scholarly journals Exploring the Next Wave of Blockchain and Distributed Ledger Technology: The Overlooked Potential of Scenario Analysis

2021 ◽  
Vol 13 (7) ◽  
pp. 183
Author(s):  
Horst Treiblmaier
Keyword(s):  
Scenario Analysis ◽  
Academic Research ◽  
Future Research ◽  
Future Developments ◽  
Current Trends ◽  
Distributed Ledger ◽  
Distributed Ledger Technology ◽  
Ideal Tool ◽  
Uncertain Future ◽  
The Ideal

Blockchain is predicted to disrupt industries, economies, and societies. The properties of distributed ledgers allow the creation of immutable data structures that facilitate shared access in real time and enable a plethora of innovative applications. However, blockchain is not a uniform technology but rather a bundle of evolving components whose implications are notoriously hard to predict. At present, it is not clear how current trends will evolve, with technical evolution, legislation, and public policy being three contingency factors that make ongoing disruptive transformations particularly hard to predict. In light of blockchain’s potential disruptive impact, it is surprising that scenario analysis has hitherto been largely ignored in academic research. Therefore, in this paper, we introduce the technique, clarify several misconceptions, and provide examples illustrating how this method can help to overcome the limitations of existing technology impact research. We conclude that if applied correctly, scenario analysis represents the ideal tool to rigorously explore uncertain future developments and to create a comprehensive foundation for future research.

scholarly journals Enabling Trustworthiness in Artificial Intelligence - A Detailed Discussion

2015 ◽  
Vol 3 (2) ◽  
pp. 105-114 ◽  
Author(s):  
Siddhartha Vadlamudi ◽  
Keyword(s):  
Artificial Intelligence ◽  
Data Driven ◽  
Future Research ◽  
Specific Task ◽  
Maximum Capacity ◽  
Digital Devices ◽  
Distributed Ledger ◽  
Distributed Ledger Technology ◽  
Set Up ◽  
The Stability

Artificial intelligence (AI) delivers numerous chances to add to the prosperity of people and the stability of economies and society, yet besides, it adds up a variety of novel moral, legal, social, and innovative difficulties. Trustworthy AI (TAI) bases on the possibility that trust builds the establishment of various societies, economies, and sustainable turn of events, and that people, organizations, and societies can along these lines just at any point understand the maximum capacity of AI, if trust can be set up in its development, deployment, and use. The risks of unintended and negative outcomes related to AI are proportionately high, particularly at scale. Most AI is really artificial narrow intelligence, intended to achieve a specific task on previously curated information from a certain source. Since most AI models expand on correlations, predictions could fail to sum up to various populations or settings and might fuel existing disparities and biases. As the AI industry is amazingly imbalanced, and experts are as of now overpowered by other digital devices, there could be a little capacity to catch blunders. With this article, we aim to present the idea of TAI and its five essential standards (1) usefulness, (2) non-maleficence, (3) autonomy, (4) justice, and (5) logic. We further draw on these five standards to build up a data-driven analysis for TAI and present its application by portraying productive paths for future research, especially as to the distributed ledger technology-based acknowledgment of TAI.

scholarly journals A bibliometric analysis of research on surrogacy: Current trends and gaps between international law and new technology

2021 ◽  
Vol 10 (2) ◽  
pp. 333
Author(s):  
Waldimeiry Correa da Silva
Keyword(s):  
International Law ◽  
Bibliometric Analysis ◽  
New Technology ◽  
Academic Research ◽  
Global Market ◽  
Future Research ◽  
Surrogate Motherhood ◽  
Current Trends ◽  
Impact Of Technology ◽  
The Impact

Surrogacy or surrogate motherhood is a global phenomenon that has been on the rise since the 1980s. Academic research on surrogacy has adapted to the emerging challenges of this practice by becoming vast and highly multidisciplinary. To orient future research, we employ a bibliometric analysis to make a radiograph of past and current trends in the surrogacy literature. Our results indicate that (1) despite surrogacy being a global market, perspectives from economics and international law are being neglected; (2) research is not addressing the most concerning issues for policy, such as exploitation or human trafficking and the impact of technologies for the protection of the rights of the parties involved; and (3) surrogacy literature output is largely clustered in a handful of Western countries. Taken together, these results point to a huge gap between research and policy. Future research should address these neglected issues to better inform policy makers and the impact of technology on the law.

