DOCSLIB.ORG

AI for Social Good

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
AI for Social Good itunews AI for social good How artificial intelligence can boost sustainable development 01/2017 Topics ■ Making the most of the digital dividend ■ Introduction to spectrum management ■ Understanding modern spectrum policy ■ Preparing for spectrum auctions ■ Introduction to telecoms regulation ■ Systems for managing and providing information about spectrum ■ Managing public sector spectrum ■ The economics of spectrum management ■ Planning for cognitive radio ■ Policies for the unlicensed sector Bespoke training courses in spectrum policy, telecoms and broadcasting In Association with PolicyTracker “Driving Wireless Innovation“ Join us for Europe´s largest Spectrum Summit on July 5th 2017 to hear about: Challenges of network deployment and future spectrum access for 5G Moderation: Saul Friedner, Associate Director Spectrum Services, LS telcom Internet of Things: technology, regulation and spectrum Moderation: Martin Sims, Managing Director, PolicyTracker DTT of the future – more or less? Moderation: Richard Womersley, Director Spectrum Services, LS telcom (Please note: Agenda and speakers are subject to change) Don’t miss our Post-Summit Workshops on July 6th! Reserve your place now! www.spectrum-summit.com (Editorial) Harnessing the power of AI for social good Houlin Zhao, ITU Secretary‑General rtificial intelligence (AI) has finally arrived, and is quickly becoming a key part of our everyday lives. AI is already incorporated in many products — from Google’s search and translation to Alibaba’s real-time traffic predictions Ato Tesla’s self-driving cars. It is increasingly becoming key to tech industry growth as huge amounts of data generated by Internet of Things (IoT) applications will rely on AI analytics to realize their full potential. AI also has enormous potential for social good. If the scalable power of AI can be leveraged correctly, it can rapidly accelerate progress on the United Nations’ Sustainable Development Goals (SDGs). Lives across the world can be improved in fundamental ways, and this spe- cial edition of ITU News Magazine will outline many of them. Yet, the transformative power of AI brings with it complicated chal- lenges, ranging from ethical issues to security risks, to the disruptive impact of AI on employment. Navigating these challenges may be as difficult as delivering the solu- AI has finally tions for social good — and both will require unprecedented collab- arrived, and oration. AI experts stress that discussions around AI’s implications for society should not be confined to specialists. Indeed, every govern- it is quickly ment, every company, every academic institution and every one of us becoming a should consider how AI will affect our future. 1 key part of This is why ITU, in collaboration with XPRIZE, is organizing the first our everyday “AI for Good Global Summit” to be held in Geneva, from 7 to 9 June lives. 2017. The event aims to accelerate the development of AI solutions by enabling key stakeholders to discuss how best to support AI innova- tion that respects emerging global ethics, norms and standards. 01/2017 We hope this collection of thought leadership and insight from some of AI’s top minds will help frame the important issues, so that together we can unlock the great potential of AI technology to improve lives. MAGAZINE ITU News (Contents) AI for social good How artificial intelligence can boost sustainable development (Editorial) 1 Harnessing the power of AI for social good Cover photo: Shutterstock Houlin Zhao, ITU Secretary‑General (Solutions and Opportunities) 4 Accelerating the Sustainable Development Goals through AI Stephen Ibaraki, Managing partner, REDDS Venture Investment Partners 10 The next frontier is here: 3 key AI capabilities Neil Sahota, Business Development Leader, IBM Watson ISSN 1020–4148 13 Merging biology and AI: the future of health care itunews.itu.int Niven R. Narain, Co‑Founder, President and CEO, BERG Six issues per year Copyright: © ITU 2017 16 How advanced crop intelligence can help solve food production challenges Editor-in-Chief: Matthew Clark Art Editor: Christine Vanoli Josef Akhtman, CEO and founder, Gamaya Editorial Assistant: Angela Smith 19 Unlocking health‑promoting benefits with AI Editorial office/Advertising information: ITU News interviewed Dr Nora Khaldi, Founder Tel.: +41 22 730 5234/6303 and Chief Scientific Officer, Nuritas™ and Emmet Fax: +41 22 730 5935 Browne, Chief Executive Officer, Nuritas™ E-mail: [email protected] Mailing address: (Challenges and Risks) International Telecommunication Union Place des Nations 2 23 AI and ethics — where to draw the line? CH–1211 Geneva 20 (Switzerland) Mike Hinchey, President, International Federation for Information Processing (IFIP) Disclaimer: Opinions expressed in this publication are those of the 26 Quantum computing: New threats require new security authors and do not engage ITU. The designations em- approaches ployed and presentation of material in this publication, including maps, do not imply the expression of any Frederic Werner, Senior Communication Officer, ITU opinion whatsoever on the part of ITU concerning the legal status of any country, territory, city or area, or con- 01/2017 29 Preparing for an AI‑driven society cerning the delimitations of its frontiers or boundaries. Amir Banifatemi, AI Lead, XPRIZE The mention of specific companies or of certain prod- Foundation and venture capitalist ucts does not imply that they are endorsed or recom- mended by ITU in preference to others of a similar nature that are not mentioned. MAGAZINE All photos are by ITU unless specified otherwise. ITU News AI for GOOD GLOBAL SUMMIT AI can help solve humanity’s grandest challenges. Map poverty Multi-sectoral with predictive collaboration is Big Data analytics Reduce essential Increase discrimination agricultural and corruption in productivity government Outwit poachers Analyse vast and monitor amounts of species’ health healthcare data Track illegal fishing through Revolutionize pattern- classrooms with recognition individualized software learning Model Pinpoint gender climate change to inequity, drive predict disasters balanced hiring Predict optimal Improve production efficient, clean levels to water provision reduce waste Power urban-planning Improve decisions through photovoltaic sensor data energy capture Build a more Increase productivity inclusive society through intelligent (e.g. disability automation robotics) Help drive industry innovation Geneva, 7-9 June 2017 (Solutions and Opportunities) Accelerating the Sustainable Development Goals through AI Stephen Ibaraki Managing partner, REDDS Venture Investment Partners REDDS ontinuing on from Mobile and Cloud First, ”AI First“ is quickly becoming a top solution strategy for industry and governments, as evidenced by Cmassive artificial intelligence (AI) investments in the billions. IDC has predicted revenues of nearly 50 billion globally in 2020 at a 55% compound annual growth rate. But it’s not The ’AI of just about business growth: AI is potentially one of the most powerful accelerators of the Everything’ is the 17 United Nations Sustainable Development top tech trend for Goals (SDGs). 2017 and could be The ”AI of Everything“ is the top tech trend an inflection point for 2017 and could be an inflection point for for humankind humankind and the SDGs. 4 and the SDGs. British computer scientist Alan Turing made Stephen Ibaraki predictions about machine learning way back in 1947. Fast forward to 2017, when Microsoft CEO Satya Nadella, speaking in India, called AI the ultimate breakthrough technology, which is real- 01/2017 ized today in intelligent agents, augmented real- ity, and rapid advancements in deep neural nets providing fundamental human-like perception. MAGAZINE ITU News (Solutions and Opportunities) AI, for instance, is currently being used to economic, cultural, and societal change driven mine opportunities from the data within India’s by what I call ’A Triple C’: 1.1 billion-citizen, biometric digital identity sys- Automation; tem, Aadhaar. The possibilities were discussed time Compression in new innovations; amongst entrepreneurs at the Financial Services Convergence in biological and Roundtable Fintech Ideas Festival CEO‑summit digital existences; in January. ubiquitous Connectivity. That’s just one example of the overlapping The underlying catalyst of ”A Triple C“ is a digital amplification of value that could come out of AI mesh created by the growing deployment of this period of unprecedented acceleration of machine learning — the ”AI of Everything“. AI for global good — Accelerating the SDGs So how can the power of AI be harnessed for social good? How can it accelerate the SDGs? There are a growing number of use cases for AI enabling the SDGs. Here are a few of them. SDG 1: No poverty AI will provide real-time resource allocation through satellite mapping and data analysis of poverty. SDG 2: Zero hunger Agriculture productivity is increased through predicative analysis from imaging with automated drones and from satellites. Nearly 50% of crops are lost through waste, over consumption and production inefficiencies. 5 Livestock production losses are 78%. SDG 3: Good health and well‑being Preventative healthcare programs and diagnostics are significantly improved through AI leading to new scientific breakthroughs. There are 8 billion mobile devices with smartphone cameras being used to diag- nose heart, eye and blood disorders; microphone and motion sensors 01/2017 yielding insights into bone density and osteoporosis — and
