Tag: academic AI ethics
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LLM Deception on Benign Prompts: New Insights & Metrics
Explore how large language models self-initiate deception on benign prompts and learn about new metrics assessing AI trustworthiness.
Use-Case Bias & Fairness Evaluation for Large Language Models
Discover a new framework and langfair library for tailored bias and fairness evaluation in LLMs, ensuring ethical AI deployment across use cases.
Neuro-Symbolic Framework for Fair Ethical Judgments
Discover a neuro-symbolic framework that improves ethical reasoning by combining AI and logic to resolve moral conflicts fairly and accurately.
How AI Can Strengthen Democracy: A Strategic Blueprint
Discover how AI enhances democracy through transparency, public engagement, and combating misinformation while addressing privacy and bias challenges.
Fair Dataset Distillation Using Cross-Group Barycenter Alignment
Discover how cross-group barycenter alignment improves fairness in dataset distillation, reducing bias across demographic groups in AI models.