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Affiliation:, Florida Institute of Technology
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A user-configurable argument selection method in deliberative polling reveals that traditional opaque rankers are outperformed by a transparent, auditable framework, enhancing voter agency and decision integrity.
TraceCoder reveals the hidden narrative behind code generation, linking 30% of snippets to specific repair events and transforming how we audit AI-generated code.
Sovereign AI initiatives could exacerbate environmental crises in the Global South, with a single data center potentially consuming millions of liters of water in water-stressed regions.
Coverage in deliberative polling can be dramatically improved by leveraging a novel argumentation simulator that adapts to strategic voting attacks.