Load more

Recommended publications
  • United Nations Activities on Artificial Intelligence (AI) 2018
    United Nations Activities on Artifi cial Intelligence (AI) United Nations Activities on Artificial Intelligence (AI) 2018 Table of Contents Foreword v Introduction vii Annex: Activities on Artificial Intelligence vii Comprehensive Nuclear-Test-Ban Treaty Organization 8 International Civil Aviation Organization 11 International Labour Organisation 13 International Telecommunication Union 15 United Nations Programme on HIV/AIDS 18 United Nations Conference on Trade and Development 19 United Nations Department of Economic and Social Affairs 21 United Nations Development Programme 22 United Nations Economic Commission for Europe 24 United Nations Environment Programme 26 United Nations Educational, Scientific and Cultural Organization 28 United Nations Population Fund 30 United Nations Global Pulse 32 United Nations High Commissioner for Refugees 34 United Nations Children’s Fund 35 United Nations Interregional Crime and Justice Research Institute 38 United Nations Institute for Disarmament Research 40 United Nations Industrial Development Organization 42 United Nations Office for Disaster Risk Reduction 44 United Nations Institute for Training and Research 46 United Nations Office for Disarmament Affairs 48 United Nations Office for Outer Space Affairs 50 United Nations University 52 World Food Programme 54 World Health Organization 56 World Intellectual Property Organization 58 World Bank Group 59 iii Foreword Recent progress in Artificial Intelligence has been im- mense and exponential. The technology is making its way out of research labs and into our everyday lives, prom- ising to help us tackle humanity’s greatest challenges. As the UN specialized agency for information and com- munication technologies, ITU believes in the power of AI for good, and organizes the “AI for Good” series since 2017.
    [Show full text]
  • The AIGO: a Framework for Planning, Developing, and Deploying Artificial Intelligence in Intergovernmental Organizations
    The AIGO: A Framework for Planning, Developing, and Deploying Artificial Intelligence in Intergovernmental Organizations Jannik Seger Nicolas Miailhe Simon Mueller JANUARY 2019 The AIGO: A Framework for Planning, Developing, and Deploying Artificial Intelligence in Intergovernmental Organizations JANUARY 2019 Jannik Seger | Nicolas Miailhe | Simon Mueller Artificial Intelligence (AI) has created significant value in prediction technology and illustrates the evolution from crucial areas such as healthcare, finance, energy, retrospective to AI-based, forward looking data analytics transportation, and environmental protection. The • Section IV details the value-creation potential of AI that productivity gains caused by AI hold the potential to bolster IGOs may realize by firmly integrating AI into their core growth and development over the next decades by making processes: improved insight generation, faster and decision-making processes and resource management of larger-scale evidence-based decision making, and complex systems more efficient. optimization of output delivery processes Similar to the steam engine or electricity, AI is a versatile • Section V provides a detailed, multi-step roadmap for an enabling technology with a diverse range of applications. effective implementation of AI in IGOs. It shows how to While the previous two paved the way for the creation of develop a strategic intent for AI, ensure senior specialized machines that could replace human physical executives’ support, lay the organizational foundations, labor for defined tasks, AI will eventually allow for the and ensure adequate data quality. IGO executives find development of self-optimizing information systems capable practical advice on how to prepare the cultural transition, of replacing human cognitive labor in specific settings and identify and prioritize use cases, and ensure a successful applications.
