THE ROLE OF EDUCATION IN THE FUTURE OF WORK

2021 ◽  
Vol 2021 (100) ◽  
pp. 57-59
Keyword(s):  
Future Of Work ◽  
The Future

scholarly journals Artificial intelligence and the future of work – lessons from the sociology of expectations

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lilla Vicsek
Keyword(s):  
Artificial Intelligence ◽  
Policy Development ◽  
Role Expectations ◽  
Content Type ◽  
Alternative Pathways ◽  
Future Of Work ◽  
Sociology Of Expectations ◽  
The Future ◽  
Practical Implications

PurposeWhat is the future of work going to look like? The aim of this paper is to show how the sociology of expectations (SE) – which deals with the power of visions – can make important contributions in terms of thinking about this issue by critically evaluating the dominant expert positions related to the future-of-employment- and artificial intelligence (AI) debate.Design/methodology/approachAfter providing a literature review regarding SE, an approach based on the latter is applied to interpret the dominant ideal-type expert positions in the future of work debate to illustrate the value of this perspective.FindingsDominant future scripts can be characterized by a focus on the effects of AI technology that give agency to technology and to the future, involve the hype of expectations with polarized frames, and obscure uncertainty. It is argued that these expectations can have significant consequences. They contribute to the closing off of alternative pathways to the future by making some conversations possible, while hindering others. In order to advance understanding, more sophisticated theorizing is needed which goes beyond these positions and which takes uncertainty and the mutual shaping of technology and society into account – including the role expectations play.Research limitations/implicationsThe study asserts that the dominant positions contain problematic assumptions. It makes suggestions for helping move beyond these current framings of the debate theoretically. It also argues that scenario building and backcasting are two tools that could help move forward thinking about the future of work – especially if this is done in a way so as to build strongly on SE.Practical implicationsThe arguments presented herein enhance sense-making in relation to the future-of-work debate, and can contribute to policy development.Originality/valueThere is a lack of adequate exploration of the role of visions related to AI and their consequences. This paper attempts to address this gap by applying an SE approach and emphasizing the performative force of visions.

scholarly journals The Use of Collective Intelligence to Create Efficient Marketing Strategies

2020 ◽  
Vol 13 (2) ◽  
pp. 199-205
Author(s):  
Adnane Derbani ◽  
Ade Banani
Keyword(s):  
Significant Role ◽  
Research Study ◽  
Collective Intelligence ◽  
Marketing Strategies ◽  
Marketing Department ◽  
Future Of Work ◽  
The Future ◽  
Almost All ◽  
Intelligence Approach

There is no doubt that almost all companies recognized the necessity and the significant role of marketing strategies in the development and the progress of any business. However, the challenge still is how to elaborate and create effective marketing strategies? The purpose of this study is to investigate and illustrate how we could create efficient marketing strategies by using the Collective Intelligence approach? Interviews were conducted with marketing department teams; added to participants from other department members and also customers and stakeholders. through three different steps (before, during, and after the use of this approach); in order to provide and discover the feedbacks and results of all participants through the implementation of the Collective Intelligence approach. Following the result; There is a consensus from the participants of this research study confirmed that the use of this new concept of collective intelligence will not only transform the design of the future trajectory of elaboration of marketing strategies but also the future of work. 

Challenges of Fear Conditioning Research in the Age of RDoC

2017 ◽  
Vol 225 (3) ◽  
pp. 189-199 ◽  
Author(s):  
Tina B. Lonsdorf ◽  
Jan Richter
Keyword(s):  
Fear Conditioning ◽  
Clinical Diagnosis ◽  
Research Domain Criteria ◽  
Major Focus ◽  
The Future ◽  
Definition Of ◽  
Methodological Considerations ◽  
Research Domain

Abstract. As the criticism of the definition of the phenotype (i.e., clinical diagnosis) represents the major focus of the Research Domain Criteria (RDoC) initiative, it is somewhat surprising that discussions have not yet focused more on specific conceptual and procedural considerations of the suggested RDoC constructs, sub-constructs, and associated paradigms. We argue that we need more precise thinking as well as a conceptual and methodological discussion of RDoC domains and constructs, their interrelationships as well as their experimental operationalization and nomenclature. The present work is intended to start such a debate using fear conditioning as an example. Thereby, we aim to provide thought-provoking impulses on the role of fear conditioning in the age of RDoC as well as conceptual and methodological considerations and suggestions to guide RDoC-based fear conditioning research in the future.

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