Artificial Intelligence: Societal and Ethical Implications

Total Page:16

File Type:pdf, Size:1020Kb

Artificial Intelligence: Societal and Ethical Implications ARTIFICIAL INTELLIGENCE: SOCIETAL AND ETHICAL IMPLICATIONS HEARING BEFORE THE COMMITTEE ON SCIENCE, SPACE, AND TECHNOLOGY HOUSE OF REPRESENTATIVES ONE HUNDRED SIXTEENTH CONGRESS FIRST SESSION JUNE 26, 2019 Serial No. 116–32 Printed for the use of the Committee on Science, Space, and Technology ( Available via the World Wide Web: http://science.house.gov U.S. GOVERNMENT PUBLISHING OFFICE 36–796PDF WASHINGTON : 2019 COMMITTEE ON SCIENCE, SPACE, AND TECHNOLOGY HON. EDDIE BERNICE JOHNSON, Texas, Chairwoman ZOE LOFGREN, California FRANK D. LUCAS, Oklahoma, DANIEL LIPINSKI, Illinois Ranking Member SUZANNE BONAMICI, Oregon MO BROOKS, Alabama AMI BERA, California, BILL POSEY, Florida Vice Chair RANDY WEBER, Texas CONOR LAMB, Pennsylvania BRIAN BABIN, Texas LIZZIE FLETCHER, Texas ANDY BIGGS, Arizona HALEY STEVENS, Michigan ROGER MARSHALL, Kansas KENDRA HORN, Oklahoma RALPH NORMAN, South Carolina MIKIE SHERRILL, New Jersey MICHAEL CLOUD, Texas BRAD SHERMAN, California TROY BALDERSON, Ohio STEVE COHEN, Tennessee PETE OLSON, Texas JERRY MCNERNEY, California ANTHONY GONZALEZ, Ohio ED PERLMUTTER, Colorado MICHAEL WALTZ, Florida PAUL TONKO, New York JIM BAIRD, Indiana BILL FOSTER, Illinois JAIME HERRERA BEUTLER, Washington DON BEYER, Virginia JENNIFFER GONZA´ LEZ-COLO´ N, Puerto CHARLIE CRIST, Florida Rico SEAN CASTEN, Illinois VACANCY KATIE HILL, California BEN MCADAMS, Utah JENNIFER WEXTON, Virginia (II) CONTENTS June 26, 2019 Page Hearing Charter ...................................................................................................... 2 Opening Statements Statement by Representative Eddie Bernice Johnson, Chairwoman, Com- mittee on Science, Space, and Technology, U.S. House of Representatives .... 8 Written statement ............................................................................................ 9 Statement by Representative Jim Baird, Committee on Science, Space, and Technology, U.S. House of Representatives ....................................................... 9 Written statement ............................................................................................ 11 Written statement by Representative Frank Lucas, Ranking Member, Com- mittee on Science, Space, and Technology, U.S. House of Representatives .... 11 Witnesses: Ms. Meredith Whittaker, Co-Founder, AI Now Institute, New York University Oral Statement ................................................................................................. 13 Written Statement ............................................................................................ 16 Mr. Jack Clark, Policy Director, OpenAI Oral Statement ................................................................................................. 32 Written Statement ............................................................................................ 34 Mx. Joy Buolamwini, Founder, Algorithmic Justice League Oral Statement ................................................................................................. 45 Written Statement ............................................................................................ 47 Dr. Georgia Tourassi, Director, Oak Ridge National Lab-Health Data Sciences Institute Oral Statement ................................................................................................. 74 Written Statement ............................................................................................ 76 Discussion ................................................................................................................. 92 Appendix I: Answers to Post-Hearing Questions Ms. Meredith Whittaker, Co-Founder, AI Now Institute, New York Univer- sity ......................................................................................................................... 120 Mr. Jack Clark, Policy Director, OpenAI ............................................................... 123 Mx. Joy Buolamwini, Founder, Algorithmic Justice League ............................... 128 Dr. Georgia Tourassi, Director, Oak Ridge National Lab-Health Data Sciences Institute ................................................................................................................ 135 Appendix II: Additional Material for the Record H. Res. 153 submitted by Representative Haley Stevens, Chairwoman, Sub- committee on Research and Technology, Committee on Science, Space, and Technology, U.S. House of Representatives ....................................................... 140 (III) ARTIFICIAL INTELLIGENCE: SOCIETAL AND ETHICAL IMPLICATIONS WEDNESDAY, JUNE 26, 2019 HOUSE OF REPRESENTATIVES, COMMITTEE ON SCIENCE, SPACE, AND TECHNOLOGY, Washington, D.C. The Committee met, pursuant to notice, at 10 a.m., in room 2318 of the Rayburn House Office Building, Hon. Eddie Bernice Johnson [Chairwoman of the Committee] presiding. (1) 2 3 4 5 6 7 8 Chairwoman JOHNSON. The hearing will come to order. Without objection, the Chair is authorized to declare recess at any time. Good morning, and welcome to our distinguished panel of wit- nesses. We are here today to learn about the societal impacts and ethical implications of a technology that is rapidly changing our lives, namely, artificial intelligence. From friendly robot compan- ions to hostile terminators, artificial intelligence (AI) has appeared in films and sparked our imagination for many decades. Today, it is no longer a futuristic idea, at least not artificial intel- ligence designed for a specific task. Recent advances in computing power and increases in data production and collection have enabled