The future of democracy: the end of democracy as we know it

Kybernetes ◽  
2019 ◽  
Vol 48 (10) ◽  
pp. 2237-2265
Author(s):  
Miguel Goede
Keyword(s):  
Artificial Intelligence ◽  
Representative Democracy ◽  
Content Type ◽  
Universal Form ◽  
Form Of Government ◽  
The World ◽  
The Future ◽  
Global Government ◽  
The Ideal

Purpose The purpose of this article is to explore the future of democracy, given the transition the countries of the world are experiencing. Methodology The paper draws on literature concerning democracy, ICT and artificial intelligence. A framework for understanding the working of democracy is developed. This framework or model is tested in 20 countries, and conclusions are presented. Findings Globally, there is a shift taking place away from representative democracy toward less democratic forms of government. Originality Most studies are implicitly dogmatic in assuming that representative democracy is a superior form of government. The influences of corporations, media and the elite are moving representative democracy away from the ideal of democracy. Conclusions The future of democracy is uncertain. It is not likely that representative democracy will become the universal form of government. Global government is possible, but it is not likely to be a representative democracy.

The Future of Work and the Changing Workplace

2018 ◽  
Author(s):  
Mahesh K. Joshi ◽  
J.R. Klein
Keyword(s):  
Artificial Intelligence ◽  
Machine Intelligence ◽  
Political Issue ◽  
Digital Innovation ◽  
Future Of Work ◽  
The Past ◽  
The World ◽  
Public Debates ◽  
The Future ◽  
Market Opportunities

The world of work has been impacted by technology. Work is different than it was in the past due to digital innovation. Labor market opportunities are becoming polarized between high-end and low-end skilled jobs. Migration and its effects on employment have become a sensitive political issue. From Buffalo to Beijing public debates are raging about the future of work. Developments like artificial intelligence and machine intelligence are contributing to productivity, efficiency, safety, and convenience but are also having an impact on jobs, skills, wages, and the nature of work. The “undiscovered country” of the workplace today is the combination of the changing landscape of work itself and the availability of ill-fitting tools, platforms, and knowledge to train for the requirements, skills, and structure of this new age.

Welcome to the marriage of human capability and artificial intelligence

2019 ◽  
Vol 19 (1) ◽  
pp. 10-14
Author(s):  
Ryan Scott ◽  
Malcolm Le Lievre
Keyword(s):  
Artificial Intelligence ◽  
Team Building ◽  
Workplace Change ◽  
Content Type ◽  
The Future ◽  
Human Capability ◽  
Mind Set ◽  
Future Work ◽  
Crucial Part ◽  
Practical Implications

Purpose The purpose of this paper is to explore insights methodology and technology by using behavioral to create a mind-set change in the way people work, especially in the age of artificial intelligence (AI). Design/methodology/approach The approach is to examine how AI is driving workplace change, introduce the idea that most organizations have untapped analytics, add the idea of what we know future work will look like and look at how greater, data-driven human behavioral insights will help prepare future human-to-human work and inform people’s work with and alongside AI. Findings Human (behavioral) intelligence will be an increasingly crucial part of behaviorally smart organizations, from hiring to placement to adaptation to team building, compliance and more. These human capability insights will, among other things, better prepare people and organizations for changing work roles, including working with and alongside AI and similar tech innovation. Research limitations/implications No doubt researchers across the private, public and nonprofit sectors will want to further study the nexus of human capability, behavioral insights technology and AI, but it is clear that such work is already underway and can prove even more valuable if adopted on a broader, deeper level. Practical implications Much “people data” inside organizations is currently not being harvested. Validated, scalable processes exist to mine that data and leverage it to help organizations of all types and sizes be ready for the future, particularly in regard to the marriage of human capability and AI. Social implications In terms of human capability and AI, individuals, teams, organizations, customers and other stakeholders will all benefit. The investment of time and other resources is minimal, but must include C-suite buy in. Originality/value Much exists on the softer aspects of the marriage of human capability and AI and other workplace advancements. What has been lacking – until now – is a 1) practical, 2) validated and 3) scalable behavioral insights tech form that quantifiably informs how people and AI will work in the future, especially side by side.

Share resources through the largest interlibrary loan network

2016 ◽  
Vol 44 (4) ◽  
pp. 137-140
Author(s):  
Gemma Burke ◽  
Erin Duncan ◽  
JL Smither
Keyword(s):  
Resource Sharing ◽  
Design Methodology ◽  
Interlibrary Loan ◽  
Content Type ◽  
The World ◽  
The Future ◽  
Challenges And Opportunities

Purpose The paper aims to show how using a resource-sharing service can help you provide more resources to your users. Design/methodology/approach This paper discusses interlibrary loan challenges and opportunities, specifically with reference to WorldShare Interlibrary Loan. Findings This paper describes the service that connects libraries to the largest cooperative resource-sharing network with more than 10,000 borrowing and lending libraries worldwide, the possibilities for the future, facts and figures and how libraries around the world have used the solution successfully. Originality/value This paper looks at how WorldShare Interlibrary Loan can help libraries overcome the challenges that they face regarding resource sharing.