    [Show full text]
  • AI and Machine Learning in 5G
    No. 5, 2020 AI and Machine Learning in 5G Lessons from the ITU Challenge Stay current // // Stay informed ITU News has moved to a new platform. Discover MyITU your gateway to relevant ITU content, based on your interests. Keep informed with the latest ITU News. To receive the new weekly ITU Newsletter, Subscribe ITU News ITU News Regular articles Magazine Join ITU’s online communities on your favorite channel Editorial ITU News MAGAZINE No. 05, 2020 1 AI and machine learning in 5G — the ITU Challenge 2020 By Houlin Zhao, ITU Secretary‑General J In February this year, the we announced the approval International Telecommunication by our 193 Member States of Union (ITU) set the first ITU AI/ML in an ITU Radiocommunication 5G Challenge in motion — a global Sector (ITU–R) Recommendation: competition that will culminate in “Detailed specifications of the an online prize‑winning event on radio interfaces of IMT‑2020.” 15–17 December, 2020. IMT‑2020 specifications for the fifth Through the Challenge, ITU generation of mobile communica‑ Through the encourages and supports the grow‑ tions (5G) will be the backbone of ing community driving the integra‑ tomorrow’s digital economy, lead‑ Challenge, ITU tion of artificial intelligence (AI) and ing industry and society into the encourages machine learning (ML) in networks automated and intelligent world and supports and at the same time enhances the and promising to improve people’s community driving ITU standardiza‑ lives on a scale never seen before. the growing tion work for AI/ML. community In this edition of the ITU Magazine driving the The ITU Challenge enables the you will learn all about the ITU AI/ integration collaborative culture necessary for ML in 5G Challenge and also find success in emerging and future ample insight articles from industry of artificial networks such as 5G and creates and academia.
    [Show full text]
  • Experts Doubt Ethical AI Design Will Be Broadly Adopted As the Norm Within the Next Decade
    FOR RELEASE June 16, 2021 Experts Doubt Ethical AI Design Will Be Broadly Adopted as the Norm Within the Next Decade A majority worries that the evolution of artificial intelligence by 2030 will continue to be primarily focused on optimizing profits and social control. They also cite the difficulty of achieving consensus about ethics. Many who expect progress say it is not likely within the next decade. Still, a portion celebrate coming AI breakthroughs that will improve life BY Lee Rainie, Janna Anderson and Emily A. Vogels FOR MEDIA OR OTHER INQUIRIES: Lee Rainie, Director, Internet and Technology Research Janna Anderson, Director, Elon University’s Imagining the Internet Center Haley Nolan, Communications Associate 202.419.4372 www.pewresearch.org RECOMMENDED CITATION Pew Research Center, June 16, 2021. “Experts Doubt Ethical AI Design Will Be Broadly Adopted as the Norm in the Next Decade” 1 PEW RESEARCH CENTER About Pew Research Center Pew Research Center is a nonpartisan fact tank that informs the public about the issues, attitudes and trends shaping America and the world. It does not take policy positions. It conducts public opinion polling, demographic research, content analysis and other data-driven social science research. The Center studies U.S. politics and policy; journalism and media; internet, science and technology; religion and public life; Hispanic trends; global attitudes and trends; and U.S. social and demographic trends. All of the center’s reports are available at www.pewresearch.org. Pew Research Center is a subsidiary of The Pew Charitable Trusts, its primary funder. For this project, Pew Research Center worked with Elon University’s Imagining the Internet Center, which helped conceive the research and collect and analyze the data.
    [Show full text]
  • Resource Guide on ARTIFICIAL INTELLIGENCE (AI) STRATEGIES
    RESOURCERESOURCE GUIDE GUIDE ONON ARTIFICIAL RESOURCEARTIFICIAL INTELLIGENCEINTELLIGENCEGUIDE STRATEGIES STRATEGIES ON ARTIFICIAL INTELLIGENCE STRATEGIES Resource Guide ON ARTIFICIAL INTELLIGENCE (AI) STRATEGIES April 2021 1 Table of Contents Chapter 1: Introduction ........................................................................................................................................... 4 Chapter 2: Ethics of AI .............................................................................................................................................. 6 Introduction ............................................................................................................................................................. 6 Ethical implications of AI .......................................................................................................... 8 Call for an ethical approach to development and use of AI ................................................... 10 United Nations work on AI Ethics .................................................................................................................. 10 Key References .................................................................................................................................................... 11 International Organizations .................................................................................................... 11 National Governments .........................................................................................................