artificial-intelligence-driven technology to be used in a growing number of sectors and applications, including in ways we may not realize. It is routinely used to personalize advertisements when we browse the internet. It is also being used to determine who gets hired for a job or what kinds of student essays deserve a higher score. The artificial intelligence systems can be a powerful tool for good, but they also carry risk. The systems have been shown to exhibit gender discrimination when displaying job ads, racial discrimina- tion in predictive policing, and socioeconomic discrimination when selecting zip codes to offer commercial products or services. The systems do not have an agenda, but the humans behind the algorithms can unwittingly introduce their personal biases and per- spectives into the design and use of artificial intelligence. The algo- rithms are then trained with data that is biased in ways both known and unknown. In addition to resulting in discriminatory de- cisionmaking, biases in design and training of algorithms can also cause artificial intelligence to fail in other ways, for example, per- forming worse than clinicians in medical diagnostics. We know that these risks exist. What we do not fully understand is how to miti- gate them. We are also struggling with how to protect society against in- tended misuse and abuse. There has been a proliferation of general artificial intelligence ethics principles by companies and nations alike. The United States recently endorsed an international set of principles for the responsible development. However, the hard work is in the translation of these principles into concrete, effective ac- tion. Ethics must be integrated into the earliest stages of the artifi- cial intelligence research and education, and continue to be prioritized at every stage of design and deployment. Federal agencies have been investing in this technology for years. The White House recently issued an executive order on Maintaining American Leadership in artificial intelligence and up- dated the 2016 National Artificial Intelligence R&D Strategic Plan. These are important steps. However, I also have concerns. First, to actually achieve leadership, we need to be willing to invest. Second, while few individual agencies are making ethics a priority, the Ad- ministration’s executive order and strategic plan fall short in that regard. When mentioning it at all, they approach ethics as an add- on rather than an integral component of all artificial intelligence R&D (research and development). From improving healthcare, transportation, and education, to helping to solve poverty and improving climate resilience, artificial 9 intelligence has vast potential to advance the public good. However, this is a technology that will transcend national boundaries, and if the U.S. does not address the ethics seriously and thoughtfully, we will lose the opportunity to become a leader in setting the inter- national norms and standards in the coming decades. Leadership is not just about advancing the technology; it is about advancing it responsibly. I look forward to hearing the insights and recommendation from today’s expert panel on how the United States can lead in the eth- ical development of artificial intelligence. [The prepared statement of Chairwoman Johnson follows:] Good morning, and welcome to our distinguished panel of witnesses. We are here today to learn about the societal impacts and ethical implications of a technology that is rapidly changing our lives, namely, Artificial intelligence. From friendly robot companions to hostile terminators, AI has appeared in films and sparked our imagination for many decades. Today, AI is no longer a futuristic idea, at least not AI designed for specific tasks. Recent advances in computing power and increases in data production and collection have enabled AI-driven tech- nology to be used in a growing number of sectors and applications, including
Recommended publications
  • Apple Joins Group Devoted to Keeping AI Nice 27 January 2017
    Apple joins group devoted to keeping AI nice 27 January 2017 control and end up being detrimental to society. The companies "will conduct research, recommend best practices, and publish research under an open license in areas such as ethics, fairness, and inclusivity; transparency, privacy, and interoperability; collaboration between people and AI systems; and the trustworthiness, reliability, and robustness of the technology," according to a statement. Internet giants have been investing heavily in creating software to help machines think more like people, ideally acting as virtual assistants who get to know users and perhaps even anticipate needs. Apple is the latest tech giant to join the non-profit "Partnership on AI," which will have its inaugural board SpaceX founder and Tesla chief executive Elon meeting in San Francisco on February 3 Musk in 2015 took part in creating nonprofit research company OpenAI devoted to developing artificial intelligence that will help people and not hurt them. A technology industry alliance devoted to making sure smart machines don't turn against humanity Musk found himself in the middle of a technology said Friday that Apple has signed on and will have world controversy by holding firm that AI could turn a seat on the board. on humanity and be its ruin instead of a salvation. Microsoft, Amazon, Google, Facebook, IBM, and A concern expressed by Musk was that highly Google-owned British AI firm DeepMind last year advanced artificial intelligence would be left to its established the non-profit organization, called own devices, or in the hands of a few people, to the "Partnership on AI," which will have its inaugural detriment of civilization as a whole.
