scholarly journals Shanghai Metro Constructs an “Intelligent Metro”

New Metro ◽  
2020 ◽  
Vol 1 (1) ◽  
pp. 64-66
Author(s):  
Print Journalist
Keyword(s):  
Artificial Intelligence ◽  
Normal State ◽  
Line Planning ◽  
Passenger Flow ◽  
The World ◽  
The Future ◽  
Passenger Flows ◽  
Planning And Construction ◽  
Shanghai Metro ◽  
Metro Network

The World Artificial Intelligence (AI) Conference 2020 opened in Shanghai on July 9, 2020. The AI application scenarios presented by Shanghai Shentong Metro Group Co., Ltd. (Shentong Metro Group) have attracted a lot of attention of visitors. On July 9, 2020, the total passenger flow of Shanghai Metro exceeded 10 million, reaching 10.048 million, and Shanghai will enter the normal state of “ten million passenger flow” every day. At present, the operating mileage of Shanghai Metro reaches 705km, ranking first in the world. According to the new line planning and construction trend, the Shanghai Metro network will continue to expand, and there will be even more passenger flows in the future.

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.

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.

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.

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.

scholarly journals Cognitive Challenges in Human–Artificial Intelligence Collaboration: Investigating the Path Toward Productive Delegation

2021 ◽  
Author(s):  
Andreas Fügener ◽  
Jörn Grahl ◽  
Alok Gupta ◽  
Wolfgang Ketter
Keyword(s):  
Artificial Intelligence ◽  
Knowledge Work ◽  
Work Environments ◽  
The Other ◽  
Business Organizations ◽  
Human Capabilities ◽  
Work Arrangements ◽  
Other Hand ◽  
The World ◽  
The Future

A consensus is beginning to emerge that the next phase of artificial intelligence (AI) induction in business organizations will require humans to work with AI in a variety of work arrangements. This article explores the issues related to human capabilities to work with AI. A key to working in many work arrangements is the ability to delegate work to entities that can do them most efficiently. Modern AI can do a remarkable job of efficient delegation to humans because it knows what it knows well and what it does not. Humans, on the other hand, are poor judges of their metaknowledge and are not good at delegating knowledge work to AI—this might prove to be a big stumbling block to create work environments where humans and AI work together. Humans have often created machines to serve them. The sentiment is perhaps exemplified by Oscar Wilde’s statement that “civilization requires slaves…. Human slavery is wrong, insecure and demoralizing. On mechanical slavery, on the slavery of the machine, the future of the world depends.” However, the time has come when humans might switch roles with machines. Our study highlights capabilities that humans need to effectively work with AI and still be in control rather than just being directed.

scholarly journals Robotics in the Modern World of Work - Results From an Empirical Study Regarding Business Ethics

2021 ◽  
Vol 15 (2) ◽  
pp. 242-249
Author(s):  
Daniela Ludin ◽  
Wanja Wellbrock ◽  
Erika Müller ◽  
Wolfgang Gerstlberger ◽  
Lea Gray ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Business Ethics ◽  
Modern World ◽  
Basic Requirement ◽  
Mechatronic Systems ◽  
Digital Revolution ◽  
The World ◽  
Key Technologies ◽  
The Future ◽  
Technological Standard

The digital revolution is changing the world. Robots, big data and artificial intelligence are the key technologies of the future and the basis of important innovations for the future development of the economy and society. In companies, this fact requires strategic rethinking and adjustments in ever-shorter time cycles. The creation of an agile and collaborative production to achieve the goals is often a basic requirement. With adaptation to technical progress, requirements and goals change continuously. To be and remain competitive, companies are forced to have at least the same technological standard as their competitors. In order to meet these challenges today, the use of highly efficient mechatronic systems such as robots is necessary. The paper analyses business ethics relevant aspects of robotics by using a survey with 88 respondents.

