Tag: Privacy-Preserving Technologies in Data
#Privacy-Preserving Technologies in Data
Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned
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 …
Artificial intelligence and democratic legitimacy. The problem of publicity in public authority
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 …
AI ethics and data governance in the geospatial domain of Digital Earth
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 …
Privacy-Preserving Models for Legal Natural Language Processing
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 …
D-BIAS: A Causality-Based Human-in-the-Loop System for Tackling Algorithmic Bias
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, …
Fairness-Aware Machine Learning
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 …
Ethical Considerations and Fundamental Principles of Large Language Models in Medical Education: Viewpoint
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 …
Protecting Intellectual Property With Reliable Availability of Learning Models in AI-Based Cybersecurity Services
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 …