    [Show full text]
  • Redesigning AI for Shared Prosperity: an Agenda Executive Summary
    Redesigning AI for Shared Prosperity: an Agenda Executive Summary Artificial intelligence is expected to contribute trillions of dollars to the global GDP over the coming decade,1 but these gains may not occur equitably or be shared widely. Today, many communities around the world face persistent underemployment, driven in part by technological advances that have divided workers into cohorts of haves and have nots. If advances in workplace AI continue on their current trajectory, they could accelerate this economic exclusion. Alternatively, as this Agenda outlines, advances in AI could expand access to good jobs for all workers, regardless of their formal education, geographic location, race, ethnicity, gender, or ability. To put AI on this alternate path, Redesigning AI for Shared Prosperity: An Agenda proposes the creation of shared prosperity targets: verifiable criteria the AI industry must meet to support the future of workers. Crucial to the success of these targets will be thoughtful design and proper alignment with the needs of key stakeholders. In service of that, this Agenda compiles critical questions that must be answered for these targets to be implementable and effective. This living document is not a final set of questions, nor a comprehensive literature review of the issue areas covered. Instead, it is an open invitation to contribute answers as well as new questions that will help make AI advancement more likely to support inclusive economic progress and respect human rights. The primary way that people around the world support themselves is through waged work. Consequently, the creation of AI systems that lower labor demand will have a seismic effect, reducing employment and/ or wages while weakening the worker bargaining power that contributes to job quality and security.
    [Show full text]
  • Overview of Artificial Intelligence
    Updated October 24, 2017 Overview of Artificial Intelligence The use of artificial intelligence (AI) is growing across a Currently, AI technologies are highly tailored to particular wide range of sectors. Stakeholders and policymakers have applications or tasks, known as narrow (or weak) AI. In called for careful consideration of strategies to influence its contrast, general (or strong) AI refers to intelligent behavior growth, reap predicted benefits, and mitigate potential risks. across a range of cognitive tasks, a capability which is This document provides an overview of AI technologies unlikely to occur for decades, according to most analysts. and applications, recent private and public sector activities, Some researchers also use the term “augmented and selected issues of interest to Congress. intelligence” to capture AI’s various applications in physical and connected systems, such as robotics and the AI Technologies and Applications Internet of Things, and to focus on using AI technologies to Though definitions vary, AI can generally be thought of as enhance human activities rather than to replace them. computerized systems that work and react in ways commonly thought to require intelligence, such as solving In describing the course of AI development, the Defense complex problems in real-world situations. According to Advanced Research Projects Agency (DARPA) has the Association for the Advancement of Artificial identified three “waves.” The first wave focused on Intelligence (AAAI), researchers broadly seek to handcrafted knowledge that allowed for system-enabled understand “the mechanisms underlying thought and reasoning in limited situations, though lacking the ability to intelligent behavior and their embodiment in machines.” learn or address uncertainty, as with many rule-based systems from the 1980s.
