All traces

Detection skill did not generalize across modalities, and confidence did not track voice accuracy, leaving people vulnerable to deepfake-enabled identity theft and financial fraud despite some detection ability.

Same preservice teachers raised concerns that LLM outputs contained inaccuracies, encouraged overreliance, and were less useful for validation phases of modeling.

An AI-generated imitation of Drake and The Weeknd's voices in a viral track convinced millions of listeners it was authentic, requiring a label disclosure.

Current AI studies for sport-related concussion are frequently constrained by small or imbalanced samples, inconsistent definitions, limited external validation, and poor model interpretability.

Consumers perceive products described as designed by AI as less sustainable than identical products described as designed by humans, driven by a perceived lack of genuine care.

In the same 19 G20 countries, the relationship between AI and economic growth is concave, indicating diminishing marginal returns as AI intensity rises.

7.2% of evaluated MCP servers contained general vulnerabilities and 5.5% exhibited MCP-specific tool poisoning, part of eight distinct vulnerabilities largely distinct from traditional software flaws.

Japanese university students using GenAI experience ethical anxiety and heightened awareness of power and risk that complicates agency and moral responsibility.

Singers who contribute singing data face significant harms from downstream non-consensual use including vocal deepfakes and voice cloning.

Attention-based deep-learning feature selection failed to capture N2O emission patterns under out-of-distribution high-flow conditions, and LLM-augmented selection showed lower predictive accuracy with mean R2 0.596 compared to 0.712 for attention-based.

The AI edit of the campaign photo produced distorted hands, garbled sign text, and smeared faces.

KPMG Australia staff used AI tools to cheat on internal training and testing, including an AI training course, resulting in fines and disciplinary action.

Users completing innovation tasks with AIGC may experience alienation outcomes including cognitive fixation, degradation risk, and problem risk.

VGenAI content did not provide resource-constrained minor parties with competitive engagement benefits, leaving engagement asymmetries between major and minor parties intact.

Young people entering the workforce are projected to face job displacement as AI transforms work.