Year: 2025
Type: conference-paper
Abstract: While XAI focuses on providing AI explanations to humans, can the reverse - humans explaining their judgments to AI - foster richer, synergistic human-AI systems? This paper explores various forms of human inputs to AI and examines how human explanations can guide machine learning models toward automated judgments and explanations that align more closely with human concepts.
Source: Cronfa (Swansea University)
Authors: Dix, Alan, Turchi, Tommaso, Wilson, Ben, Monreale, Anna, Roach, Matt
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4416113205
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