbach, and Audrey Breitwieser, “The Recent Decline in Women’s Labor Force Participation,” Hamilton Project, October 2017, http:// hamiltonproject.org/assets/files/decline_womens_labor_force_participation_ BlackSchanzenbach.pdf. While labor force participation did fall more steeply during the recession, there has been a reasonably steady decline since 2000 driven by rising retirements and declining work among prime-age men. See Alan B. Krueger, “Where Have All the Workers Gone? An Inquiry Into the Decline in the U.S. Labor Force Participation Rate,” Brookings Papers on Economic Activity, September 2017, http:// brookings.edu/bpea-articles/where-have-all-the-workers-gone-an-inquiry-into-the -decline-of-the-u-s-labor-force-participation-rate. 2. Annie Lowrey, “The Great Recession Is Still With Us,” Atlantic, December 1, 2017, http://theatlantic.com/business/archive/2017/12/great-recession-still-with-us/547268. 3. -
Factor Returns, Institutions, and Geography: a View from Trade
Factor Returns, Institutions, and Geography: A View From Trade Scott L. Baier Clemson University and Federal Reserve Bank of Atlanta Gerald P. Dwyer, Jr. Federal Reserve Bank of Atlanta Robert Tamura Clemson University and Federal Reserve Bank of Atlanta January 2005 Abstract We show that estimated productivities of labor and capital which rationalize trade flows across countries are related to total factor productivities which rationalize output differences across countries. We present evidence that these productivies from trade flows are related to the institutions and geography across countries. Protection of property rights is the dominant influence on both labor and capital productivity, with geography less important and democracy even less important. We also present preliminary evidence that protection of property rights has similar effects on workers with only primary education and those with more education. 1 Acknowledgement 1 We thank William Dougan, Stanley Engerman, Casey Mulligan, Rowena Pecchenino, Dani Rodrik, Thomas R. Saving, Robert Tol- lison and Daniel Trefler for comments on earlier drafts of this paper. Lin- daMundy provided editorial assistance. An earlier version of this paper was presented at the Villa Mondragone International Economic Seminar. Baier appreciates financial support from the BB&T Bank and the Center for Interna- tionl Trade at Clemson University. The views expressed here are the authors’ and not necessarily those of the Federal Reserve Bank of Atlanta or the Federal Reserve System. Any remaining errors are the authors’ responsibility. INTRODUCTION Why was the typical manufacturing worker paid roughly ten times more in the United States than in the Philippines from 1995 to 1999? No doubt part of this difference is due to the quantity of capital per worker, but simple calculations show that it is extremely unlikely that capital and other factors of production account for all of the difference. -
1 Topics in International Economics (ECO2304H
Topics in International Economics (ECO2304H) Spring 2017 Instructor: Daniel Trefler Class Website: http://www.rotman.utoronto.ca/~dtrefler/files/Course_Materials.htm Office Hours: Please see me immediately after the class or the tutorial. I am also happy to meet you by appointment in my office (Rotman 8064 – South Building) e-mail: [email protected] phone: 416 946-7945 Prerequisite: ECO2304 has ECO2300 as a pre-requisite. The course is very suitable for both M.A. and Ph.D. students. Course Description: This course covers key topics of current interest (both to researchers and policy/media types). Topics covered include the new theories of (1) firm-level comparative advantage, (2) offshore outsourcing and multinational activities, and (3) the impact of international trade on domestic institutions. These theories and their empirical support will be carefully examined. Each lecture will provide in-depth coverage of a key recent contribution; students will be expected to do the readings in advance. The educational goals of the course are: (1) to learn the above material, (2) to develop an ease with reading quickly through academic articles in the field, (3) to develop a clearer sense of what constitutes a good research topic, and (4) to bridge the gap between academic and policy work. Trefler’s teaching style is somewhat idiosyncratic. I teach through repetition of difficult concepts. Each week a key article will be assigned. Students are required to (1) answer a problem set dealing with mathematical preliminaries, (2) briefly read the article in advance of the lecture and submit a one-page summary, (3) attend a lecture about the article, (4) attend a tutorial to review the more technical aspects of the article, and (5) present to the class a related article that uses a similar framework. -
