Towards Design Principles for User-Centric Explainable AI in Fraud Detection

2021 ◽  
pp. 21-40
Author(s):  
Douglas Cirqueira ◽  
Markus Helfert ◽  
Marija Bezbradica
Keyword(s):  
Fraud Detection ◽  
Design Principles ◽  
Explainable Ai ◽  
User Centric

scholarly journals Scenario-Based Requirements Elicitation for User-Centric Explainable AI

2020 ◽  
pp. 321-341
Author(s):  
Douglas Cirqueira ◽  
Dietmar Nedbal ◽  
Markus Helfert ◽  
Marija Bezbradica
Keyword(s):  
Requirements Elicitation ◽  
Explainable Ai ◽  
User Centric

scholarly journals TOWARDS USER-CENTRIC EXPLANATIONS FOR EXPLAINABLE MODELS: A REVIEW

2021 ◽  
Vol 6 (22) ◽  
pp. 36-50
Author(s):  
Ali Hassan ◽  
Riza Sulaiman ◽  
Mansoor Abdullateef Abdulgabber ◽  
Hasan Kahtan
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Deep Learning ◽  
Review Of The Literature ◽  
Learning Models ◽  
Scientific Interest ◽  
Explainable Ai ◽  
Challenges And Opportunities ◽  
User Centric ◽  
Machine Learning Models

Recent advances in artificial intelligence, particularly in the field of machine learning (ML), have shown that these models can be incredibly successful, producing encouraging results and leading to diverse applications. Despite the promise of artificial intelligence, without transparency of machine learning models, it is difficult for stakeholders to trust the results of such models, which can hinder successful adoption. This concern has sparked scientific interest and led to the development of transparency-supporting algorithms. Although studies have raised awareness of the need for explainable AI, the question of how to meet real users' needs for understanding AI remains unresolved. This study provides a review of the literature on human-centric Machine Learning and new approaches to user-centric explanations for deep learning models. We highlight the challenges and opportunities facing this area of research. The goal is for this review to serve as a resource for both researchers and practitioners. The study found that one of the most difficult aspects of implementing machine learning models is gaining the trust of end-users.

Design Principles for Robust Fraud Detection: The Case of Stock Market Manipulations

2021 ◽  
Vol 22 (1) ◽  
pp. 156-178
Author(s):  
Michael Siering ◽  
◽  
Jan Muntermann ◽  
Miha Grčar ◽  
◽  
...  
Keyword(s):  
Stock Market ◽  
Fraud Detection ◽  
Design Principles

A peek in the micro-sized world: a review of design principles, engineering tools, and applications of engineered microbial community

2020 ◽  
Vol 48 (2) ◽  
pp. 399-409
Author(s):  
Baizhen Gao ◽  
Rushant Sabnis ◽  
Tommaso Costantini ◽  
Robert Jinkerson ◽  
Qing Sun
Keyword(s):  
Microbial Community ◽  
Microbial Communities ◽  
Environmental Remediation ◽  
Real Life ◽  
Design Principles ◽  
Microbial Interactions ◽  
Potential Applications ◽  
New Gene ◽  
Global Biogeochemical Cycles ◽  
Synthetic Microbial Communities

Microbial communities drive diverse processes that impact nearly everything on this planet, from global biogeochemical cycles to human health. Harnessing the power of these microorganisms could provide solutions to many of the challenges that face society. However, naturally occurring microbial communities are not optimized for anthropogenic use. An emerging area of research is focusing on engineering synthetic microbial communities to carry out predefined functions. Microbial community engineers are applying design principles like top-down and bottom-up approaches to create synthetic microbial communities having a myriad of real-life applications in health care, disease prevention, and environmental remediation. Multiple genetic engineering tools and delivery approaches can be used to ‘knock-in' new gene functions into microbial communities. A systematic study of the microbial interactions, community assembling principles, and engineering tools are necessary for us to understand the microbial community and to better utilize them. Continued analysis and effort are required to further the current and potential applications of synthetic microbial communities.

Speeding-Up Innovation with Business Hackathons

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Myrna FLORES ◽  
Matic GOLOB ◽  
Doroteja MAKLIN ◽  
Christopher TUCCI
Keyword(s):  
United Kingdom ◽  
Open Innovation ◽  
Entrepreneurial Ecosystems ◽  
The United Kingdom ◽  
Short Period ◽  
User Centric ◽  
Specific Challenge ◽  
Innovation Outcomes ◽  
The Way

In recent years, the way organizations innovate and develop new solutions has changed considerably. Moving from ‘behind the closed doors’ style of innovating to open innovation where collaboration with outsiders is encouraged, organizations are in the pursuit of more effective ways to accelerate their innovation outcomes. As a result, organizations are establishing creative and entrepreneurial ecosystems, which not only empower employees but also involve many others to co-create new solutions. In this paper, we present a methodology for organizing hackathons, i.e. competition-based events where small teams work over a short period of time to ideate, design, prototype and test their ideas following a user-centric approach to solve a specific challenge. This paper also provides insights into two different hackathons organized in the United Kingdom, and Mexico, as well as a series of 5 hackathons organized in Argentina, Mexico, Switzerland, United Kingdom and in Senegal.

A design contribution to the entrepreneurial experience

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Juan David ROLDAN ACEVEDO ◽  
Ida TELALBASIC
Keyword(s):  
Product Development ◽  
Qualitative Analysis ◽  
Design Research ◽  
Recent Literature ◽  
Early Stage ◽  
Entrepreneurial Activity ◽  
Value Proposition ◽  
Structured Interviews ◽  
User Centric ◽  
Constant Growth

In recent history, different design approaches have been entering fields like management and strategy to improve product development and service delivery. Specifically, entrepreneurship has adopted a user-centric mindset in methodologies like the business canvas model and the value proposition canvas which increases the awareness of the users’ needs when developing solutions. What happens when a service design approach is used to understand the entrepreneurs’ experience through the creation of their startups? Recent literature suggests that entrepreneurial activity and success is conditioned by their local entrepreneurship ecosystem. This study investigates the Entrepreneurship Ecosystem of Medellín, Colombia - an ecosystem in constant growth but that lacks qualitative analysis. The sample consists of 12 entrepreneurs in early-stage phase. The data was gathered with two design research methods: Cultural Probes and Semi-structured interviews. The analysis of the information collected facilitated the development of 4 insights about the entrepreneurs and an experience map to visualise and interpret their journey to create a startup. The results of this study reflected the implications of the ecosystem, the explanation of the users’ perceptions and awareness and propose a set of ideas to the local government to improve the experience of undertaking a startup in Medellín.

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