    [Show full text]
  • Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims
    Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims∗ Miles Brundage1†, Shahar Avin3,2†, Jasmine Wang4,29†‡, Haydn Belfield3,2†, Gretchen Krueger1†, Gillian Hadfield1,5,30, Heidy Khlaaf6, Jingying Yang7, Helen Toner8, Ruth Fong9, Tegan Maharaj4,28, Pang Wei Koh10, Sara Hooker11, Jade Leung12, Andrew Trask9, Emma Bluemke9, Jonathan Lebensold4,29, Cullen O’Keefe1, Mark Koren13, Théo Ryffel14, JB Rubinovitz15, Tamay Besiroglu16, Federica Carugati17, Jack Clark1, Peter Eckersley7, Sarah de Haas18, Maritza Johnson18, Ben Laurie18, Alex Ingerman18, Igor Krawczuk19, Amanda Askell1, Rosario Cammarota20, Andrew Lohn21, David Krueger4,27, Charlotte Stix22, Peter Henderson10, Logan Graham9, Carina Prunkl12, Bianca Martin1, Elizabeth Seger16, Noa Zilberman9, Seán Ó hÉigeartaigh2,3, Frens Kroeger23, Girish Sastry1, Rebecca Kagan8, Adrian Weller16,24, Brian Tse12,7, Elizabeth Barnes1, Allan Dafoe12,9, Paul Scharre25, Ariel Herbert-Voss1, Martijn Rasser25, Shagun Sodhani4,27, Carrick Flynn8, Thomas Krendl Gilbert26, Lisa Dyer7, Saif Khan8, Yoshua Bengio4,27, Markus Anderljung12 1OpenAI, 2Leverhulme Centre for the Future of Intelligence, 3Centre for the Study of Existential Risk, 4Mila, 5University of Toronto, 6Adelard, 7Partnership on AI, 8Center for Security and Emerging Technology, 9University of Oxford, 10Stanford University, 11Google Brain, 12Future of Humanity Institute, 13Stanford Centre for AI Safety, 14École Normale Supérieure (Paris), 15Remedy.AI, 16University of Cambridge, 17Center for Advanced Study in the Behavioral Sciences,18Google Research, 19École Polytechnique Fédérale de Lausanne, 20Intel, 21RAND Corporation, 22Eindhoven University of Technology, 23Coventry University, 24Alan Turing Institute, 25Center for a New American Security, 26University of California, Berkeley, 27University of Montreal, 28Montreal Polytechnic, 29McGill University, 30Schwartz Reisman Institute for Technology and Society arXiv:2004.07213v2 [cs.CY] 20 Apr 2020 April 2020 ∗Listed authors are those who contributed substantive ideas and/or work to this report.
    [Show full text]
  • Artificial Intelligence the Next Digital Frontier?
    ARTIFICIAL INTELLIGENCE THE NEXT DIGITAL FRONTIER? DISCUSSION PAPER JUNE 2017 Jacques Bughin | Brussels Eric Hazan | Paris Sree Ramaswamy | Washington, DC Michael Chui | San Francisco Tera Allas | London Peter Dahlström | London Nicolaus Henke | London Monica Trench | London Since its founding in 1990, the McKinsey Global Institute (MGI) has sought to develop a deeper understanding of the evolving global economy. As the business and economics research arm of McKinsey & Company, MGI aims to provide leaders in the commercial, public, and social sectors with the facts and insights on which to base management and policy decisions. The Lauder Institute at the University of Pennsylvania ranked MGI the world’s number-one private-sector think tank in its 2016 Global Think Tank Index for the second consecutive year. MGI research combines the disciplines of economics and management, employing the analytical tools of economics with the insights of business leaders. Our “micro-to-macro” methodology examines microeconomic industry trends to better understand the broad macroeconomic forces affecting business strategy and public policy. MGI’s in-depth reports have covered more than 20 countries and 30 industries. Current research focuses on six themes: productivity and growth, natural resources, labor markets, the evolution of global financial markets, the economic impact of technology and innovation, and urbanization. Recent reports have assessed the economic benefits of tackling gender inequality, a new era of global competition, Chinese innovation, and digital globalization. MGI is led by four McKinsey and Company senior partners: Jacques Bughin, James Manyika, Jonathan Woetzel, and Frank Mattern, MGI’s chairman. Michael Chui, Susan Lund, Anu Madgavkar, Sree Ramaswamy, and Jaana Remes serve as MGI partners.
