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Neurosymbolic AI: the 3rd wave
Abstract Current advances in Artificial Intelligence (AI) and Machine Learning have achieved
unprecedented impact across research communities and industry. Nevertheless, concerns …
unprecedented impact across research communities and industry. Nevertheless, concerns …
Applications of data science for responsible gambling: a sco** review
K Ghaharian, B Abarbanel, D Phung… - International …, 2023 - Taylor & Francis
Technological innovations in the gambling industry have revolutionized the availability,
storage, and use-cases of data. How this data may be leveraged for responsible gambling …
storage, and use-cases of data. How this data may be leveraged for responsible gambling …
Extracting relational explanations from deep neural networks: A survey from a neural-symbolic perspective
J Townsend, T Chaton… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
The term “explainable AI” refers to the goal of producing artificially intelligent agents that are
capable of providing explanations for their decisions. Some models (eg, rule-based …
capable of providing explanations for their decisions. Some models (eg, rule-based …
Insights into suggested Responsible AI (RAI) practices in real-world settings: a systematic literature review
AI-enabled systems have significant societal benefits, but only if they are developed,
deployed, and used responsibly. We systematically review 45 empirical studies in real-world …
deployed, and used responsibly. We systematically review 45 empirical studies in real-world …
Accuracy and interpretability trade-offs in machine learning applied to safer gambling
Responsible gambling is an area of research and industry which seeks to understand the
pathways to harm from gambling and implement programmes to reduce or prevent harm that …
pathways to harm from gambling and implement programmes to reduce or prevent harm that …
ERIC: Extracting relations inferred from convolutions
J Townsend, T Kasioumis… - Proceedings of the …, 2020 - openaccess.thecvf.com
Our main contribution is to show that the behaviour of kernels across multiple layers of a
convolutional neural network can be approximated using a logic program. The extracted …
convolutional neural network can be approximated using a logic program. The extracted …
AI ethics in a controversial industry: the case of gambling and its ethical paradox
K Ghaharian, F Binesh, M Soligo, L Golab, B Abarbanel - AI and Ethics, 2024 - Springer
Artificial intelligence (AI) is a transformative technology with the potential to bring immense
benefit while simultaneously presenting significant risks and ethical concerns. In this study …
benefit while simultaneously presenting significant risks and ethical concerns. In this study …
Cognitionnet: A collaborative neural network for play style discovery in online skill gaming platform
R Talwadker, S Chakrabarty, A Pareek… - Proceedings of the 28th …, 2022 - dl.acm.org
Games are one of the safest source of realizing self-esteem and relaxation at the same time.
An online gaming platform typically has massive data coming in, eg, in-game actions, player …
An online gaming platform typically has massive data coming in, eg, in-game actions, player …
Discovering visual concepts and rules in convolutional neural networks
J Townsend, E Mansouri-Benssassi… - Compendium of …, 2023 - ebooks.iospress.nl
This chapter provides an overview of ERIC (Extracting Relations Inferred from
Convolutions), a solution to the extraction of explanations and human-comprehensible …
Convolutions), a solution to the extraction of explanations and human-comprehensible …
A Deep Learning Framework for Ensuring Responsible Play in Skill-based Cash Gaming
D Seth, S Eswaran, T Mukherjee… - 2020 19th IEEE …, 2020 - ieeexplore.ieee.org
Games of skill are an excellent source of recreation, entertainment and relaxation. However
when these games are played with real money, the important facet of responsible game play …
when these games are played with real money, the important facet of responsible game play …