Artificial Intelligence as a Growth Engine for Health Care Startups: Emerging Business Models

2018 ◽  
Vol 61 (2) ◽  
pp. 59-83 ◽  
Author(s):  
Massimo Garbuio ◽  
Nidthida Lin
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Business Model ◽  
Value Creation ◽  
Critical Analysis ◽  
Business Models ◽  
Health Conditions ◽  
The World ◽  
The Future

The future of health care may change dramatically as entrepreneurs offer solutions that change how we prevent, diagnose, and cure health conditions, using artificial intelligence (AI). This article provides a timely and critical analysis of AI-driven health care startups and identifies emerging business model archetypes that entrepreneurs from around the world are using to bring AI solutions to the marketplace. It identifies areas of value creation for the application of AI in health care and proposes an approach to designing business models for AI health care startups.

scholarly journals Preface

2021 ◽  
Vol 2050 (1) ◽  
pp. 011001
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Industrial Applications ◽  
Program Committee ◽  
Technical Session ◽  
Technical Program ◽  
Content Type ◽  
The World ◽  
Travel Restrictions ◽  
Virtual Conference

Considering the current situation of COVID-19 and travel restrictions, the 3rd International Conference on Industrial Applications of Big Data and Artificial Intelligence (BDAI 2021) which was planned to be held in Wuhan. China from Sept. 23 to 25, 2021 was changed into virtual conference on Sept. 24, 2021 via Tencent Meeting (Voov) software. BDAI 2021 was organized by China University of Geosciences (Wuhan), sponsored by Hong Kong Society of Mechanical Engineers (HKSME). The Technical Program committee received a total of 38 paper submissions from all over the world, among which 20 papers were accepted, and more than 30 participants attended the conference online, they were from China, Australia, Thailand, Malaysia, India, Japan, UK and more. Four renowned speakers given speeches about their latest research and reports. They are: Prof. Dan Zhang from York University, Canada; Prof. Lefei Zhang from Wuhan University. China: Prof. Deze Zeng from China University of Geosciences (Wuhan), China and Assoc. Prof. Simon James Fong from University of Macau. Macau S.A.R., China. The conference also had 1 technical session and 1 poster sessions. This conference aims to provide a platform for researchers and engineers to share their ideas, recent developments, and successful practices in energy engineering. The participants of the conference were from almost every part of the world, with various background such as academia, industry, and well-known entrepreneurs. Each keynote speech lasted 40 minutes, and authors presentation 15 minutes. Each presentation was included with questions and answers. BDAI 2021 became an effective communication platform for all the participants over the world and unlike some that claim international reach this conference was truly international. The conference proceeding is a compilation of the accepted papers and represent an interesting outcome of the conference. This book covers 3 chapters: 1. Artificial Intelligence: 2. Big Data Technology; 3. Robot System. We would like to acknowledge all of those who supported BDAI 2021. Each individual and institutional help were very important for the success of this conference. Especially we would like to thank the committee chairs, committee members and reviewers, for their tremendous contribution in conference organization and peer review of the papers. We sincerely hope that BDAI 2021 will be a fomrn for excellent discussions that will put forward new ideas and promote collaborative research and support researchers as they take their work forward. We are sure that the proceedings will serve as an important research source of references and the knowledge, which will lead to not only scientific and engineering progress but also other new products and processes. Dan Zhang, York University, Canada

Online or Offline: Does It Matter? A Review of Existing Interpretation Approaches and Their Effect on Screening Mammography Metrics, Patient Satisfaction, and Cost

2021 ◽  
Author(s):  
Shruthi Ram ◽  
Tyler Campbell ◽  
Ana P Lourenco
Keyword(s):  
Artificial Intelligence ◽  
Patient Satisfaction ◽  
Current Literature ◽  
Performance Metrics ◽  
Screening Mammography ◽  
Online Reading ◽  
The Future ◽  
Workflow Efficiency ◽  
Ideal Practice ◽  
The Ideal

Abstract The ideal practice routine for screening mammography would optimize performance metrics and minimize costs, while also maximizing patient satisfaction. The main approaches to screening mammography interpretation include batch offline, non-batch offline, interrupted online, and uninterrupted online reading, each of which has its own advantages and drawbacks. This article reviews the current literature on approaches to screening mammography interpretation, potential effects of newer technologies, and promising artificial intelligence resources that could improve workflow efficiency in the future.

