Diplomacy in the Age of Artificial Intelligence EDA WORKING PAPER Dr

Total Page:16

File Type:pdf, Size:1020Kb

Diplomacy in the Age of Artificial Intelligence EDA WORKING PAPER Dr Diplomacy in the Age of Artificial Intelligence EDA WORKING PAPER Dr. Corneliu Bjola Head of the Oxford Digital Diplomacy Research Group January 2020 Disclaimer: The views expressed in this publication are solely those of the author and do not necessarily reflect the views of the Emirates Diplomatic Academy, an autonomous federal entity, or the UAE Government. Copyright: EmiratesDiplomatic Academy 2020. Image source: Shutterstock Photo, ID: 1013072284 The Emirates Diplomatic Academy (EDA) is an autonomous federal entity of the United Arab Emirates (UAE) delivering high-impact diplomatic training, and disseminating research and thought leadership that furthers the understanding of diplomacy and international relations. The EDA Working Papers are reviewed by at least two experts in the field to ensure high quality of the publication series. The views expressed in EDA Working Papers are solely those of their authors and do not necessarily reflect the views of the EDA or the UAE Government. This publication may be reproduced in whole or in part for educational or non-profit purposes without alteration and prior written permission, provided acknowledgment of the source is made. No other use is permitted without the express prior written permission of the EDA. Emirates Diplomatic Academy Hamdan Bin Mohammed Street Al Hosn Palace District P.O. Box 35567 Abu Dhabi, United Arab Emirates http://eda.ac.ae/ [email protected] © Copyright 2020 Emirates Diplomatic Academy. All rights reserved. Dr. Corneliu Bjola Head of the Oxford Digital Diplomacy Research Group Dr. Corneliu Bjola is Associate Professor in Diplomatic Studies at the University of Oxford and Head of the Oxford Digital Diplomacy Research Group. He also serves as a Faculty Fellow at the Center on Public Diplomacy at the University of Southern California and as a Professorial Lecturer at the Diplomatic Academy of Vienna. His research focuses on issues related to the impact of digital technology on the conduct of diplomacy with a focus on strategic communication, digital influence and methods for countering digital propaganda. He has authored or edited six books, including the twin volumes on Countering Online Propaganda and Violent Extremism: The Dark Side of Digital Diplomacy (2018) – listed in the Best New International Relations Books To Read In 2019 - and Digital Diplomacy: Theory and Practice (2015). He is currently working on a new project “Diplomacy in the Age of Artificial Intelligence: Evolution or Revolution?” examining the potential transformative impact of AI in consular affairs, crisis communication, public diplomacy, and international negotiations. CONTENTS Executive Summary 2 1. What is Artificial Intelligence? 4 1.1. Definitions 4 1.2. Approaches 6 1.3. Types 7 1.4. Key Points 10 2. AI and Decision-Making: Hype vs Reality 10 2.1. Known Knowns 11 2.2. Known Unknowns 14 2.3. Unknown Unknowns 17 2.4. Key Points 19 3. Diplomacy and AI 19 3.1. Entry Points 22 3.2. Exit Points 26 3.3. Key Points 28 4. Designing AI for diplomacy: The SIIT Framework 29 4.1. Case Study: Diaspora Engagement 31 4.2. Key Points 36 Bibliography 38 1 Diplomacy in the Age of Artificial Intelligence Executive Summary • The global race to developing Artificial Key takeaways Intelligence (AI) capability is on with a clear focus on military, government surveillance, and • AI refers to the activity by which computers economic applications. Studies have also started process large volumes of data using highly to investigate the AI potential for tackling some sophisticated algorithms to simulate human of the world’s most challenging social problems reasoning and/or behaviour. and have found reasons for optimism that AI • The “AI effect” helps explain moving expectations can improve conditions in a variety of social about technology: as AI brings a new technology domains ranging from educational challenges to into the common fold, people become addressing issues of health and hunger. As with accustomed to this technology, it stops being other technological revolutions, AI is bound to considered AI, and newer technology emerges. have far-reaching consequences in every corner of our societies, and diplomacy, by necessity, • Diplomatic functions can still be traditionally cannot escape its gravitational pull. pursued with existing means and resources with no AI support. The new potential that AI brings, • The issue regarding the transformative impact however, is cognitive augmentation, improved of AI on diplomacy bears three interconnected