scholarly journals AI and social theory

AI & Society ◽  
2021 ◽  
Author(s):  
Jakob Mökander ◽  
Ralph Schroeder

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.

Author(s):  
Harshit Bhardwaj ◽  
Pradeep Tomar ◽  
Aditi Sakalle ◽  
Uttam Sharma

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.


Author(s):  
Mahesh K. Joshi ◽  
J.R. Klein

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.


2018 ◽  
Vol 61 (2) ◽  
pp. 59-83 ◽  
Author(s):  
Massimo Garbuio ◽  
Nidthida Lin

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.


Author(s):  
Idris Olayiwola Ganiyu ◽  
Ola Olusegun Oyedele ◽  
Evelyn Derera

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.


1986 ◽  
Vol 8 ◽  
pp. 210
Author(s):  
Mark F. Meier

In 1965, the first International Symposium on Glacier Mapping was held in Ottawa. This was convened at the beginning of the International Hydrological Decade, at a time of great expansion in glaciological research around the world. The purpose and scope of glacier mapping were well defined, perhaps for the first time, by the late Valter Schytt and others at the Symposium, It must be remembered that this symposium took place at a time when much of the technology we now take for granted did not exist. In some respects the symposium was prophetic: Gordon Robin suggested that the topography of the ice sheet might be measurable with an altimeter mounted in a satellite, and A.H. Waite, Jr. discussed the beginning attempts to sound glaciers using radio waves. Now in 1985 a Symposium on the same subject has been concluded in Reykjavik. It is apparent that the interest generated in the first Symposium has had a real effect, and some dreams have come true. Jay Zwally reported that repeated satellite altimetry has measured growth of part of the Greenland Ice Sheet, and sophisticated radio echo-sounding programs are adding the third dimension to glacier mapping. And glacier mapping has progressed in many other new and exciting directions. However, problems remain. For instance, only 20% of the Antarctic continent has been mapped at a scale of 1:250 000 or larger and what maps do exist of Antarctica were compiled over long periods of time and cannot be precisely dated. There are still few maps of remote areas in the world and these often lack geographic coordinates and captions in a language of common international use. The navigation or positioning systems used in many large-scale mapping programs have not been as highly developed as they should be. Much glacier mapping data now exists in digital form, but many of the digital data bases can not be accessed internationally. What are the needs for the future? First, we need wider application of digital data bases, including digital terrain models and geographic information systems. These should be set up so that the data can be retrieved by scientists from different countries, a difficult problem for parochial, technical, and political reasons. Attention needs to be given to long-term storage of digital data to insure against degradation with time. Once a good digital data base is established, the appropriate hard copy maps can be produced to whatever specifications are appropriate. But computers will not solve everyone’s needs. We certainly will need, far into the future, classical paper maps, the so-called “hard copy” that displays all of the information the field glaciologist or traveller requires. Public display maps that show the topography in an artistic way that is clear to the inexperienced viewer will always be needed. Of course, all maps should have geographic coordinates and a legend in an international language, such as English, to meet the needs of the international community. The quality of mapping will have to improve to meet tomorrow’s needs, This will include such things as improved definition of ice sheet surfaces, especially along ice divides so that flow patterns can be discerned. We need to integrate accurate positioning systems with the radio echo-sounding or other mapping systems. Repeated mapping of certain glaciers or ice mass areas, using similar mapping specifications, will be needed to detect change in these ice masses; such maps will have to be very precise in the measurement of surface ice elevation, We will certainly need “snapshot” maps of the large ice sheets, a task that can probably be accomplished only through the use of satellite technology. The field has come a long way in the last twenty years but it will probably progress far more in the next twenty. I wish to thank all of the speakers and the participants and those who so superbly organized the Symposium for a most challenging and productive meeting. Thank you all very much.