    [Show full text]
  • Partnership on Artificial Intelligence” Formed by Google, Facebook, Amazon, Ibm, Microsoft and Apple
    УДК 004.8 Zelinska Dariia “PARTNERSHIP ON ARTIFICIAL INTELLIGENCE” FORMED BY GOOGLE, FACEBOOK, AMAZON, IBM, MICROSOFT AND APPLE Vinnitsa National Technical University Анотація У статті розповідається про співробітництво найбільших ІТ-компаній та створення особливого партнерства – Партнерства Штучного Інтелекту. Дослідження показує різні цілі та місії, висвітлені технологічними гігантами, і декотрі проблеми, що пояснюють майбутню діяльність даної організації. Ключові слова: партнерство, Штучний Інтелект, Рада Довіри, технології, Силіконова Долина. Abstract The article tells about the cooperation between the greatest IT-companies and the creation of the special partnership – the Partnership on Artificial Intelligence.The research shows different goals and missions highlighted by technology giants and some problems explaining future activities of this organization. Keywords: partnership, Artificial Intelligence, The Board of Trustees, technology, Silicon Valley. It is a well-known fact that the greatest IT-companies have been mostly competitors and cooperated a little not so far ago. But such a situation has changed lately and the best example is joining forces of some tech giants to create a new AI partnership. It is dedicated to advancing public understanding of the sector, as well as coming up with standards for future researchers to abide by. Five tech giants announced inSeptember, 2016 that they are launching a nonprofit to “advance public understanding” of artificial intelligence and to formulate “best practices on the challenges and opportunities within the field.” The Partnership on Artificial Intelligence to Benefit People and Society is being formed by Amazon, Facebook, Google, IBM, and Microsoft, each of which will have a representative on the group's 10- member board.After conspicuously being absent when the group came together in September 2016, Apple has joined the Partnership on AI inJanuary, 2017.
    [Show full text]
  • The Dawn of Artificial Intelligence”
    Statement of Greg Brockman Co-Founder and Chief Technology Officer OpenAI before the Subcommittee on Space, Science, and Competitiveness Committee on Commerce, Science, and Transportation United States Senate Hearing on “The Dawn of Artificial Intelligence” Thank you Chairman Cruz, Ranking Member Peters, distinguished members of the Subcommittee. Today’s hearing presents an important first opportunity for the members of the Senate to understand and analyze the potential impacts of artificial intelligence on our Nation and the world, and to refine thinking on the best ways in which the U.S. Government might approach AI. I'm honored to have been invited to give this testimony today. By way of introduction, I'm Greg Brockman, co-founder and Chief Technology Officer of OpenAI. OpenAI is a non-profit AI research company. Our mission is to build safe, advanced AI technology and ensure that its benefits are distributed to everyone. OpenAI is chaired by technology executives Sam Altman and Elon Musk. The US has led the way in almost all technological breakthroughs of the last hundred years, and we've reaped enormous economic rewards as a result. Currently, we have a lead, but hardly a monopoly, in AI. For instance, this year Chinese teams won the top categories in a Stanford University-led image recognition competition. South Korea has declared a billion dollar AI fund. Canada produced some technologies enabling the current boom, and recently announced an investment into key areas of AI. I'd like to share 3 key points for how we can best succeed in AI and what the U.S.
    [Show full text]
  • The Partnership on AI Jeffrey Heer (University of Washington; [email protected]) DOI: 10.1145/3284751.3284760
    AI MATTERS, VOLUME 4, ISSUE 3 4(3) 2018 The Partnership on AI Jeffrey Heer (University of Washington; [email protected]) DOI: 10.1145/3284751.3284760 The Partnership on AI to Benefit People and The PAI kick-off meeting was held in Berlin Society (or PAI) is a consortium of industrial, in October 2017, with wide-ranging discus- non-profit, and academic partners for promot- sions organized around the above pillars. A ing public understanding and beneficial use primary of outcome of the meeting and sub- of Artificial Intelligence (AI) technologies. Pri- sequent membership surveys was the forma- mary goals of the PAI are “to study and for- tion of three initial working groups focused on mulate best practices on AI technologies, to “Safety-Critical AI”, “Fair, Transparent, and Ac- advance the public’s understanding of AI, and countable AI”, and “AI, Labor, and the Econ- to serve as an open platform for discussion omy”. Each of these groups are now conduct- and engagement about AI and its influences ing a series of meetings to develop best prac- on people and society.” tices and resources for their respective topics. PAI membership includes representa- I am a member of the Fair, Transparent, and tives from over 70 partner organizations Accountable AI (or FTA) working group, co- (https://www.partnershiponai.org/ chaired by Ed Felten (Princeton) and Verity partners/), spanning nine countries (pri- Harding (DeepMind). The charter of the FTA marily in North America, Europe, and Asia) working group is to study issues and oppor- and including technology companies of tunities for promoting fair, accountable, trans- various sizes, academic institutions, and a parent, and explainable AI, including the de- number of non-profits (including ACM).