effectiveness and speed. questions: first, what exactly AI means, how does it work, and what forms it takes? Second, • AI systems are sufficiently developed conceptually to what extent is AI capable of revolutionising to provide decisional support for a broad spectrum how policy-makers take decisions? Third, in of diplomatic tasks. They are likely to evolve to what areas of diplomatic activity could AI make allow automation of routinised tasks and services a difference, in what form and with what kind of at the operational and tactical levels, but they will risks? By connecting theories of AI development, likely be kept out of strategic decision-making for decision-making, and institutional adaptation, technical and ethical reasons. the working paper develops an analytical • Structured decisions, descriptive analytics and framework for examining the transformative procedural knowledge are the most likely entry relationship between AI in diplomacy in a manner points for AI adoption in the diplomatic field; they that is conducive to generating relevant policy apply well to consular services and international insight concerning the potential for AI integration negotiations. in the activity of MFAs and embassies and its likely impact on core diplomatic tasks and activities. 2 • Degrees of sustainability of AI technological innovation, perceptions of AI liability for diplomatic engagement, ethical reflections on matters concerning human control and AI (geo)political implications as well as practical considerations related to surveillance constitute potential exit points that may lead Ministries of Foreign Affairs (MFAs) to limit, postpone or abandon AI adoption. • A potentially revolutionary contribution of AI to diplomacy would be to assist the decision-maker to prescribe a course of action in a dynamic fashion; that is, by constantly and automatically adapting its recommendations based on continuous description, diagnostic, prediction, and action loops. • Ministries of Foreign Affairs could deploy the TIID framework as a conceptual roadmap for designing, delivering and deploying AI solutions in diplomacy, that combines considerations about what the objective is (task improvement), how to accomplish it (innovation), with what resources (physical/digital integration) and in what institutional configuration (deployment). 3 EDA WORKING PAPER | DIPLOMACY IN THE AGE OF ARTIFICIAL INTELLIGENCE 1. What is Artificial Intelligence? “By far, the greatest danger of Artificial Intelligence is that people conclude too early that they understand it.” - Eliezer Yudkowsky (AI researcher) 1.1. Definitions The term “artificial intelligence” was first coined by an American computer scientist, John McCarthy in 1956, who defined AI as “the science and engineering of making intelligent machines, especially intelligent computer programs”.1 In basic terms, AI refers to the activity by which computers process large volumes of data using highly sophisticated algorithms to simulate human reasoning and/or behaviour.2 Since 1950, the ability of a machine to act humanly has been evaluated based on the Turing test. To pass the test, a machine should be able to engage in a dialogue for at least five minutes in such a way that a human interrogator could not distinguish its behaviour from that of a human being. To act humanly, a machine would have to meet two conditions: (i) react appropriately to the variance in human dialogue and (ii) display a human-like personality and intentions. No machine has passed the test thus far, and some researchers believe that for mathematical reasons it would be actually impossible to program a machine which can master the complex and evolving pattern of variance which human dialogues contain.3 Thinking humanly, on the other hand, would imply that the machine would be able to think like a person that is, it would be able to store, process, organise information so that it can solve problems and make inferences about new situations. Drawing on theories of cognitive theory, the field of cognitive computing has taken the lead in combining symbolic methods with statistical methods to explore how AI can reason and learn with vast amounts of data.4 Russell & Norvig use these two dimensions (reasoning and behaviour) to group AI definitions according to the emphasis they place on thinking vs acting humanly. The definitions on top in Fig 1 are concerned, for instance, with thought processes and reasoning, whereas the ones on the bottom address behaviour. The definitions in the left column measure success in terms of fidelity to human performance, whereas the ones on the right measure AI excellence against an ideal rational performance.5 Another approach to defining AI is by zooming in on the two constitutive components of the concept. Nils J. 1 John McCarthy, “What Is AI? / Basic Questions,” 2011, accessed May 22, 2019, http://jmc.stanford.edu/artificial-intelligence/what-is-ai/index.html. 2 In simple terms, behaviour refers to the way in which people act to a particular situation
