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Eryn Rigley, Adriane Chapman, Christine Evers and Will McNeill
As AI deployment has broadened, so too has an awareness for the ethical implications and problems that may ensue from this deployment. In response, groups across multiple domains have issued AI ethics standards that rely on vague, high-level principles t...
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Jung-In Choi, Eunja Yang and Eun-Hee Goo
Artificial intelligence (AI) technology has brought convenience to human lives, but its pervasive impact extends beyond individuals, affecting society as a whole. Consequently, the necessity for an AI ethics education program has become increasingly appa...
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Jeonghye Han
With continuing developments in artificial intelligence (AI) and robot technology, ethical issues related to digital humans, AI avatars, intelligent process automation, robots, cyborgs, and autonomous vehicles are emerging, and the need for cultural and ...
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Isaac Oluoch
Over the past two decades, there has been increasing research on the use of artificial intelligence (AI) and geographic information technologies for monitoring and mapping varying phenomena on the Earth?s surface. At the same time, there has been growing...
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Enrico Barbierato and Maria Enrica Zamponi
Evaluating AI is a challenging task, as it requires an operative definition of intelligence and the metrics to quantify it, including amongst other factors economic drivers, depending on specific domains. From the viewpoint of AI basic research, the abil...
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Nancy S. Jecker and Eisuke Nakazawa
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Maria Christoforaki and Oya Deniz Beyan
The use of artificial intelligence (AI) applications in a growing number of domains in recent years has put into focus the ethical, legal, and societal aspects (ELSA) of these technologies and the relevant challenges they pose. In this paper, we propose ...
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Leilasadat Mirghaderi, Monika Sziron and Elisabeth Hildt
There is an ever-increasing application of digital platforms that utilize artificial intelligence (AI) in our daily lives. In this context, the matters of transparency and accountability remain major concerns that are yet to be effectively addressed. The...
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Paul Dumouchel
This essay argues that the popular misrepresentation of the nature of AI has important consequences concerning how we view the need for regulations. Considering AI as something that exists in itself, rather than as a set of cognitive technologies whose c...
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Luis Eduardo Imbernón Cuadrado, Ángeles Manjarrés Riesco and Félix de la Paz López
This work can be used to build a model capable of identifying when a student needs help while performing block-based programming exercises, and providing personalized pedagogical help, or an automatic system that can guide the student when he/she is stuc...
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Fan Li, Nick Ruijs and Yuan Lu
In modern life, the application of artificial intelligence (AI) has promoted the implementation of data-driven algorithms in high-stakes domains, such as healthcare. However, it is becoming increasingly challenging for humans to understand the working an...
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Anirban Chowdhury and Rithvik Ramadas
Insect swarms and migratory birds are known to exhibit something known as a hive mind, collective consciousness, and herd mentality, among others. This has inspired a whole new stream of robotics known as swarm intelligence, where small-sized robots perf...
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Daniela America da Silva, Henrique Duarte Borges Louro, Gildarcio Sousa Goncalves, Johnny Cardoso Marques, Luiz Alberto Vieira Dias, Adilson Marques da Cunha and Paulo Marcelo Tasinaffo
In recent years, we have seen a wide use of Artificial Intelligence (AI) applications in the Internet and everywhere. Natural Language Processing and Machine Learning are important sub-fields of AI that have made Chatbots and Conversational AI applicatio...
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Steven Umbrello
This paper argues that the Value Sensitive Design (VSD) methodology provides a principled approach to embedding common values into AI systems both early and throughout the design process. To do so, it draws on an important case study: the evidence and fi...
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Aniket Kumar Singh, Bishal Lamichhane, Suman Devkota, Uttam Dhakal and Chandra Dhakal
This study investigates self-assessment tendencies in Large Language Models (LLMs), examining if patterns resemble human cognitive biases like the Dunning?Kruger effect. LLMs, including GPT, BARD, Claude, and LLaMA, are evaluated using confidence scores ...
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Ellen Hohma and Christoph Lütge
The current endeavor of moving AI ethics from theory to practice can frequently be observed in academia and industry and indicates a major achievement in the theoretical understanding of responsible AI. Its practical application, however, currently poses...
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Brian Pickering
To use technology or engage with research or medical treatment typically requires user consent: agreeing to terms of use with technology or services, or providing informed consent for research participation, for clinical trials and medical intervention, ...
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Seumas Miller
Recent revelations concerning data firm Cambridge Analytica?s illegitimate use of the data of millions of Facebook users highlights the ethical and, relatedly, legal issues arising from the use of machine learning techniques. Cambridge Analytica is, or w...
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Viriya Taecharungroj
In this study, the author collected tweets about ChatGPT, an innovative AI chatbot, in the first month after its launch. A total of 233,914 English tweets were analyzed using the latent Dirichlet allocation (LDA) topic modeling algorithm to answer the qu...
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Stela Stoykova and Nikola Shakev
The aim of this paper is to present a systematic literature review of the existing research, published between 2006 and 2023, in the field of artificial intelligence for management information systems. Of the 3946 studies that were considered by the auth...
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