    [Show full text]
  • Organizing Big Tech by Sarah Jaffe Published by the Rosa Luxemburg Stiftung, New York Office, April 2021
    Organizing Big Tech By Sarah Jaffe Published by the Rosa Luxemburg Stiftung, New York Office, April 2021 Executive Director: Andreas Günther Editor: Aaron Eisenberg and Maria Savel Address: 275 Madison Avenue, Suite 2114, New York, NY 10016 Email: [email protected] Phone: +1 (917) 409-1040 With support from the German Foreign Office. The Rosa Luxemburg Foundation is an internationally operating, progressive non-profit institution for civic education. In coop- eration with many organizations around the globe, it works on democratic and social participation, empowerment of disadvan- taged groups, alternatives for economic and social development, and peaceful conflict resolution. The New York Office serves two major tasks: to work around issues concerning the United Nations and to engage in dialogue with North American progressives in universities, unions, social movements, and politics. www.rosalux.nyc 2 Rosa Luxemburg Stiftung New York Office Organizing Big Tech By Sarah Jaffe A supporter of the RWDSU unionization effort takes a photo of the RWDSU union rep standing with other supporters outside the Amazon fulfillment ware- house at the center of a unionization drive on March 29, 2021 in Bessemer, Alabama. (Photo by Elijah Nouvelage/Getty Images) Introduction The “tech” sector occupies a central place in American capitalism in 2021, and for good reason. As Logic magazine editor Ben Tarnoff notes, “Tech is an oasis of profitability in an era of stagnation. For this reason, it also serves a valuable ideological function.”1 But what do companies like Google, Amazon, and Tesla have in common, really? One began as a search engine; another, an online bookstore; the third an electric car maker.
    [Show full text]
  • Areas for Future Action in the Responsible AI Ecosystem
    1 Acknowledgments This report truly is a product of collective intelligence. It has been produced by The Future Society, with the input and collaboration of the wider GPAI Responsible Development, Use and Governance of AI Working Group (“Responsible AI Working Group” or “RAIWG”), in a period of two months leading to the first Global Partnership for AI (GPAI) plenary. Transparency and open collaboration have been the underlying values behind a process which included three working group meetings, four steering committee meetings, three targeted feedback sessions, seven interviews, one questionnaire, and over 400 comments on interactive documents online. GPAI Responsible AI Co-Chairs David Sadek Yoshua Bengio Rajeev Sangal Raja Chatila Matthias Spielkamp Osamu Sudo GPAI Responsible AI Steering Roger Taylor Committee Dyan Gibbens GPAI Responsible AI Observers Kate Hannah Amir Banifatemi Toshiya Jitsuzumi Vilas Dhar Vincent Müller Marc-Antoine Dilhac Wanda Muñoz Adam Murray Dino Pedreschi Karine Perset Catherine Régis Stuart Russell Francesca Rossi Cédric Wachholz GPAI Responsible AI Members CEIMIA Secretariat Carolina Aguerre Mathieu Marcotte Genevieve Bell Christophe Mariage-Beaulieu Ivan Bratko Jacques Rajotte Joanna Bryson Réjean Roy Partha Pratim Chakrabarti Jack Clark The Future Society Project Team Virginia Dignum Niki Iliadis, Project Manager Alistair Knott Nicolas Miailhe, Research Director Pushmeet Kohli Nicolas Moës, Analyst Marta Kwiatkowska Sacha Alanoca, Analyst Christian Lemaître Léon Delfina Belli, Analyst Alice Hae Yun Oh Caroline Galvan, Advisor Luka Omladič Suzanne Bays, Advisor Julie Owono Sarah Cairns-Smith, Advisor V K Rajah 2 Table of contents Acknowledgments 2 Table of contents 3 Foreword 5 Executive Summary 6 Introduction 11 Section 1. Responsible AI Landscape 12 1.1 Context and Objective of the Catalogue 12 1.2 The Catalogue 13 1.2.1 Categories 13 1.2.2 Attributes 15 1.2.3 Catalogue Insights 16 1.3 Methodology and Limitations 17 Section 2.