Recommended publications
  • AI and Education
    AI and educationducation Guidance for policymakerspolicy-makers UNESCO Education Sector The Global Education 2030 Agenda Education is UNESCO’s top priority because UNESCO, as the United Nations’ specialized it is a basic human right and the foundation agency for education, is entrusted to lead and on which to build peace and drive sustainable coordinate the Education 2030 Agenda, which is development. UNESCO is the United Nations’ part of a global movement to eradicate poverty specialized agency for education and the through 17 Sustainable Development Goals by Education Sector provides global and 2030. Education, essential to achieve all of these regional leadership in education, strengthens goals, has its own dedicated Goal 4, which aims to national education systems and responds “ensure inclusive and equitable quality education to contemporary global challenges through and promote lifelong learning opportunities for education with a special focus on gender all.” The Education 2030 Framework for Action equality and Africa. provides guidance for the implementation of this ambitious goal and commitments. Published in 2021 by the United Nations Educational, Scientific and Cultural Organization 7, place de Fontenoy, 75352 Paris 07 SP, France © UNESCO 2021 ISBN 978-92-3-100447-6 This publication is available in Open Access under the Attribution-ShareAlike 3.0 IGO (CC-BY-SA 3.0 IGO) license (http://creativecommons.org/licenses/by-sa/3.0/igo/). By using the content of this publication, the users accept to be bound by the terms of use of the UNESCO Open Access Repository (http://www.unesco.org/open-access/terms-use-ccbysa-en). The designations employed and the presentation of material throughout this publication do not imply the expression of any opinion whatsoever on the part of UNESCO concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries.
    [Show full text]
  • Artificial Intelligence and Fundamental Physics Research Tommaso Dorigo, INFN – Padova
    Artificial Intelligence and Fundamental Physics Research Tommaso Dorigo, INFN – Padova 5th USERN Congress, Workshop 2 November 8, 2020 - Tehran Contents • Artificial Intelligence: Where It Comes From, What It Is, Where It Is Going • Applications in Fundamental Physics Research • Quantum Computing: Physics Research for AI • The Future What is Intelligence ? Before we discuss artificial intelligence, we should agree on what intelligence is – and what isn’t. • The term «intelligence» comes from Latin “intelligo” to comprehend, to perceive …but that does not help much. We can consider the literature for help. We find that notable definitions differ significantly, also in relation to what can be general and what is specific of human beings: “The aggregate or global capacity of the individual to act purposefully, to think rationally, and to deal effectively with his environment” [Wechsler 1944] “The unique propensity of human beings to change or modify the structure of their cognitive functioning to adapt to the changing demands of a life situation” [Feuerstein 1990] But also, and more useful to us, are more abstract definitions such as: “Intelligence measures an agent's ability to achieve goals in a wide range of environments” [Legg 2007] “Intelligence is goal-directed adaptive behavior” [Sternberg 1982] What is Artificial Intelligence ? Curiously, a precise definition of Artificial Intelligence is not less challenging than that of Intelligence at large • AI: “Intelligence demonstrated by machines” – devices that have the ability to perceive
    [Show full text]
  • Relative Study on Artificial Intelligence Interaction with Human Emotions