The Past of the Future of Computation

2018 ◽  
Author(s):  
James A. Anderson
Keyword(s):  
Artificial Intelligence ◽  
High Speed ◽  
The Other ◽  
Cognitive Tasks ◽  
Cognitive Tool ◽  
The Past ◽  
The World ◽  
The Future ◽  
Simple Step ◽  
A Current

Hand axes, language, and computers are tools that increase our ability to deal with the world. Computing is a cognitive tool and comes in several kinds: digital, analog, and brain-like. An analog telephone connects two telephones with a wire. Talking causes a current to flow on the wire. In a digital telephone the voltage is converted into groups of ones or zeros and sent at high speed from one telephone to the other. An analog telephone requires one simple step. A digital telephone requires several million discrete steps per second. Digital telephones work because the hardware has gotten much faster. Yet brains constructed of slow devices and using a few watts of power are competitive for many cognitive tasks. The important question is not why machines are becoming so smart but why humans are still so good. Artificial intelligence is missing something important probably based on hardware differences.

Future Morality

2021 ◽  
Keyword(s):  
Artificial Intelligence ◽  
Intimate Relationships ◽  
Criminal Activity ◽  
Personal Relationships ◽  
The Internet ◽  
Know How ◽  
The World ◽  
The Future ◽  
Scientific Advances

The world is changing so fast that it is hard to know how to think about what we ought to do. We barely have time to reflect on how scientific advances will affect our lives before they are upon us. New kinds of dilemma are springing up. Can robots be held responsible for their actions? Will artificial intelligence be able to predict criminal activity? Is the future gender-fluid? Should we strive to become post-human? Should we use drugs to improve our intimate relationships — or to reduce crime? Our intuitions about questions like these are often both weak and confused. This book presents provocative and engaging pieces about aspects of life today, and life tomorrow — birth and death, health and medicine, brain and body, personal relationships, wrongdoing and justice, the internet, animals, and the environment.

scholarly journals Instead of People Using Technology, Technology Is Using People

2021 ◽  
Vol 13 (1) ◽  
pp. 42-45
Author(s):  
Douglas Rushkoff
Keyword(s):  
Artificial Intelligence ◽  
New Technologies ◽  
Human Life ◽  
Team Sport ◽  
Human Beings ◽  
The World ◽  
The Future

Abstract The progress of artificial intelligence and new technologies triggers hot debates about the future of human life. While fans of the singularity say that artificial intelligence will become smarter than human beings and should take over the world, for others, such a vision is a sheer nightmare. Douglas Rushkoff is clearly part of the second group and takes a passionate pro-human stance. He explains why giving too much way to technologies is a mistake and why humans deserve a place in the digital future. Already today, technologies have a much stronger impact on our lives than most of us would believe. For him, being human is a team sport, and he asks for a more conscious use of technologies while keeping rapport with other people. To safeguard the humanness in a tech world, he advises to carefully select the values we embed in our algorithms. Rather than serving perpetual growth, technologies ought to help people reconnect with each other and their physical surroundings.

scholarly journals AI and social theory

AI & Society ◽  
2021 ◽  
Author(s):  
Jakob Mökander ◽  
Ralph Schroeder
Keyword(s):  
Artificial Intelligence ◽  
Social Theory ◽  
Predictive Power ◽  
Digital Data ◽  
Wide Range ◽  
Social Theories ◽  
The World ◽  
The Future ◽  
State Breakdown ◽  
Breakdown Model

AbstractIn this paper, we sketch a programme for AI-driven social theory. We begin by defining what we mean by artificial intelligence (AI) in this context. We then lay out our specification for how AI-based models can draw on the growing availability of digital data to help test the validity of different social theories based on their predictive power. In doing so, we use the work of Randall Collins and his state breakdown model to exemplify that, already today, AI-based models can help synthesise knowledge from a variety of sources, reason about the world, and apply what is known across a wide range of problems in a systematic way. However, we also find that AI-driven social theory remains subject to a range of practical, technical, and epistemological limitations. Most critically, existing AI-systems lack three essential capabilities needed to advance social theory in ways that are cumulative, holistic, open-ended, and purposeful. These are (1) semanticisation, i.e., the ability to develop and operationalize verbal concepts to represent machine-manipulable knowledge; (2) transferability, i.e., the ability to transfer what has been learned in one context to another; and (3) generativity, i.e., the ability to independently create and improve on concepts and models. We argue that if the gaps identified here are addressed by further research, there is no reason why, in the future, the most advanced programme in social theory should not be led by AI-driven cumulative advances.

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