Available to meet: advances in professional communications

2020 ◽  
Vol 33 (6) ◽  
pp. 1543-1553
Author(s):  
E. Burton Swanson
Keyword(s):  
Artificial Intelligence ◽  
Social Interaction ◽  
Design Methodology ◽  
Design Approach ◽  
Content Type ◽  
Social Conventions ◽  
Organizational Identities ◽  
Current Design ◽  
The Face ◽  
Industrial Strength

PurposeThis viewpoint paper calls in to question the current design approach to personal artificial intelligence (AI) assistance in support of everyday professional communications, where a bot emulates a human in this role. It aims to stimulate fresh thought among designers and users of this technology. It also calls upon scholars to more widely share incidental insights that arise in their own encounters with such new AI.Design/methodology/approachThe paper employs a case of an email exchange gone wrong to demonstrate the current failings of personal AI assistance in support of professional communications and to yield broader insights into bot design and use. The viewpoint is intended to provoke discussion.FindingsFrom the case, it is indicated that industrial-strength personal AI assistance is not here yet. Designing a personal AI assistant to emulate a human is found to be deeply problematic, in particular. The case illuminates what might be called the problem of blinded agency, in performative contexts where human, robotic and organizational identities are at least partially masked and actions, inactions and intentions can too easily disappear in a thick fog of digital exchange. The problem arises where parties must act in contexts not known to each other, and where who is responsible for what in a mundane exchange is obscured (intentionally or not) by design or by actions (or inactions) of the parties. An insight is that while humans act with a sense of agency to affect outcomes that naturally invoke a corresponding sense of responsibility for what transpires, bots in social interaction simply act and feign responsibility as they have no sense of it beyond their code and data. A personal AI assistant is probably best designed to communicate its artificiality clearly. Missing today are distinctive social conventions for identifying machine agency in everyday interactions as well as an accepted etiquette for AI deployment in these settings.Originality/valueAs a viewpoint contribution, the paper's value is as a stimulant to discussion of alternate approaches to design and use of personal AI assistance in professional communications and where we should be going with this. The presented case of an email exchange gone wrong is simple on the face of it but reveals in its examination a number of complexities and broader insights.

Embracing the role of artificial intelligence in accounting and finance: contemplating the changing skillset expectations

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bhumika Gambhir ◽  
Anindita Bhattacharjee
Keyword(s):  
Artificial Intelligence ◽  
United Arab Emirates ◽  
Design Methodology ◽  
Learning And Development ◽  
Content Type ◽  
The Future ◽  
Challenges And Opportunities ◽  
The Face ◽  
Practical Implications

Purpose The purpose of this paper is to highlight how Artificial intelligence (AI) and its subsets are changing the face of the accounting and finance (A&F) profession. Expectations from A&F professionals are changing due to the expeditious changes in technology. This paper proposes new skill set expectations from these professionals. Design/methodology/approach This is a viewpoint paper based on the opinions/views of the employees working in medium and large organizations in A&F in the United Arab Emirates (UAE). The employee viewpoints were gathered through an emailed questionnaire. Findings This paper illustrates the need to embrace technology and acquire the necessary skills to work in conjunction with machines. This will help A&F professionals to meet the changing expectations of employers. Practical implications This paper emphasizes the usefulness of training, learning, and development of the skills necessary for A&F professionals to work with AI and its subsets. Originality/value This paper discusses how AI will bring in challenges and opportunities in the future. It suggests how A&F professionals can embrace technology (driven by AI) and understand to work with it.