    [Show full text]
  • Roundtable Participants
    Follow-up to the Report of the High-level Panel on Digital Cooperation Roundtable Champions and Key Constituents (as of 24 April 2020) The High-level Panel on Digital Cooperation was convened by the UN Secretary-General to provide recommendations on how the international community could work together to optimize the use of digital technologies and mitigate the risks. The Office of Special Adviser Fabrizio Hochschild shared the Panel’s report, “The Age of Digital Interdependence,” with some 400 stakeholders (including all member states) and received almost 100 responses from Member States, the private sector, academia, and civil society. Many of these entities volunteered to lead or participate in one or more of the Panel’s recommendations, through a series of virtual roundtables, as either “Champions” or “Key Constituents”. Champions and Key Constituents have been assigned with attention to geographical, sectoral, and topical balance as well as entities’ specific experience in subject matters of a particular recommendation. Key Constituents will play an elemental role in contributing their skills and expertise to the roundtables, as steered by the Champions. We are delighted to work with the following Champions and Key Constituents for each recommendation: ● 1A Global Connectivity ○ Champions ▪ The Government of Uganda ▪ International Telecommunication Union (ITU) ▪ UNICEF ○ Key Constituents ▪ The Government of Egypt ▪ The Government of Kazakhstan ▪ The Government of Malaysia ▪ The Government of Niger ▪ The Government of Rwanda ▪ European
    [Show full text]
  • AI Now Report 2018
    AI Now Report 2018 Meredith Whittaker , AI Now Institute, New York University, Google Open Research Kate Crawford, AI Now Institute, New York University, Microsoft Research Roel Dobbe , AI Now Institute, New York University Genevieve Fried, AI Now Institute, New York University Elizabeth Kaziunas, AI Now Institute, New York University Varoon Mathur , AI Now Institute, New York University Sarah Myers West , AI Now Institute, New York University Rashida Richardson , AI Now Institute, New York University Jason Schultz , AI Now Institute, New York University School of Law Oscar Schwartz , AI Now Institute, New York University With research assistance from Alex Campolo and Gretchen Krueger (AI Now Institute, New York University) DECEMBER 2018 CONTENTS ABOUT THE AI NOW INSTITUTE 3 RECOMMENDATIONS 4 EXECUTIVE SUMMARY 7 INTRODUCTION 10 1. THE INTENSIFYING PROBLEM SPACE 12 1.1 AI is Amplifying Widespread Surveillance 12 The faulty science and dangerous history of affect recognition 13 Facial recognition amplifies civil rights concerns 15 1.2 The Risks of Automated Decision Systems in Government 18 1.3 Experimenting on Society: Who Bears the Burden? 22 2. EMERGING SOLUTIONS IN 2018 24 2.1 Bias Busting and Formulas for Fairness: the Limits of Technological “Fixes” 24 Broader approaches 27 2.2 Industry Applications: Toolkits and System Tweaks 28 2.3 Why Ethics is Not Enough 29 3. WHAT IS NEEDED NEXT 32 3.1 From Fairness to Justice 32 3.2 Infrastructural Thinking 33 3.3 Accounting for Hidden Labor in AI Systems 34 3.4 Deeper Interdisciplinarity 36 3.5 Race, Gender and Power in AI 37 3.6 Strategic Litigation and Policy Interventions 39 3.7 Research and Organizing: An Emergent Coalition 40 CONCLUSION 42 ENDNOTES 44 This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License 2 ABOUT THE AI NOW INSTITUTE The AI Now Institute at New York University is an interdisciplinary research institute dedicated to understanding the social implications of AI technologies.
    [Show full text]