scholarly journals Artificial Intelligence and Bank Soundness: Between the Devil and the Deep Blue Sea - Part 2

Author(s):  
Charmele Ayadurai ◽  
Sina Joneidy

Banks have experienced chronic weaknesses as well as frequent crisis over the years. As bank failures are costly and affect global economies, banks are constantly under intense scrutiny by regulators. This makes banks the most highly regulated industry in the world today. As banks grow into the 21st century framework, banks are in need to embrace Artificial Intelligence (AI) to not only to provide personalized world class service to its large database of customers but most importantly to survive. The chapter provides a taxonomy of bank soundness in the face of AI through the lens of CAMELS where C (Capital), A(Asset), M(Management), E(Earnings), L(Liquidity), S(Sensitivity). The taxonomy partitions challenges from the main strand of CAMELS into distinct categories of AI into 1(C), 4(A), 17(M), 8 (E), 1(L), 2(S) categories that banks and regulatory teams need to consider in evaluating AI use in banks. Although AI offers numerous opportunities to enable banks to operate more efficiently and effectively, at the same time banks also need to give assurance that AI ‘do no harm’ to stakeholders. Posing many unresolved questions, it seems that banks are trapped between the devil and the deep blue sea for now.


Author(s):  
Charmele Ayadurai ◽  
Sina Joneidy

Banks soundness plays a crucial role in determining economic prosperity. As such, banks are under intense scrutiny to make wise decisions that enhances bank stability. Artificial Intelligence (AI) plays a significant role in changing the way banks operate and service their customers. Banks are becoming more modern and relevant in people’s life as a result. The most significant contribution of AI is it provides a lifeline for bank’s survival. The chapter provides a taxonomy of bank soundness in the face of AI through the lens of CAMELS where C (Capital), A(Asset), M(Management), E(Earnings), L(Liquidity), S(Sensitivity). The taxonomy partitions opportunities from the main strand of CAMELS into distinct categories of 1 (C), 6(A), 17(M), 16 (E), 3(L), 6(S). It is highly evident that banks will soon extinct if they do not embed AI into their operations. As such, AI is a done deal for banks. Yet will AI contribute to bank soundness remains to be seen.



Author(s):  
Galina Semeko ◽  

The article deals with the problems of using artificial intelligence technologies in the banking sector in the world in general and in Russia in particular. Characterizes the potential of artificial intelligence technologies and their role in increasing the competitiveness of banks in the face of in Creasing competition from new high-tech financial providers. Presentes an analysis of the factors hampering the introduction of artificial intelligence technologies in banks.



Author(s):  
Sonja Arndt ◽  
Søren Smedegaard Bengtsen ◽  
Carl Mika ◽  
Rikke Toft Nørgård

AbstractBeyond knowledge, critical thinking, new ideas, rigorous science and scholarly development, this chapter argues for the university as a space of life. Through the complexities and incommensurabilities of academic life, and drawing on Julia Kristeva’s notion of revolt, Emmanuel Levinas’ notion of Otherness, and Novalis’ concept of Romantisierung, it makes a philosophical argument for recognizing what might appear as uncomfortable transgressions of the marketable, measurable characteristics of World Class Universities. In various ways, the chapter asks where there is space, in the World Class University, for elements which may not overtly align with the neoliberal clamour for international recognition and esteem. In elevating everyday life in the university, the chapter blurs boundaries of the celebrated, strived for rankings with the spaces of life that are dark and heterotopic, messily entangled with histories, polyphonic human and more than human voice, beings and energies, within the university. Revolt provokes a re-turn to re-question the ethics and boundaries of treatments of ‘world’ and ‘class’ in conceptions of the World Class University. Here, ‘World Class University’ is not necessarily a globally streamlined and internationally bench-marked institution, flexing its socio-economic muscles in the face of the world. Instead, it is an institution that speaks for others who have been made silent and deprived of their own critical voice. It speaks for the suppressed and marginalized, and it speaks for the ones who are no longer with us, or who have not yet arrived. It speaks for the people and the times yet to come.



2021 ◽  
Vol 9 (205) ◽  
pp. 1-17
Author(s):  
Daniele Rodrigues Alves da Silva

We are living in a liquid world, we are inundated daily by hundreds of information, new technologies are made available to the great mass at a frequency never seen before, we are watched by algorithms that learn more and more with us. Much is discussed about the extinction of professions, considered essential, such as doctors, lawyers and teachers, which are already being replaced by artificial intelligence efficiently. In this scenario, what will be the skills of the professional who will stand out in the job market? How can this professional remain necessary in the face of more effective and efficient substitution by automation and algorithms? Essentially human skills, that are the most difficult to be replicated by machines, which involve empathy, ethics, collaboration are among the most valued,according to a report by the World Economic Forum about the future of jobs. Knowing these skills and their relevance to the current and future job market contributes to training of professionals able to survive a technological tsunami, in which the development of technical skills alone is no sufficient.



Author(s):  
Tad Gonsalves

Artificial intelligence (AI) is a branch of computer science whose aim is to make computers intelligent. These “intelligent” activities include thinking, reasoning, receiving stimuli from the environment and responding to them, solving puzzles, speaking and understanding language, etc. It was John McCarthy who coined the word artificial intelligence at the conference on computers in Dartmouth in 1954, indicating that its goal was to achieve a digital equivalent of human-level intelligence. In the 1970s, AI entered a low-productive period known as the AI winter. During this period, scientific and notably commercial activities in AI dropped dramatically. The victory of IBM's Deep Blue AI program over the reigning world chess champion in 1997 is probably hailed as the biggest achievement of AI. Yet another great AI achievement is the victory of IBM's Watson over the world Jeopardy champions in 2011. This chapter is a brief outline of how, through numerous ups and downs, AI has come to be where it currently is, and where we might expect it to be heading in the next couple of decades.



2011 ◽  
Vol 3 (1) ◽  
pp. 59
Author(s):  
Pujiono Pujiono ◽  
Made Dudy Satyawan

AbstractThis study sought to strip the university in the era of globalization, and the application of good governance. Globalization has changed the university (colleges) that exist in the world vying to become world class University. Most universities (colleges) in Indonesia have transformed itself from the university for teaching to be research university. Several models of approaches can be adopted to implement good governance in the face of global challenges that can be done through a model or framework of bureaucratic, political, collegial, and symbolic. Besides the university (college) should be able to guarantee transparency, accountability, rensponsive, reponsibility, independency, and fairness as well as other additional principle should be in accordance with the vision and mission of the university.



Author(s):  
Tad Gonsalves

Artificial Intelligence (AI) is a branch of Computer Science whose aim is to make computers intelligent. These “intelligent” activities, include thinking, reasoning, receiving stimuli from the environment and responding to them, solving puzzles, speaking and understanding language, etc. It was John McCarthy who coined the word, “Artificial Intelligence” at the conference on computers in Dartmouth in 1954 indicating that its goal was to achieve a digital equivalent of human level intelligence. In 1970s, AI entered a low-productive period known as the AI winter. During this period, scientific and notably commercial activities in AI dropped dramatically. The victory of IBM's Deep Blue AI program over the reigning world chess champion in 1997 is probably hailed as the biggest achievement of AI. Yet another great AI achievement is the victory of IBM's Watson over the world Jeopardy champions in 2011. This chapter is a brief outline of how through numerous ups and downs AI has come to be where it currently is, and where we might expect it to be heading in the next couple of decades.



Sign in / Sign up

Export Citation Format

Share Document