transparency
Transparency in AI pertains to the clarity and accessibility of how a model operates, including its decision-making process and underlying algorithms. High transparency is essential for building trust and ensuring accountability, particularly in sensitive applications.
- Approximating Shapley Explanations in Reinforcement Learning
- BenchmarkCards: Standardized Documentation for Large Language Model Benchmarks
- Cue3D: Quantifying the Role of Image Cues in Single-Image 3D Generation
- On the Robustness of Verbal Confidence of LLMs in Adversarial Attacks
- Position: If Innovation in AI systematically Violates Fundamental Rights, Is It Innovation at All?
- Replicable Online pricing
- SPOT: Scalable Policy Optimization with Trees for Markov Decision Processes
- The Right to Red-Team: Adversarial AI Literacy as a Civic Imperative in K-12 Education
- Variational Task Vector Composition