    International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 02 | Feb 2019 www.irjet.net p-ISSN: 2395-0072 Relative Study on Artificial Intelligence Interaction with Human Emotions Chandrika1, K Radha2 1M.Tech, I –Year, CSE, GITAM UNIVERSITY, RUDRARAM HYDERABAD, TELANAGANA, INDIA 2Asst.Professor, CSE, GITAM UNIVERSITY, RUDRARAM, HYDERABAD, TELANAGANA, INDIA ---------------------------------------------------------------------***---------------------------------------------------------------------- Abstract – Artificial Intelligence is a multidisciplinary field 1950 Alan Turing published “Computing Machinery and whose goal is to making software which thinks intelligently Intelligence” in which he proposes “the imitation game” similar to human activities and makes a lot easier to human to which will later become known as the “Turing Test.”[5] achieve their goal. There are some recent successes in Artificial Intelligence from computerized medical diagnosticians and It may be said that Alan Turing’s ideas for computational systems that automatically customize hardware to particular thinking lay the foundation for AI. user requirements. This Paper presents about, how does 1952 Arthur Samuel develops the first computer checkers- Artificial Intelligence interact with humans, Does Artificial playing program and the first computer program to learn on Intelligence can understand the human emotions, what can be its own. the impact of Artificial Intelligence on humans in upcoming years, and Does Artificial Intelligence can replace humans. August 31, 1955 The term “artificial intelligence” is coined in a proposal for a “2 month, 10 man study of artificial Key Words: Artificial Intelligence, computerized medical intelligence” submitted by John McCarthy (Dartmouth diagnosticians, Human Interaction, Human Emotions. College), Marvin Minsky (Harvard University), Nathaniel 1. What is Artificial Intelligence Rochester (IBM), and Claude Shannon (Bell Telephone Laboratories).
    [Show full text]
  • The Future of AI
    Seeing the forest for the trees, and the forests beyond The future of AI A report by the Deloitte AI Institute The question of whether a computer can think is no more interesting than the question of whether a submarine can swim. —Edsger W. Dijkstra, computer science pioneer 2 Contents 01 Everything and 03 The machines 06 Guardrails nothing at all (or, a technological 25 4 history of the future) 8 07 Conclusion 02 Something old, 29 somehow new 04 Us and the machines 6 (or, an anthropological history of the future) 14 05 Us as the machines (or, a biological history of the future) 20 3 Everything and nothing at all 01 As futurists, my team and I secretly And so, when tech headlines begin to Like any gold rush, there’s hope beneath the spend the lion’s share of our time increasingly read as breathless brochures hype. To be sure, there is plenty of actual 02 studying the past. I like to say that for Artificial Intelligence, we grey-hairs can’t gold afoot insofar as we’re seeing a genuine, we’re closet historians. Specifically, help but be reminded of a certain upstart evidence-based phase shift from AI as “cherry- 03 we research the history of various technology category some 20 years ago called on-top” curiosity to “key ingredient” at leading technologies and how they’ve impacted, “the world wide web.” organizations. 61 percent of respondents to or failed to impact, the way the world a recent Deloitte Insights report say AI will 04 works and lives.
    [Show full text]
  • AI Testing - Testing AI-Based Systems (AIT – TAI)
    Certified Tester AI Testing - Testing AI-Based Systems (AIT – TAI) Foundation Level Syllabus Version 2019 Korean Software Testing Qualifications Board Chinese Software Testing Qualifications Board Certified Tester – Foundation Level INTRODUCTION The testing of traditional systems is well-understood, but AI-Based systems, which are becoming more prevalent and critical to our daily lives, introduce new challenges. This syllabus covers the key concepts of Artificial Intelligence (AI), how we decide acceptance criteria and how we test AI-Based systems. These systems are typically complex (e.g. deep neural nets), based on big data, poorly specified and non- deterministic, which creates many new challenges and opportunities for testing them. This syllabus describes the requirements for a 2-day course to be followed by a 1-hour, closed book, multiple choice exam. In this document an AI-Based system is a system that includes at least one AI component. Throughout this document the acronym AI is used to represent the term ‘Artificial Intelligence’. BUSINESS OUTCOMES At the end of this course candidates will be able to: Understand the current state of AI and expected advances in the near future; Interpret and provide guidance on the specification of acceptance criteria for AI-Based systems; Contribute to the development process for machine learning systems and suggest opportunities for influencing their quality; Understand the new challenges of testing AI-Based systems, such as their complexity and non- determinism; Contribute to the test strategy for an AI-Based system; Apply black box and white box test design techniques to generate test suites for AI-Based systems; Recognize the need for virtual test environments to support the release of complex AI-Based systems; Understand the current state of testing supported by AI.