scholarly journals Trustworthy artificial intelligence

2020 ◽  
Author(s):  
Scott Thiebes ◽  
Sebastian Lins ◽  
Ali Sunyaev
Keyword(s):  
Artificial Intelligence ◽  
Sustainable Development ◽  
Data Driven ◽  
Future Research ◽  
Full Potential ◽  
Research Framework ◽  
Distributed Ledger ◽  
Distributed Ledger Technology

Abstract Artificial intelligence (AI) brings forth many opportunities to contribute to the wellbeing of individuals and the advancement of economies and societies, but also a variety of novel ethical, legal, social, and technological challenges. Trustworthy AI (TAI) bases on the idea that trust builds the foundation of societies, economies, and sustainable development, and that individuals, organizations, and societies will therefore only ever be able to realize the full potential of AI, if trust can be established in its development, deployment, and use. With this article we aim to introduce the concept of TAI and its five foundational principles (1) beneficence, (2) non-maleficence, (3) autonomy, (4) justice, and (5) explicability. We further draw on these five principles to develop a data-driven research framework for TAI and demonstrate its utility by delineating fruitful avenues for future research, particularly with regard to the distributed ledger technology-based realization of TAI.

Blockchain: Emergent Industry Adoption and Implications for Accounting

2017 ◽  
Vol 14 (2) ◽  
pp. 91-100 ◽  
Author(s):  
Julia Kokina ◽  
Ruben Mancha ◽  
Dessislava Pachamanova
Keyword(s):  
Future Research ◽  
Initial Examination ◽  
Accounting Firms ◽  
Accounting Practice ◽  
Distributed Ledger ◽  
Distributed Ledger Technology

ABSTRACT Blockchain is a distributed ledger technology poised to transform the accounting practice. In this paper, we provide an initial examination of the technology itself and discuss the associated opportunities and limitations. We also present an overview of the current blockchain-related practices in large accounting firms and trace significant milestones in this technology's emergence. Finally, we discuss some potential areas that future research could address.

scholarly journals Organizational Building Blocks for Blockchain Governance: A Survey of 241 Blockchain White Papers

2021 ◽  
Vol 4 ◽  
Author(s):  
Petri Honkanen ◽  
Mats Nylund ◽  
Magnus Westerlund
Keyword(s):  
Empirical Data ◽  
Building Blocks ◽  
Organizational Structures ◽  
Research Field ◽  
Future Research ◽  
Data Governance ◽  
Blockchain Technology ◽  
Distributed Ledger ◽  
Distributed Ledger Technology ◽  
Governance Systems

Governance for centralized organizational structures has long roots and well-developed frameworks, including for various specialty areas, such as IT or data governance. However, the introduction of blockchain technology as a supportive tool for implementing decentralized organizations requires a renewed focus for research in the area. The paper utilizes empirical data from blockchain ecosystems in the form of white papers (public communique of intention) to analyze their governance intentions. The empirical findings are based on a review of 241 blockchains and distributed ledger technology white papers, out of which 67 include explicit descriptions of how governance should be organized in the ecosystem. Our empirical research distinguishes between three categories of governance: objectives, mechanisms, and stakeholders. We further identify 28 features for these categories, which are described in an open encoding format. Hence, the paper contributes to the emerging blockchain research field, particularly to the decentralized aspects of blockchain governance research. This research also reveals that blockchain governance does not receive the attention it should as a large majority of ecosystems have not disclosed their governance intentions. The results can be utilized as a framework for future research. The results can also be helpful for industry when designing and developing governance systems.

Designing a creative programming unit within the elementary school core curriculum

2020 ◽  
Author(s):  
Yumiko Murai ◽  
Ryohei Ikejiri ◽  
Yuhei Yamauchi ◽  
Ai Tanaka ◽  
Seiko Nakano
Keyword(s):  
Core Curriculum ◽  
Design Research ◽  
Empirical Studies ◽  
School Curriculum ◽  
Educational Design ◽  
Current Trends ◽  
Educational Design Research ◽  
Creative Learning ◽  
Uncertain Future ◽  
The Impact

Cultivating children’s creativity and imagination is fundamental to preparing them for an increasingly complex and uncertain future. Engaging in creative learning enables children to think independently and critically, work cooperatively, and take risks while actively engaging in problem solving. While current trends in education, such as maker movements and computer science education, are dramatically expanding children’s opportunities for engagement in creative learning, comparatively few empirical studies explore how creative learning can be integrated into the school curriculum. The educational design research described in this paper focuses on a curriculum unit that enables students to engage with creative learning through computer programming activities while meeting curriculum goals. The data provided in this paper were drawn from three classroom tryouts, the results of which were used to drive an iterative design process. This paper also shares several insights on the impact of creative learning in curriculum teaching.

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