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Found 3 papers, 2 papers with code
An Empirical Exploration of Trust Dynamics in LLM Supply Chains
In particular, a limited number of relevant trustors (e. g., end-users) and trustees (i. e., AI systems) have been considered, and empirical explorations have remained in laboratory settings, potentially overlooking factors that impact human-AI relationships in the real world.
A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities
Despite the impressive performance of Artificial Intelligence (AI) systems, their robustness remains elusive and constitutes a key issue that impedes large-scale adoption.
Towards a multi-stakeholder value-based assessment framework for algorithmic systems
We, therefore, contribute to current ML auditing practices with an assessment framework that visualizes closeness and tensions between values and we give guidelines on how to operationalize them, while opening up the evaluation and deliberation process to a wide range of stakeholders.