    [Show full text]
  • A Definition, Benchmark and Database of AI for Social Good Initiatives
    PERSPECTIVE https://doi.org/10.1038/s42256-021-00296-0 A definition, benchmark and database of AI for social good initiatives Josh Cowls1,2, Andreas Tsamados1, Mariarosaria Taddeo 1,2 and Luciano Floridi 1,2 ✉ Initiatives relying on artificial intelligence (AI) to deliver socially beneficial outcomes—AI for social good (AI4SG)—are on the rise. However, existing attempts to understand and foster AI4SG initiatives have so far been limited by the lack of normative analyses and a shortage of empirical evidence. In this Perspective, we address these limitations by providing a definition of AI4SG and by advocating the use of the United Nations’ Sustainable Development Goals (SDGs) as a benchmark for tracing the scope and spread of AI4SG. We introduce a database of AI4SG projects gathered using this benchmark, and discuss several key insights, including the extent to which different SDGs are being addressed. This analysis makes possible the identification of pressing problems that, if left unaddressed, risk hampering the effectiveness of AI4SG initiatives. n recent years, the development of AI technologies has been tematic analysis. This Perspective article fills this gap, by formal- driven primarily by commercial interests. However, the number izing a definition of AI4SG initiatives and by arguing that the 17 Iof non-commercial projects leveraging AI technologies to deliver United Nations (UN) SDGs provide a valid framework with which socially beneficial outcomes has proliferated worldwide. These proj- to benchmark socially good uses of AI technologies. To support ects can be described as ‘socially good AI’ (hereafter ‘AI4SG’1). the analysis, we introduce a database of AI4SG projects gathered AI4SG facilitates the attainment of socially good outcomes that using this benchmark, and discuss several key insights, including were previously unfeasible, unaffordable or simply less achievable the extent to which different SDGs are being addressed.
    [Show full text]
  • Technological Innovation for Humanitarian Aid and Assistance
    Technological innovation for humanitarian aid and assistance STUDY Panel for the Future of Science and Technology EPRS | European Parliamentary Research Service Scientific Foresight Unit (STOA) PE 634.411 – May 2019 EN Technological innovation for humanitarian aid and assistance During the World Humanitarian Summit in 2016, former UN Secretary-General Ban-Ki Moon urged the global community to commit to the 'Agenda for Humanity' to address the challenges in the humanitarian sector with the aim of preventing and helping reduce human suffering during crises. Technological innovation in humanitarian assistance is perceived as an enabler in achieving these commitments. The object of this study into the fast-moving, dynamic and emergent field of humanitarian technological innovation is to analyse the impact of these innovations as transformative tools for both people in need and those providing humanitarian relief. The report provides an overview of the current state-of-play and developments with regard to ICT-related innovation in humanitarian assistance. Based on the concerns, opportunities and benefits identified, the study provides a set of policy options to further technological innovation in humanitarian assistance. STOA - Panel for the Future of Science and Technology The STOA project 'Technological innovation for humanitarian aid and assistance' was carried out by Capgemini Consulting, at the request of the Panel for the Future of Science and Technology (STOA) and managed by the Scientific Foresight Unit within the Directorate-General
    [Show full text]
  • The Ethics of Artificial Intelligence: Issues and Initiatives
    The ethics of artificial intelligence: Issues and initiatives STUDY Panel for the Future of Science and Technology EPRS | European Parliamentary Research Service Scientific Foresight Unit (STOA) PE 634.452 – March 2020 EN The ethics of artificial intelligence: Issues and initiatives This study deals with the ethical implications and moral questions that arise from the development and implementation of artificial intelligence (AI) technologies. It also reviews the guidelines and frameworks which countries and regions around the world have created to address them. It presents a comparison between the current main frameworks and the main ethical issues, and highlights gaps around the mechanisms of fair benefit-sharing; assigning of responsibility; exploitation of workers; energy demands in the context of environmental and climate changes; and more complex and less certain implications of AI, such as those regarding human relationships. STOA | Panel for the Future of Science and Technology AUTHORS This study has been drafted by Eleanor Bird, Jasmin Fox-Skelly, Nicola Jenner, Ruth Larbey, Emma Weitkamp and Alan Winfield from the Science Communication Unit at the University of the West of England, at the request of the Panel for the Future of Science and Technology (STOA), and managed by the Scientific Foresight Unit, within the Directorate-General for Parliamentary Research Services (EPRS) of the Secretariat of the European Parliament. Acknowledgements The authors would like to thank the following interviewees: John C. Havens (The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems (A/IS)) and Jack Stilgoe (Department of Science & Technology Studies, University College London). ADMINISTRATOR RESPONSIBLE Mihalis Kritikos, Scientific Foresight Unit (STOA) To contact the publisher, please e-mail [email protected] LINGUISTIC VERSION Original: EN Manuscript completed in March 2020.