Administration of Barack Obama, 2014 Remarks on the Nomination Of
Administration of Barack Obama, 2014 Remarks on the Nomination of Maria Contreras-Sweet To Be Administrator of the Small Business Administration January 15, 2014 Please have a seat. Thank you so much. Well, welcome to the White House. And I am pleased to be joined by many of the people on the frontlines when it comes to creating jobs and new opportunities: America's small-business owners. And I want to thank all of them for the hard work and the sacrifice of these entrepreneurs, as well as the workers and the families across the country that have helped us pull ourselves out of one of the worst recessions in our history. Now what we're seeing is businesses having created more than 8 million new jobs since we hit bottom. Manufacturing is growing, led by a booming auto industry. Our investments have helped bring about new technologies, more affordable energy, and are slowing health care costs, all of which are making America even more attractive for investors. And we're starting to see a lot of the jobs that had left our shores in manufacturing, for example, starting to come back, because we put ourselves in a much more competitive position. And so all the pieces are there to bring back even more new jobs to America this year, but it's not going to happen by itself. This has to be a year of action. We've got to keep our economy growing. We've got to make sure that our working families are sharing in growth and increasing success. -
Peter Blair Henry
June 2008 PETER BLAIR HENRY Stanford University Graduate School of Business, Stanford, CA 94305-5015 (650) 723-0905 (tel)/ (650) 725-7979 (fax)/ [email protected] EDUCATION Massachusetts Institute of Technology, Ph.D. in Economics, 1997, Doctoral Dissertation: Essays on International Finance and Macroeconomics: The Effects of Liberalization and Reform on LDC Stock Prices and Investment Oxford University, BA in Mathematics, 1993 (Rhodes Scholar; Full Blue: Basketball vs. Cambridge) University of North Carolina at Chapel Hill, BA with Distinction and Highest Honors in Economics, 1991 (Morehead Scholar; National Merit Scholar; Phi Beta Kappa; Wide receiver on football team) ACADEMIC POSITIONS Konosuke Matsushita Professor of International Economics, April 2008- Professor of Economics, July 2007-March 2008 Professor of Economics (by courtesy), School of Humanities and Sciences, September 2007- Associate Professor of Economics (with tenure), July 2005- June 2007 Associate Professor of Economics, July 2002- June 2005 Assistant Professor of Economics, September 1997- June 2002 ACADEMIC HONORS AND FELLOWSHIPS Stanford Fellow, 2007-2009 Senior Fellow, Stanford Institute for Economic Policy Research, 2007- Senior Fellow, Stanford Center for International Development, 2007- Senior Fellow, Freeman Spogli Institute for International Studies, 2006- Associate Director, Center for Global Business and the Economy, Stanford GSB, 2005- Stanford University, Black Community Services Center Mentor Award, 2004 John A. and Cynthia Fry Gunn Faculty Scholar, 2003- Junior Fellow, Stanford Center for International Development, 2002-03 MBA Class of 1969 Faculty Scholar, 1999-2000 National Fellow, Hoover Institution, 2000-01 National Science Foundation, Faculty Early CAREER Development Award, 2001-2006 National Science Foundation Graduate Fellowship (Minority), 1993-96 Ford Foundation Graduate Fellowship, 1996-97 National Economic Association Dissertation Prize, 1999 Rhodes Scholar, 1991-1993 Marshall Scholar-Elect, 1990 Walter S. -
Market Update January 2020 a Machine Learning & Artificial Intelligence Market Update
PRIVATE & CONFIDENTIAL Market Update January 2020 A Machine Learning & Artificial Intelligence Market Update B Canaccord Genuity Overview / Update Artificial Intelligence Machine Learning f (x) Deep Learning Page 1 Driven by your success. Machine Learning (“ML”) and Artificial Intelligence (“AI”) continue to generate strong levels of attention and excitement in the marketplace, based on the promise of self-correcting algorithms driving increased intelligence and automation across a number of mission critical applications and use cases When ML & AI were first introduced as concepts that would impact the IT landscape, most companies in the sector were limited to collections of data