    [Show full text]
  • And Machines: a Classification for AI in Medicine (ADAM Framework)
    ORIGINAL RESEARCH Future Healthcare Journal Vol 8 No 2 July 2021 DIGITAL TECHNOLOGY The automation of doctors and machines: A classification for AI in medicine (ADAM framework) Author: Fawz KazzaziA The advances in artificial intelligence (AI) provide an opportunity (AGI; also known as ‘strong’ or ‘true’ AI) refers to a machine with to expand the frontier of medicine to improve diagnosis, the ability to perform any intellectual task that a human could. efficiency and management. By extension of being able to When John Searle coined this term in 1980, it included attributes of perform any task that a human could, a machine that meets the consciousness, sentience and mind; however, the moral legitimacy requirements of artificial general intelligence (‘strong’ AI; AGI) of machines mimicking characteristics ordinarily attributed to ABSTRACT possesses the basic necessities to perform as, or at least qualify ‘personhood’ remains an active debate.3,4 to become, a doctor. In this emerging field, this article explores Yet, by extension of being able to perform any task that a human the distinctions between doctors and AGI, and the prerequisites could, a machine that meets the requirements of AGI possesses the for AGI performing as clinicians. In doing so, it necessitates the basic necessities to perform as, or at least to qualify to become, a requirement for a classification of medical AI and prepares for doctor. In this evolving fast-paced field, I explore the distinctions the development of AGI. With its imminent arrival, it is beneficial between doctors and AGI, and the emerging prerequisites for AGI to create a framework from which leading institutions can define performing as clinicians.
    [Show full text]
  • Importance of Artificial Intelligence in India
    Vol-7 Issue-1 2021 IJARIIE-ISSN(O)-2395-4396 Importance of Artificial Intelligence In India Mamta Kesri ABSTRACT As machines become increasingly capable, tasks considered to require "intelligence" are often removed from the definition of AI, a phenomenon known as the AI effect. A quip in Tesler's Theorem says "AI is whatever hasn't been done yet." For instance, optical character recognition is frequently excluded from things considered to be AI, having become a routine technology. Modern machine capabilities generally classified as AI include successfully understanding human speech, competing at the highest level in strategic game systems (such as chess and Go), autonomously operating cars, intelligent routing in content delivery networks, and military simulations. Artificial intelligence (AI) is intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals, which involves consciousness and emotionality. The distinction between the former and the latter categories is often revealed by the acronym chosen. 'Strong' AI is usually labelled as AGI (Artificial General Intelligence) while attempts to emulate 'natural' intelligence have been called ABI (Artificial Biological Intelligence). Leading AI textbooks define the field as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. Colloquially, the term "artificial intelligence" is often used to describe machines (or computers) that mimic "cognitive" functions that humans associate with the human mind, such as "learning" and "problem solving" KEYWORD- Artificial Intelligence, machine, learning, technology INTRODUCTIONS Artificial intelligence (AI), the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings.