    [Show full text]
  • Effective, Timely and Global: the Urgent Need for Good Global Governance of AI
    Effective, Timely and Global: the urgent need for good Global Governance of AI A report by the Transnational Working Group on AI and Disruptive Technologies of the World Federalist Movement and Institute for Global Policy November 2020 1 Corporate Author The Transnational Working Group on AI and Disruptive Technologies of the World Federalist Movement and Institute for Global Policy Corresponding author: [email protected] Members of the Transnational Working Group: Keith Best Didier Coeurnelle Dr Walter Dorn Marcelo Lemos Dr Lars Lünenburger Fritz Pointer Marjolijn Snippe Robert Whitfield (Chair) We acknowledge the support received from John Daniele, Paju-Anna Hentunen, Imogen McCullough and Hester Mifsud and recent speakers who have inspired us including Jamie Metzl and Nell Watson. 2 Contents Executive Summary 4 Recommendations 7 1 INTRODUCTION 9 2 THE CASE FOR GOOD AI 10 3 REGULATION AND GOVERNANCE 13 4 VALUES AND PRINCIPLES 19 5 SOCIAL MEDIA AND THE INFOCALYPSE 26 6 AI ACTIVITIES REPLACING HUMAN WORK 29 7 DESKILLING 38 8 THE FUTURE OF HUMANITY 42 9 MILITARY USE 53 10 GOVERNANCE / INSTITUTIONAL ISSUES 56 11 PHASED SUMMARY 64 12 CONCLUSIONS 65 BIBLIOGRAPHY 65 NOTES 73 3 Executive Summary Artificial Intelligence (AI) has immense value to offer to humanity, such as improved efficiency, new capabilities, and solutions for complex problems. A fast- growing AI industry is developing, applying AI to every sector of our economy. AI is often able to reduce costs, render a service more effective or produce a design more quickly. As its capabilities continue to grow, it may prove as transformative as the proliferation of electrification and cheap motive power was in the 20th century, ushering in an era of abundance, longer and healthier lives and greater realisation of human rights.
    [Show full text]
  • International Telecommunication Union
    NTERNATIONAL TELECOMMUNICATION UNION I TELECOMMUNICATION STANDARDIZATION BUREAU Geneva, 01 March 2021 Ref: TSB Circular 301 - To Administrations of Member States of the Contact: Charlyne Restivo Union; Tel: +41 22 730 5861 Copy: Fax: +41 22 730 5853 - To ITU-T Sector Members; E-mail: [email protected] - To ITU-T Associates; - To ITU-T Academia; - To the Chairmen and Vice-Chairmen of Study Groups; - To the Director of the Telecommunication Development Bureau; - To the Director of the Radiocommunication Bureau Subject: ITU webinar and third meeting of ITU-T Focus Group on Environmental Efficiency for Artificial Intelligence and other Emerging Technologies (FG-AI4EE) (Virtual, 07-08 April 2021) Dear Sir/Madam, 1 It is my pleasure to invite you to the International Telecommunication Union (ITU) webinar on Artificial Intelligence (AI) for sustainable transformation in smart cities, mobility & energy which will take place on 07 April 2021 from 16h00 to 18h00 (CEST). The webinar will be followed by the third meeting of the FG-AI4EE also taking place virtually on 08 April 2021 from 14h00 to 17h00 (CEST). 2 The webinar will be held as part of the AI for Good Global Summit and will explore how AI can enhance environmental sustainability with a focus on AI use cases emerging in smart cities, mobility, and energy. The webinar will provide unique insight into the AI applications helping industry players and governments to achieve sustainability targets. 3 The third meeting of the Focus Group on Environmental Efficiency for Artificial Intelligence and other Emerging Technologies will aim to approve the first round of Focus Group’s deliverables that are completed, provide updates on the status of other deliverables in progress, and discuss the Focus Group’s workplan.
