Foundation models for music: A survey

Y Ma, A Øland, A Ragni, BMS Del Sette, C Saitis… - arXiv preprint arXiv …, 2024 - arxiv.org
In recent years, foundation models (FMs) such as large language models (LLMs) and latent
diffusion models (LDMs) have profoundly impacted diverse sectors, including music. This …

Enhancing interpretability and accuracy of AI models in healthcare: a comprehensive review on challenges and future directions

M Ennab, H Mcheick - Frontiers in Robotics and AI, 2024 - frontiersin.org
Artificial Intelligence (AI) has demonstrated exceptional performance in automating critical
healthcare tasks, such as diagnostic imaging analysis and predictive modeling, often …

Contactless Service: Artificial Intelligence Applications of Airports

ECS Ku - International Journal of Human–Computer Interaction, 2024 - Taylor & Francis
Airports are an essential part of the airline value chains. Artificial intelligence (AI)
technologies are widely used at airports; they utilize two technologies: face detection and …

[HTML][HTML] The Impact of Artificial Intelligence on Corporate Governance

G Kalkan - Корпоративные финансы, 2024 - cyberleninka.ru
The advent of artificial intelligence (AI) marks a pivotal shift in the landscape of corporate
governance, catalyzing a reevaluation of traditional frameworks and necessitating a forward …

[PDF][PDF] Integrating artificial intelligence into engineering processes for improved efficiency and safety in oil and gas operations

CA Arinze, VO Izionworu, D Isong… - … Research Journal of …, 2024 - researchgate.net
This paper delves into the significance, challenges, and potential of AI applications within
the oil and gas sector. In the dynamic landscape of oil and gas operations, efficiency and …

Disciplining deliberation: a sociotechnical perspective on machine learning trade-offs

S Fazelpour - arXiv preprint arXiv:2403.04226, 2024 - arxiv.org
This paper focuses on two highly publicized formal trade-offs in the field of responsible
artificial intelligence (AI)--between predictive accuracy and fairness and between predictive …

Intersectionality in Artificial Intelligence: Framing Concerns and Recommendations for Action

I Ulnicane - Social Inclusion, 2024 - cogitatiopress.com
While artificial intelligence (AI) is often presented as a neutral tool, growing evidence
suggests that it exacerbates gender, racial, and other biases leading to discrimination and …

Flows and Flaws of Expertise in Microtasking Platforms: The Case of Amazon MTurk

R Mousavi-Baygi, M Rezazade Mehrizi - 2024 - aisel.aisnet.org
This short paper challenges the widespread assumption that microtasking is low-skilled
work. We offer an alternative reading of microtasking from an “expertise” perspective and …

[PDF][PDF] Intersectionality in Artificial Intelligence

I Ulnicane - 2024 - pure-oai.bham.ac.uk
While artificial intelligence (AI) is often presented as a neutral tool, growing evidence
suggests that it exacerbates gender, racial, and other biases leading to discrimination and …