scientists or technologies in search of use cases – today there are defined categories emerging and companies with real traction in ML/AI, as well as a growing set of tangible use cases While there is real innovation and traction occurring in ML/AI, in some cases it is still difficult to understand where certain companies truly play in the ML ecosystem and the unique value that each brings to the table – this presentation aims to provide a framework to understand the ML landscape First we look to define and better understand ML/AI technology, both the underlying algorithms as well as data science platforms, operational frameworks and advanced analytics solutions which leverage and / or optimize core ML/AI technologies – these are also described as “AI Infrastructure” From a category perspective, we focus primarily on horizontal platforms which can provide data -
Annual Report M Ission
2012 ANNUAL REPORT M ISSION The New England Council is an alliance of businesses, academic and health institutions, and public and private organizations throughout New England formed to promote economic growth and a high quality of life in the New England region. The New England Council is a leading voice on the issues that shape the region’s economy and quality of life. The Council focuses on key industries that drive the region’s economic growth including education, energy, transportation, technology and innovation, healthcare and financial services. THE NEW ENGLAND COUNCIL TABLE OF CONTENTS 2012 4 President’s Letter 5 Chairman’s Letter ADVOCACY & INITIATIVES 6 Overview 6 Defense 8 Energy & Environment 10 Financial Services 12 Healthcare 13 Higher Education 15 New England Economic Partnership 16 Smart Infrastructure Report 17 Technology 19 Transportation EVENTS 20 Annual Dinner 22 Annual Spring Event 24 Congressional Roundtable Series 26 Featured Events 27 Governors’ Forums 28 Politics & Eggs Series ABOUT THE COUNCIL 29 DC Dialogue 30 Board of Directors 34 New Members 3 THE NEW ENGLAND COUNCIL 2012 PRESIDENT’S LETTER DEAR NEW ENGLAND COUNCIL MEMBER: As I look back at 2012, I am once again truly astounded at how much The New England Council has accomplished during the past year. Over the course of my 16 years at the helm of The New England Council, it has been remarkable to watch the organization evolve and grow as each year passes. When people ask me how we continue to thrive—particularly during the challenging economic situation in recent years—I tell them that it is because of our members. -
Shikhar-Cv.Pdf
SHIKHAR SHARMA [email protected] Senior Research SDE, Microsoft Research http://www.shikharsharma.com/ RESEARCH INTERESTS • Deep Learning • Machine Learning • Recurrent Neural Networks • Adversarial Learning • Computer Vision • Task-oriented Dialogue RESEARCH STATEMENT SUMMARY My long-term research interest lies in advancing the capabilities of current artificial intelligence systems. I am highly interested in neural network architectures augmented with memory and attention mechanisms. My recent research deals with image synthesis and visually-grounded multi-modal dialogue systems, which stand to gain significant advantage from using memory and attention similar to how we as humans do. Prior to this, I have worked on visual attention models for action recognition and video description. I have broad interests in deep learning research in natural language processing and computer vision, which I believe are important research areas on the path to true artificial intelligence. EDUCATION University of Toronto Aug'14 - Feb'16 M.Sc. in Computer Science with the Deep Learning and Machine Learning group GPA: 3.83/4 • Thesis title: Action Recognition and Video Description using Visual Attention • Thesis supervisor: Prof. Ruslan Salakhutdinov Indian Institute of Technology (IIT), Kanpur Jul'10 - Jun'14 B.Tech. in Computer Science GPA: 9.3/10 • Thesis title: Speech Recognition using Deep Belief Networks and Hidden Markov Models • Thesis supervisor: Prof. Harish Karnick PUBLICATIONS yequal contribution Theses - Shikhar Sharma. 2016. \Action Recognition and Video Description using Visual Attention." Masters Thesis, University of Toronto Journal papers - Ashesh Jain, Shikhar Sharma, Thorsten Joachims, Ashutosh Saxena. 2015. \Learning preferences for ma- nipulation tasks from online coactive feedback." The International Journal of Robotics Research (IJRR), 34, 1296-1313 Conference and Workshop papers - Alaaeldin El-Nouby, Shikhar Sharma, Hannes Schulz, Devon Hjelm, Layla El Asri, Samira Ebrahimi Kahou, Yoshua Bengio, Graham W.