Autonomous vehicles: a review of the ethical, social and economic implications of the AI revolution

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shweta Banerjee
Keyword(s):  
Artificial Intelligence ◽  
Autonomous Vehicles ◽  
Design Methodology ◽  
Technological Advancement ◽  
Economic Implications ◽  
Content Type ◽  
The Public ◽  
Autonomous Cars ◽  
The Subject ◽  
Practical Implications

PurposeThere are ethical, legal, social and economic arguments surrounding the subject of autonomous vehicles. This paper aims to discuss some of the arguments to communicate one of the current issues in the rising field of artificial intelligence.Design/methodology/approachMaking use of widely available literature that the author has read and summarised showcasing her viewpoints, the author shows that technology is progressing every day. Artificial intelligence and machine learning are at the forefront of technological advancement today. The manufacture and innovation of new machines have revolutionised our lives and resulted in a world where we are becoming increasingly dependent on artificial intelligence.FindingsTechnology might appear to be getting out of hand, but it can be effectively used to transform lives and convenience.Research limitations/implicationsFrom robotics to autonomous vehicles, countless technologies have and will continue to make the lives of individuals much easier. But, with these advancements also comes something called “future shock”.Practical implicationsFuture shock is the state of being unable to keep up with rapid social or technological change. As a result, the topic of artificial intelligence, and thus autonomous cars, is highly debated.Social implicationsThe study will be of interest to researchers, academics and the public in general. It will encourage further thinking.Originality/valueThis is an original piece of writing informed by reading several current pieces. The study has not been submitted elsewhere.

Sprawl of the COVID-19 in changing scenario: a methodology based on social interaction

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gaurav Kumar ◽  
Akshay Kumar ◽  
Farhan Mohammad Khan ◽  
Rajiv Gupta
Keyword(s):  
Social Interaction ◽  
Design Methodology ◽  
Mitigation Strategy ◽  
Recent Past ◽  
Scenario Development ◽  
Worst Case ◽  
Content Type ◽  
Management Scheme ◽  
Business As Usual ◽  
Inter State

PurposeThere are several methods developed in the recent past to predict the spread of COVID-19 in different countries. However, due to changing scenarios in terms of interaction among people, none could predict the case close to the actual figures. An attempt to simulate people's interaction due to economic reopening concerning the confirmed cases at various places as per changing situation has been made. The scenario development method's base lies in the hypothesis that if there were no inter-state transportation during India's lockdown after May 24th, the number of infection cases would have started lowering down in a normalized progression.Design/methodology/approachThis study has developed three scenarios from the worst to the business-as-usual to the best in order to project the COVID-19 infections in India concerning infections observed from January 30th till May 24th, 2020, since the domestic flights became operational from May 25th, 2020, in India.FindingsBased on the observed cases till May 24th, the rise of cases is projected further in a random progression and superimposed to the normal progression. The results obtained in the three scenarios present that worst case needs complete lockdown, business-as-usual case needs regulatory lockdown and best case assures complete lockdown release by the second week of September 2020. This study suggests the preparedness and mitigation strategy for a threefold lockdown management scheme in all-inclusive.Originality/valueThe work has been done on a hypothesis which is solely original.

Intention to use analytical artificial intelligence (AI) in services – the effect of technology readiness and awareness

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Carlos Flavián ◽  
Alfredo Pérez-Rueda ◽  
Daniel Belanche ◽  
Luis V. Casaló
Keyword(s):  
Artificial Intelligence ◽  
Technology Adoption ◽  
Design Methodology ◽  
Technology Readiness ◽  
Intention To Use ◽  
Content Type ◽  
Financial Investment ◽  
Managerial Implications ◽  
Barriers To Technology

PurposeThe automation of services is rapidly growing, led by sectors such as banking and financial investment. The growing number of investments managed by artificial intelligence (AI) suggests that this technology-based service will become increasingly popular. This study examines how customers' technology readiness and service awareness affect their intention to use analytical AI investment services.Design/methodology/approachThe automation of services is rapidly growing, led by sectors such as banking and financial investment. The growing number of investments managed by AI suggests that this technology-based service will become increasingly popular. This study examines how customers' technology readiness and service awareness affect their intention to use analytical AI investment services.FindingsThe results indicated that customers' technological optimism increases, and insecurity decreases, their intention to use robo-advisors. Surprisingly, feelings of technological discomfort positively influenced robo-advisor adoption. This interesting finding challenges previous insights into technology adoption and value co-creation as analytical AI puts customers into a very passive role and reduces barriers to technology adoption. The research also analyzes how consumers become aware of robo-advisors, and how this influences their acceptance.Originality/valueThis is the first study to analyze the role of customers' technology readiness in the adoption of analytical AI. The authors link the findings to previous technology adoption and automated services' literature and provide specific managerial implications and avenues for further research.

