Aug 2026· Zenodo (CERN European Organization for Nuclear Research)
FinTech, Crowdfunding, Digital Finance
Abstract
The goal of financial inclusion has become very important for both governments as well as organizations trying to lessen poverty and encourage social and economic development. Although there have been considerable advances in the financial sector worldwide yet there are still millions of people throughout the world without banking services or efficient bank services being available to them, which prevents them from gaining access to the financial services they need to execute financial transactions in their daily lives. The role of Fintech solutions in solving financial inclusion issues is also pretty significant due to their ability to employ technologies in providing affordable, accessible, and user-friendly banking services for people. Thus, mobile banking, e-wallets, and online loan platforms as well as the use of biometric identification, artificial intelligence, and blockchain technology enable the financial services providers to reach unbanked population segments including those living in rural and isolated areas where regular banks cannot provide financial services. Fintech plays an important role in attaining financial inclusion as it streamlines transactions and increases accessibility by making transactions cheap, allows for easy opening of new accounts, facilitates digital payments and provides personalized products. Fintech gives opportunities not only for individuals but also for small businesses to engage in the formal financial sector which leads to both enhanced economic activities and promotion of entrepreneurship for the sake of inclusive growth. However, fintech advancement has raised some issues, like cybersecurity, digital inclusiveness, protection of consumers and compliant among authorities. Solutions to the aforementioned challenges reflect cooperation of the government, financial institutions, technology providers, and regulatory bodies in dealing with the development of safe and fair financial ecosystems. This article discusses the role fintech plays in improving financial inclusion, analyzes the pros and cons of fintech implementation as well as analyzes the prospects of extending financial services to unbanked individuals through digital technology.
GAOKAO-Bench is introduced, an intuitive benchmark that employs questions from the Chinese GAOKAO examination as test samples, including both subjective and objective questions that contribute a robust evaluation benchmark for future large language models and offers valuable insights into the advantages and limitations of such models.
Xiaotian Zhang, Chun-yan Li, Yi Zong et al.· arXiv.org· 216 citations· ⚡17
Various recent Artificial Intelligence (AI) system failures, some of which have made the global headlines, have highlighted issues in these systems. These failures have resulted in calls for more ethical AI systems that better take into account their effects on various stakeholders. However, implementing AI ethics into practice is still an on-going challenge. High-level guidelines for doing so exist, devised by governments and private organizations alike, but lack practicality for developers. To address this issue, in this paper, we present a method for implementing AI ethics. The method, ECCOLA, has been iteratively developed using a cyclical action design research approach. The method aims at making the high-level AI ethics principles more practical, making it possible for developers to more easily implement them in practice.
Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson· EUROMICRO Conference on Soft...· 64 citations· ⚡6
This paper designs Markov decision processes (MDPs) for different combinatorial problems and proposes to train conditional GFlowNets to sample from the solution space and demonstrates that GFlowNet policies can efficiently find high-quality solutions.
Dinghuai Zhang, H. Dai, Esmeralda S. Whitammer et al.· Advances in Neural Informati...· 59 citations· ⚡8
Progress in the field of artificial intelligence has been accelerating rapidly in the past two decades. Various autonomous systems from purely digital ones to autonomous vehicles are being developed and deployed out on the field. As these systems exert a growing impact on society, ethics in relation to artificial intelligence and autonomous systems have recently seen growing attention among the academia. However, the current literature on the topic has focused almost exclusively on theory and more specifically on conceptualization in the area. To widen the body of knowledge in the area, we conduct an empirical study on the current state of practice in artificial intelligence ethics. We do so by means of a multiple case study of five case companies, the results of which indicate a gap between research and practice in the area. Based on our findings we propose ways to tackle the gap.
Ville Vakkuri, Kai-Kristian Kemell, Joni Kultanen et al.· arXiv.org· 56 citations· ⚡6
The growing influence and decision-making capacities of Autonomous systems and Artificial Intelligence in our lives force us to consider the values embedded in these systems. But how ethics should be implemented into these systems? In this study, the solution is seen on philosophical conceptualization as a framework to form practical implementation model for ethics of AI. To take the first steps on conceptualization main concepts used on the field needs to be identified. A keyword based Systematic Mapping Study (SMS) on the keywords used in AI and ethics was conducted to help in identifying, defying and comparing main concepts used in current AI ethics discourse. Out of 1062 papers retrieved SMS discovered 37 re-occurring keywords in 83 academic papers. We suggest that the focus on finding keywords is the first step in guiding and providing direction for future research in the AI ethics field.
Ville Vakkuri, P. Abrahamsson· International Conference on...· 39 citations· ⚡2
Artificial Intelligence (AI) systems exert a growing influence on our society. As they become more ubiquitous, their potential negative impacts also become evident through various real-world incidents. Following such early incidents, academic and public discussion on AI ethics has highlighted the need for implementing ethics in AI system development. However, little currently exists in the way of frameworks for understanding the practical implementation of AI ethics. In this paper, we discuss a research framework for implementing AI ethics in industrial settings. The framework presents a starting point for empirical studies into AI ethics but is still being developed further based on its practical utilization.
Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson· Conference on Technology Eth...· 27 citations· ⚡3