    [Show full text]
  • Toward AI Security
    CENTER FOR LONG-TERM CYBERSECURITY CLTC WHITE PAPER SERIES Toward AI Security GLOBAL ASPIRATIONS FOR A MORE RESILIENT FUTURE JESSICA CUSSINS NEWMAN CLTC WHITE PAPER SERIES Toward AI Security GLOBAL ASPIRATIONS FOR A MORE RESILIENT FUTURE JESSICA CUSSINS NEWMAN FEBRUARY 2019 CENTER FOR LONG-TERM CYBERSECURITY TOWARD AI SECURITY iv TOWARD AI SECURITY TOWARD AI SECURITY Contents Acknowledgements 2 Abstract 3 Recommendations 4 Introduction 6 AI 101 8 The Transformative Nature of AI 11 AI Security 13 AI Security Map 13 1. Digital / Physical Domain 16 2. Political Domain 20 3. Economic Domain 25 4. Social Domain 29 Global AI Policy Responses 34 China 36 France 39 United Kingdom 45 United States 51 Canada 57 India 59 Japan 60 Singapore 62 South Korea 63 United Arab Emirates 65 Global AI Security Priorities 68 Working with the Private Sector 70 Conclusion 72 Appendix I: AI Policy Compendium 73 Appendix II: Overview Of AI Policy Interests From Ten Countries 76 Endnotes 78 1 TOWARD AI SECURITY Acknowledgements The Center for Long-Term Cybersecurity (CLTC) would like to thank the following individuals for their expertise, feedback, and contributions to this document: Anthony Aguirre, Seth Baum, Niel Bowerman, Jared Brown, Ryan Calo, Betsy Cooper, Elsa Kania, Jade Leung, Nicolas Miailhe, Deirdre Mulligan, Michael Page, Philip Reiner, Stuart Russell, and Helen Toner. Special thanks to Steven Weber, Ann Cleaveland, and Chuck Kapelke of CLTC for their support, feedback, and contributions to this report. CLTC would also like to thank the Hewlett Foundation for making this work possible. 2 TOWARD AI SECURITY TOWARD AI SECURITY Abstract This report uses the lens of global AI security to investigate the robustness and resiliency of AI systems, as well as the social, political, and economic systems with which AI interacts.
    [Show full text]
  • Hello, World: Artificial Intelligence and Its Use in the Public Sector
    Hello, World: Artificial intelligence and its use in the public sector Jamie Berryhill Kévin Kok Heang Rob Clogher Keegan McBride November 2019 | http://oe.cd/helloworld OECD Working Papers on Public Governance No. 36 Cover images are the European Parliament and the dome of Germany’s Reichstag building processed through Deep Learning algorithms to match the style of Van Gogh paintings. tw Hello, World: Artificial Intelligence and its Use in the Public Sector Authors: Jamie Berryhill, Kévin Kok Heang, Rob Clogher, Keegan McBride PUBE 2 This document and any map included herein are without prejudice to the status of or sovereignty over any territory, to the delimitation of international frontiers and boundaries and to the name of any territory, city or area. 1. Note by Tukey: The information in this document with reference to ‘Cyprus’ relates to the southern part of the island. There is no single authority representing both Turkish and Greek Cypriot people on the island. Turkey recognises the Turkish Republic of Northern Cyprus (TRNC). Until a lasting and equitable solution is found within the context of the United Nations, Turkey shall preserve its position concerning the ‘Cyprus issue’. 2. Note by all the European Union Member States of the OECD and the European Commission: The Republic of Cyprus is recognised by all members of the United Nations with the exception of Turkey. The information in this document relates to the area under the effective control of the Government of the Republic of Cyprus. HELLO, WORLD: ARTIFICIAL INTELLIGENCE AND ITS USE IN THE PUBLIC SECTOR © OECD 2019 3 Foreword Artificial Intelligence (AI) is an area of research and technology application that can have a significant impact on public policies and services in many ways.