1986 ◽  
Vol 8 ◽  
pp. 210-210
Author(s):  
Mark F. Meier

In 1965, the first International Symposium on Glacier Mapping was held in Ottawa. This was convened at the beginning of the International Hydrological Decade, at a time of great expansion in glaciological research around the world. The purpose and scope of glacier mapping were well defined, perhaps for the first time, by the late Valter Schytt and others at the Symposium, It must be remembered that this symposium took place at a time when much of the technology we now take for granted did not exist. In some respects the symposium was prophetic: Gordon Robin suggested that the topography of the ice sheet might be measurable with an altimeter mounted in a satellite, and A.H. Waite, Jr. discussed the beginning attempts to sound glaciers using radio waves.Now in 1985 a Symposium on the same subject has been concluded in Reykjavik. It is apparent that the interest generated in the first Symposium has had a real effect, and some dreams have come true. Jay Zwally reported that repeated satellite altimetry has measured growth of part of the Greenland Ice Sheet, and sophisticated radio echo-sounding programs are adding the third dimension to glacier mapping. And glacier mapping has progressed in many other new and exciting directions. However, problems remain. For instance, only 20% of the Antarctic continent has been mapped at a scale of 1:250 000 or larger and what maps do exist of Antarctica were compiled over long periods of time and cannot be precisely dated. There are still few maps of remote areas in the world and these often lack geographic coordinates and captions in a language of common international use. The navigation or positioning systems used in many large-scale mapping programs have not been as highly developed as they should be. Much glacier mapping data now exists in digital form, but many of the digital data bases can not be accessed internationally.What are the needs for the future? First, we need wider application of digital data bases, including digital terrain models and geographic information systems. These should be set up so that the data can be retrieved by scientists from different countries, a difficult problem for parochial, technical, and political reasons. Attention needs to be given to long-term storage of digital data to insure against degradation with time. Once a good digital data base is established, the appropriate hard copy maps can be produced to whatever specifications are appropriate.But computers will not solve everyone’s needs. We certainly will need, far into the future, classical paper maps, the so-called “hard copy” that displays all of the information the field glaciologist or traveller requires. Public display maps that show the topography in an artistic way that is clear to the inexperienced viewer will always be needed. Of course, all maps should have geographic coordinates and a legend in an international language, such as English, to meet the needs of the international community.The quality of mapping will have to improve to meet tomorrow’s needs, This will include such things as improved definition of ice sheet surfaces, especially along ice divides so that flow patterns can be discerned. We need to integrate accurate positioning systems with the radio echo-sounding or other mapping systems. Repeated mapping of certain glaciers or ice mass areas, using similar mapping specifications, will be needed to detect change in these ice masses; such maps will have to be very precise in the measurement of surface ice elevation, We will certainly need “snapshot” maps of the large ice sheets, a task that can probably be accomplished only through the use of satellite technology. The field has come a long way in the last twenty years but it will probably progress far more in the next twenty.I wish to thank all of the speakers and the participants and those who so superbly organized the Symposium for a most challenging and productive meeting. Thank you all very much.


Author(s):  
Andreas Fügener ◽  
Jörn Grahl ◽  
Alok Gupta ◽  
Wolfgang Ketter

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.


2021 ◽  
Vol 11 (2) ◽  
pp. 149-167
Author(s):  
Selcan Peksan

Social theories present a wide range of criticism regarding the modern organization of work, yet little on the nature of humans and what an ideal concept of work would be. Favoring a utopian way of thinking about work, this paper inspects William Morris’ understanding of work and the basic dynamics of work organization in his vision of the society of the future. This article has chosen to perform an in-depth analysis of his utopian novel News from Nowhere due to the transformation of work laying at the core of the book. By tracing the key patterns of work in Morris’ future utopia which he called Nowhere, this paper proposes the concept of work that articulated in Morris’thought as a means of gaining an alternative model regarding the recent debates about the future of work. In particular, the paper scans Morris’ arguments on labor to demonstrate how Morris’ view presents an inspiring approach for our era. This hopefully opens up the prospect of thinking about the ideal work of the future one wants to achieve.


2021 ◽  
Vol 15 (2) ◽  
pp. 242-249
Author(s):  
Daniela Ludin ◽  
Wanja Wellbrock ◽  
Erika Müller ◽  
Wolfgang Gerstlberger ◽  
Lea Gray ◽  
...  

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.


Author(s):  
James A. Anderson

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.


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