On the Convergence of Artificial Intelligence and Distributed Ledger Technology: A Scoping Review and Future Research Agenda

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.

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Trustworthy artificial intelligence

Electronic Markets ◽

10.1007/s12525-020-00441-4 ◽

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.

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Making personalised short breaks meaningful: a future research agenda to connect academia, policy and practice

Quality in Ageing and Older Adults ◽

10.1108/qaoa-10-2020-0050 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Diane Seddon ◽

Emma Miller ◽

Louise Prendergast ◽

Don Williamson ◽

Joyce Elizabeth Cavaye

Keyword(s):

Older People ◽

Scoping Review ◽

Research Agenda ◽

Well Being ◽

Evidence Base ◽

Future Research ◽

Content Type ◽

Future Research Agenda ◽

Positive Caregiving ◽

What Matters

Purpose There is a growing policy impetus to promote carer well-being through the provision of personalised short breaks. However, understanding of what makes for a successful personalised short break is limited. This paper aims to identify key evidence gaps and considers how these could be addressed. Design/methodology/approach A scoping review mapping the evidence base relevant to respite and short breaks for carers for older people, including those living with dementia, was completed. National and international literature published from 2000 onwards was reviewed. The scoping review focused on well-being outcomes, identified by previous research, as being important to carers. Findings Most studies investigating the outcomes of short breaks for carers supporting older people focus on traditional day and residential respite care. Although there have been developments in more personalised break options for carers, research exploring their impact is scarce. There is limited knowledge about how these personalised breaks might support carers to realise important outcomes, including carer health and well-being; a life alongside caring; positive caregiving relationships; choices in caring; and satisfaction in caring. Three priority lines of inquiry to shape a future research agenda are identified: understanding what matters – evidencing personalised short break needs and intended outcomes; capturing what matters – outcomes from personalised short breaks; and commissioning, delivering and scaling up personalised short breaks provision to reflect what matters. Originality/value This paper contributes to the development of an outcome-focused research agenda on personalised short breaks.

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Artificial intelligence and HRM: identifying future research Agenda using systematic literature review and bibliometric analysis

Management Review Quarterly ◽

10.1007/s11301-021-00249-2 ◽

2021 ◽

Author(s):

Neelam Kaushal ◽

Rahul Pratap Singh Kaurav ◽

Brijesh Sivathanu ◽

Neeraj Kaushik

Keyword(s):

Artificial Intelligence ◽

Literature Review ◽

Bibliometric Analysis ◽

Systematic Literature Review ◽

Research Agenda ◽

Future Research ◽

Future Research Agenda

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The Limits of Ego Depletion

Social Psychology ◽

10.1027/1864-9335/a000365 ◽

2019 ◽

Vol 50 (5-6) ◽

pp. 292-304 ◽

Cited By ~ 2

Author(s):

Mario Wenzel ◽

Marina Lind ◽

Zarah Rowland ◽

Daniela Zahn ◽

Thomas Kubiak

Keyword(s):

Research Agenda ◽

Statistical Power ◽

Interindividual Variability ◽

Ego Depletion ◽

Crossover Design ◽

Effect Sizes ◽

Future Research ◽

Future Research Agenda ◽

Depletion Effect ◽

Within Subjects

Abstract. Evidence on the existence of the ego depletion phenomena as well as the size of the effects and potential moderators and mediators are ambiguous. Building on a crossover design that enables superior statistical power within a single study, we investigated the robustness of the ego depletion effect between and within subjects and moderating and mediating influences of the ego depletion manipulation checks. Our results, based on a sample of 187 participants, demonstrated that (a) the between- and within-subject ego depletion effects only had negligible effect sizes and that there was (b) large interindividual variability that (c) could not be explained by differences in ego depletion manipulation checks. We discuss the implications of these results and outline a future research agenda.

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