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Tag: Privacy-Preserving Technologies in Data
Researchers and practitioners from different disciplines have highlighted the ethical and legal challenges posed by the use of machine learned models and data-driven systems, and …
Researchers and practitioners from different disciplines have highlighted the ethical and legal challenges posed by the use of machine learned models and data-driven systems, and …
With the rise of AI, algorithms have become better at learning underlying patterns from the training data including ingrained social biases based on gender, race, …
Pre-training large transformer models with in-domain data improves domain adaptation and helps gain performance on the domain-specific downstream tasks. However, sharing models pre-trained on potentially …
Artificial intelligence (AI)-based cybersecurity services offer significant promise in many scenarios, including malware detection, content supervision, and so on. Meanwhile, many commercial and government applications …
Digital Earth applications provide a common ground for visualizing, simulating, and modeling real-world situations. The potential of Digital Earth applications has increased significantly with the …
This viewpoint article first explores the ethical challenges associated with the future application of large language models (LLMs) in the context of medical education. These …
Abstract Machine learning algorithms (ML) are increasingly used to support decision-making in the exercise of public authority. Here, we argue that an important consideration has …