    [Show full text]
  • Artificial Intelligence & Human Rights Opportunities & Risks
    Artificial Intelligence & Human Rights: OPPORTUNITIES & RISKS September 25, 2018 Filippo Raso Hannah Hilligoss Vivek Krishnamurthy Christopher Bavitz Levin Kim September 2018 Table of Contents Background & Context 3 Summary of Findings 4 1 Introduction 7 2 What is Artificial Intelligence? 10 3 What are Human Rights? 12 4 Identifying the Human Rights Consequences of AI 14 5 AI’s Multifaceted Human Rights Impacts 17 5.1 Criminal Justice: Risk Assessments 20 5.2 Access to the Financial System: Credit Scores 26 5.3 Healthcare: Diagnostics 32 5.4 Online Content Moderation: Standards Enforcement 37 5.5 Human Resources: Recruitment and Hiring 42 5.6 Education: Essay Scoring 47 6 Addressing the Human Rights Impacts of AI: The Strengths and Limits of a Due Diligence-Based Approach 52 7 Conclusion 58 8 Further Reading 59 Artificial Intelligence & Human Rights Opportunities & Risks 2 September 2018 Background & Context1 This report explores the human rights impacts of ar- tificial intelligence (“AI”) technologies. It highlights the risks that AI, algorithms, machine learning, and related technologies may pose to human rights, while also recognizing the opportunities these tech- nologies present to enhance the enjoyment of the rights enshrined in the Universal Declaration of Human Rights (“UDHR”). The report draws heavily on the United Nations Guiding Principles on Busi- ness and Human Rights (“Guiding Principles”) to propose a framework for identifying, mitigating, and remedying the human rights risks posed by AI. Readers wishing to better understand the often-par- adoxical human rights impacts of the six current AI applications that are detailed in this report are in- vited to explore a series of interactive visualizations that are available at ai-hr.cyber.harvard.edu.
    [Show full text]
  • Intelligent Libraries: New Horizons with Artificial Intelligence Volume 3
    Journal of Information Management and Educational Technology Volume 3, Issue 2&3 Hyderabad Karnataka Librarians’ Association August and December 2019 Intelligent Libraries: New horizons with Artificial Intelligence Shankaragouda S Gundakanal1 and Manjuanth Kaddipujar2 1Kannada University, Hampi, Vidyaranya-583 276 [email protected] 2Raman Research Institute, Bengaluru [email protected] ABSTRACT This study throws light on the definition, the historical development of Artificial intelligence (AI) and its application in different streams of study. This paper mainly deals with the implementation of AI in the library environment and also discussed the issues and challenges in deploying AI in libraries. It gives some insights on Competencies and skills required for Librarians in the AI era and the role of librarians in this artificially intelligent society. Key Words – Smart libraries, Intelligent libraries, Artificial intelligence, Modern libraries 1. INTRODUCTION The exponential growth and development of modern technologies in recent decades have impacted each and sector in many ways. Technology has provided new skills, opportunities, and new challenges for humankind. This trend is changing traditional roles. There are two revolutionary technologies catching fire nowadays, i.e., Genome editing and Artificial Intelligence. Genome editing is popularly known as gene editing. Genome editing is a collection of techniques that enables scientists to change an organism’s DNA. Scientists all over the world have developed different approaches for gene editing. The recent and popular among those approaches is CRISPR-Cas9. And the other technology which is changing the world is Artificial Intelligence (AI). AI has already touched many of our daily computing activities, from surfing the web to spam email applications.
    [Show full text]
  • The History of Artificial Intelligence
    The History of Artificial Intelligence History of Computing CSEP 590A University of Washington December 2006 Introduction – Chris Smith The Turing Test – Brian McGuire History of AI applied to Chess – Chris Smith Expert Systems – Ting Huang AI Winter and its lessons – Gary Yang Japan's Fifth Generation Computer System project – Chris Smith Conclusion – Chris Smith 1 Table of Contents Introduction .................................................................................................................................................. 4 ‘Artificial’ intelligence ............................................................................................................................... 4 Themes of AI ............................................................................................................................................. 4 The Turing Test ............................................................................................................................................. 5 Introduction .............................................................................................................................................. 5 Alan Turing ................................................................................................................................................ 5 Inception of the Turing Test ...................................................................................................................... 6 Problems/Difficulties with the Turing Test ..............................................................................................
    [Show full text]