Disruptions of the Fourth Industrial Revolution

2021 ◽  
pp. 189-199
Author(s):  
Idris Olayiwola Ganiyu ◽  
Ola Olusegun Oyedele ◽  
Evelyn Derera
Keyword(s):  
Artificial Intelligence ◽  
Technological Innovation ◽  
Industrial Revolution ◽  
Technological Innovations ◽  
Fourth Industrial Revolution ◽  
Skill Gaps ◽  
The World ◽  
The Future ◽  
The Impact ◽  
And Robotics

The Fourth Industrial Revolution has resulted in the disruption of the world of work whereby technological innovation such as artificial intelligence (AI) and robotics. These disruptions may be creative in that as some jobs are lost due to the development of artificial intelligence, new ones are created. This chapter explored the impact of disruptive technological innovations on the future of work. The skill gaps brought about by the emergence of the Fourth Industrial Revolution was also explored in this chapter.

Societies of the Possible

The Possible ◽  
2020 ◽  
pp. 148-172
Author(s):  
Vlad P. Glăveanu
Keyword(s):  
Social Change ◽  
Historical Time ◽  
The Core ◽  
Form Of Government ◽  
The World ◽  
The Future ◽  
Core Concepts ◽  
Communal Living ◽  
Democratic Systems

This chapter uses the core concepts of position, perspective, and dialogue to analyze the workings of society. From this standpoint, we cannot conceive the possible outside of a societal framework given the fact that societies, all over the world and across historical time, comprise a variety of positions and, through the accumulation and transmission of culture, allow the development of perspectives, including on society itself. At the same time, societies are constantly transformed by the sense of possibility that fuels social change, activism, and the imaginative construction of the future in utopias and dystopias. Democratic systems, built on plurality and dialogue, tend in principle to expand the possible for individuals and communities adopting them. And yet democracies, as both a form of government and a way of living, are inherently fragile. In the end, societies of the possible are both an ontological condition for human communal living and a reality that should not be taken for granted.

Artificial Intelligence and Its Applications in Agriculture With the Future of Smart Agriculture Techniques

2021 ◽  
pp. 25-39
Author(s):  
Harshit Bhardwaj ◽  
Pradeep Tomar ◽  
Aditi Sakalle ◽  
Uttam Sharma
Keyword(s):  
Artificial Intelligence ◽  
Supply Chain ◽  
Food Supply ◽  
Food Supply Chain ◽  
Wide Range ◽  
The World ◽  
The Future ◽  
Entire Society ◽  
Smart Agriculture ◽  
Growing Conditions

Agriculture is the oldest and most dynamic occupation throughout the world. Since the population of world is always increasing and land is becoming rare, there evolves an urgent need for the entire society to think inventive and to find new affective solutions to farm, using less land to produce extra crops and growing the productivity and yield of those farmed acres. Agriculture is now turning to artificial intelligence (AI) technology worldwide to help yield healthier crops, track soil, manage pests, growing conditions, coordinate farmers' data, help with the workload, and advance a wide range of agricultural tasks across the entire food supply chain.

Challenges to the Omohundro–Bostrom framework for AI motivations

foresight ◽  
2019 ◽  
Vol 21 (1) ◽  
pp. 153-166 ◽  
Author(s):  
Olle Häggström
Keyword(s):  
Artificial Intelligence ◽  
Moral Realism ◽  
Design Methodology ◽  
Analytic Philosophy ◽  
Content Type ◽  
Reasonable Amount ◽  
Epistemic Humility ◽  
The Future

PurposeThis paper aims to contribute to the futurology of a possible artificial intelligence (AI) breakthrough, by reexamining the Omohundro–Bostrom theory for instrumental vs final AI goals. Does that theory, along with its predictions for what a superintelligent AI would be motivated to do, hold water?Design/methodology/approachThe standard tools of systematic reasoning and analytic philosophy are used to probe possible weaknesses of Omohundro–Bostrom theory from four different directions: self-referential contradictions, Tegmark’s physics challenge, moral realism and the messy case of human motivations.FindingsThe two cornerstones of Omohundro–Bostrom theory – the orthogonality thesis and the instrumental convergence thesis – are both open to various criticisms that question their validity and scope. These criticisms are however far from conclusive: while they do suggest that a reasonable amount of caution and epistemic humility is attached to predictions derived from the theory, further work will be needed to clarify its scope and to put it on more rigorous foundations.Originality/valueThe practical value of being able to predict AI goals and motivations under various circumstances cannot be overstated: the future of humanity may depend on it. Currently, the only framework available for making such predictions is Omohundro–Bostrom theory, and the value of the present paper is to demonstrate its tentative nature and the need for further scrutiny.

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