Global studies means forward-looking

2014 ◽  
Vol 31 (2/3) ◽  
pp. 78-81 ◽  
Author(s):  
Gilbert Ahamer
Keyword(s):  
Design Methodology ◽  
Information Technologies ◽  
Global Studies ◽  
Content Type ◽  
Global Evolution ◽  
The Face ◽  
Care Information ◽  
Social Entities ◽  
Political Realities ◽  
Forward Looking

Purpose – The purpose of this paper is to show, in a practical manner, that discursive procedures (mediated by online platforms or publication systems) enhance cultural understanding of distinct social entities such as Europe and Russia. Design/methodology/approach – Joint special issues convening authors from east and west in an equilibrated manner give an opportunity for in-depth review processes, in the course of which different paradigms of global evolution are perceived and reflected. Findings – If handled with care, information technologies are able to strongly support such stepwise consensus finding. The areas of futurology, forward looking, global megatrends, global evolution, globalistics and global studies are prime cases for the patient alignment of world views and multi-paradigmatic approach towards (ultimately) holistic and second-order science. Originality/value – Even in the face of diverse political realities a series of conferences, lectures and web-supported exercises for the authoring of articles are able to consistently merge actors in academia and policy consulting.

Software documentation is not enough! Requirements for the documentation of AI

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Florian Königstorfer ◽  
Stefan Thalmann
Keyword(s):  
Artificial Intelligence ◽  
Business Process ◽  
Design Methodology ◽  
Governance Mechanism ◽  
It Industry ◽  
Specific Nature ◽  
Content Type ◽  
Software Documentation ◽  
Disruptive Technologies ◽  
Present Information

Purpose Artificial intelligence (AI) is currently one of the most disruptive technologies and can be applied in many different use cases. However, applying AI in regulated environments is challenging, as it is currently not clear how to achieve and assess the fairness, accountability and transparency (FAT) of AI. Documentation is one promising governance mechanism to ensure that AI is FAT when it is applied in practice. However, due to the nature of AI, documentation standards from software engineering are not suitable to collect the required evidence. Even though FAT AI is called for by lawmakers, academics and practitioners, suitable guidelines on how to document AI are not available. This interview study aims to investigate the requirements for AI documentations. Design/methodology/approach A total of 16 interviews were conducted with senior employees from companies in the banking and IT industry as well as with consultants. The interviews were then analyzed using an informed-inductive coding approach. Findings The authors found five requirements for AI documentation, taking the specific nature of AI into account. The interviews show that documenting AI is not a purely technical task, but also requires engineers to present information on how the AI is understandably integrated into the business process. Originality/value This paper benefits from the unique insights of senior employees into the documentation of AI.

Quantifying human resource management: a literature review

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Clotilde Coron
Keyword(s):  
Artificial Intelligence ◽  
Resource Management ◽  
Literature Review ◽  
Human Resource Management ◽  
Human Resource ◽  
Design Methodology ◽  
Theoretical Framework ◽  
Data Sources ◽  
Content Type

PurposeWith a focus on the evolution of human resource management (HRM) quantification over 2000–2020, this study addresses the following questions: (1) What are the data sources used to quantify HRM? (2) What are the methods used to quantify HRM? (3) What are the objectives of HRM quantification? (4) What are the representations of quantification in HRM?Design/methodology/approachThis study is based on an integrative synthesis of 94 published peer-reviewed empirical and non-empirical articles on the use of quantification in HRM. It uses the theoretical framework of the sociology of quantification.FindingsThe analysis shows that there have been several changes in HRM quantification over 2000–2020 in terms of data sources, methods and objectives. Meanwhile, representations of quantification have evolved relatively little; it is still considered as a tool, and this ignores the possible conflicts and subjectivity associated with the use of quantification.Originality/valueThis literature review addresses the use of quantification in HRM in general and is thus larger in scope than previous reviews. Notably, it brings forth new insights on possible differences between the main uses of quantification in HRM, as well as on artificial intelligence and algorithms in HRM.