    [Show full text]
  • The AI for Good Global Summit Program
    The AI for Good Global Summit Program DAY 1 – Wednesday, June 7 08.00- High-level Networking breakfast 09.30 09.30- Welcome Address 10.00 António Guterres (invited), Secretary-General, United Nations Houlin Zhao, Secretary General, ITU Marcus Shingles, CEO, XPRIZE Foundation 10.00- Moonshots 10.45 Inaugural moonshot keynote: Rupert Stadler, CEO and Chairman of the Board of Management, AUDI AG Inspirations about the future: Yoshua Bengio, Head, Montreal Institute for Learning Algorithms (MILA) Jürgen Schmidhuber, Scientific Director, Swiss AI Lab, IDSIA; Professor of AI, USI & SUPSI, Switzerland; President of NNAISENSE Moderator: Zenia Tata, Global International Development, XPRIZE (tbc) 10.45- coffee break 11.15 11.15- [PLENARY 1] State of play of AI 12.45 Margaret Chan, Director General, World Health Organization Zeid Ra'ad Al Hussein, United Nations High Commissioner for Human Rights, OHCHR Peter Lee, Corporate Vice President of Microsoft AI and Research, Microsoft Francesca Rossi, Research Scientist, IBM Watson and Professor of Computer Science, University of Padova Gary Marcus, Professor of Psychology and Neural Science, New York University Moderator: Gary Marcus, Professor of Psychology and Neural Science, New York University 12.45- lunch break 14.00 14.00- [PLENARY 2] AI transformations on the horizon 15.30 Robert Kirkpatrick, Director, UN Global Pulse Eric Horvitz, Technical Fellow and Managing Director, Microsoft Research Vicki Hanson, President, Association for Computing Machinery (ACM) Jaan Tallinn, Co-Founder,
    [Show full text]
  • Ethics and AI for Good Health: Symposium Report
    July 2018 ETHICS AND AI FOR GOOD HEALTH S Y M P O S I U M R E P O R T Symposium Overview Ethics and AI for Good Health Symposium Ethics and AI for Good Health Symposium SYMPOSIUM OBJECTIVES PARTICIPANTS FORMAT AND METHOD Symposium Proceedings OPENING REMARKS Adalsteinn Brown, Dean, Dalla Lana School of Public Health Alison Paprica, Vice President, Health Strategy and Partnerships, Vector Institute for artificial intelligence OPENING ADDRESS: ETHICS AND AI FOR HEALTH: WHAT DO WE KNOW? AND WHY DOES IT MATTER? Ross Upshur, Professor and Head, Division of Clinical Public Health, DLSPH Jennifer Gibson, Director, Joint Centre for Bioethics Moderator: Erica Di Ruggiero, Director, Office of Global Public Health Education and Training, DLSPH PANEL 1: AI IN HEALTH CARE Frank Rudzicz, Scientist, University Health Network and Vector Institute Sally Bean, Director, Ethics Centre, Sunnybrook Health Sciences Centre Ken Goodman, Director, University of Miami Ethics Programs Moderator: Jennifer Gibson PANEL 2: AI IN POPULATION HEALTH, HEALTH SYSTEMS, AND PUBLIC HEALTH PRACTICE Natasha Crowcroft, Chief, Applied Immunization Research and Evaluation, Public Health Ontario (PHO) Muhammad Mamdani, Director, Li Ka Shing Centre for Healthcare Analytics Research and Training (LKS-CHART) Laura Rosella, Assistant Professor, DLSPH Moderator: Ross Upshur PANEL 3: AI FOR HEALTH IN A GLOBALIZED WORLD Andreas Reis, Technical Officer, Global Health Ethics, World Health Organization Erica Di Ruggiero, Director, Office of Global Public Health Education and Training, DLSPH Amy Fairchild, Professor and Associate Dean, Texas A&M School of Public Health Moderator: Solly Benatar CLOSING PLENARY: ETHICS AND AI FOR HEALTH: WHERE DO WE GO FROM HERE? Key Findings CROSS-CUTTING THEMES Accountability Trust Privacy PANEL-SPECIFIC THEMES 1.
    [Show full text]