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Trustworthiness

StarVector: Generating Scalable Vector Graphics Code from Images and Text
Scalable Vector Graphics (SVGs) are vital for modern image rendering due to their scalability and versatility. Previous SVG generation …
Unpacking Trust Dynamics in the LLM Supply Chain: An Empirical Exploration to Foster Trustworthy LLM Production & Use
Research on trust in AI is limited to several trustors (e.g., end-users) and trustees (especially AI systems), and empirical …
StarVector: Generating Scalable Vector Graphics Code from Images and Text
Scalable Vector Graphics (SVGs) are vital for modern image rendering due to their scalability and versatility. Previous SVG generation …
Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection
Deployed machine learning systems require some mechanism to detect out-of-distribution (OOD) inputs. Existing research mainly focuses …
Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering
Retriever-augmented instruction-following models are attractive alternatives to fine-tuned approaches for information-seeking tasks …
An Empirical Exploration of Trust Dynamics in LLM Supply Chains
With the widespread proliferation of AI systems, trust in AI is an important and timely topic to navigate. Researchers so far have …
Understanding Stakeholders' Perceptions and Needs Across the LLM Supply Chain
Explainability and transparency of AI systems are undeniably important, leading to several research studies and tools addressing them. …
Explainable, Sensible and Virtuous Workplace Chatbots
We outline three research directions towards the practical implementation of explainable, sensible and virtuous chatbots for the …
Examining Responsibility and Deliberation in AI Impact Statements and Ethics Reviews
The artificial intelligence research community is continuing to grapple with the ethics of their work by encouraging researchers to …