Impact of AI regulation on intention to use robots

2019 ◽  
Vol 8 (2) ◽  
pp. 97-114
Author(s):  
Sheshadri Chatterjee
Keyword(s):  
Quality Of Life ◽  
Artificial Intelligence ◽  
Design Methodology ◽  
Regulatory Control ◽  
Control Beliefs ◽  
Intention To Use ◽  
Content Type ◽  
And Control ◽  
The Impact

Purpose The purpose of this paper is to identify the factors influencing the citizens to use robots that would improve the quality of life of the citizens. Design/methodology/approach With the help of different adoption theories and models and with the support of background studies, some hypotheses have been formulated and a conceptual model has been developed with the consideration of the impact of artificial intelligence regulation (IAR) that controls the use of robots as a moderator. The model has been validated and the hypotheses have been tested by statistical analysis with the help of survey works involving consideration of feedbacks from 503 usable respondents. Findings The study reveals that the use of robots by the citizens would appreciably increase if government imposes strict artificial intelligence (AI) regulatory control concerning the use of robots, and in that case, it appears that the use of robots would improve the quality of life of the citizens. Research limitations/implications The duly validated model would help the authority to appropriately nurse and nurture the factors such as ethical dilemma, perceived risks and control beliefs for enhancing the intention of the citizens to use robots for many purposes including domestic usage in the context of appropriate restrictions imposed through AI regulation. Such use of robots would eventually improve the quality of life. Originality/value There are a few studies covering analysis of IAR as a moderator on the linkages of the predictors with the intention of the citizens to use robots. In this context, this study is claimed to have offered a novel contribution.

Working in contexts for which transparency is important

2020 ◽  
Vol 30 (2) ◽  
pp. 143-153
Author(s):  
Jenny Bunn
Keyword(s):  
Artificial Intelligence ◽  
Design Methodology ◽  
Content Type ◽  
Explainable Artificial Intelligence ◽  
Reflective Approach ◽  
The Way

Purpose This paper aims to introduce the topic of explainable artificial intelligence (XAI) and reports on the outcomes of an interdisciplinary workshop exploring it. It reflects on XAI through the frame and concerns of the recordkeeping profession. Design/methodology/approach This paper takes a reflective approach. The origins of XAI are outlined as a way of exploring how it can be viewed and how it is currently taking shape. The workshop and its outcomes are briefly described and reflections on the process of investigating and taking part in conversations about XAI are offered. Findings The article reinforces the value of undertaking interdisciplinary and exploratory conversations with others. It offers new perspectives on XAI and suggests ways in which recordkeeping can productively engage with it, as both a disruptive force on its thinking and a set of newly emerging record forms to be created and managed. Originality/value The value of this paper comes from the way in which the introduction it provides will allow recordkeepers to gain a sense of what XAI is and the different ways in which they are both already engaging and can continue to engage with it.

A new dimension for deployment

2019 ◽  
Vol 35 (6) ◽  
pp. 21-23
Keyword(s):  
Case Studies ◽  
Design Methodology ◽  
Reading Time ◽  
Cutting Edge ◽  
Content Type ◽  
Commercial Use ◽  
Course Of Action ◽  
The Face ◽  
Pertinent Information ◽  
Practical Implications

Purpose This paper aims to review the latest management developments across the globe and pinpoints the practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings There is often a disconnect between science and business that is hard to fathom. Sometimes, of course, it is easy to see why two parties can seem so far apart – the scientist in search of truth and uninterested in any practical or commercial use of an invention – the industrialist who is dedicated to one course of action and unwilling to learn from research, which can prove it is the wrong one. Both people are as guilty as each other of missing what is staring them in the face. And yet, this dogged pursuit of a single goal is what represents them and perhaps enables them to more successful than other at what they choose to do. Originality/value The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

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