Security teams spend much of their time tracking vulnerabilities, abuse patterns, and system failures. A new study argues that many AI risks sit deeper than technical flaws. Cultural assumptions, uneven development, and data gaps shape how AI systems behave, where they fail, and who absorbs the harm. The research was produced by a large international group of scholars from universities, ethics institutes, and policy bodies, including Ludwig Maximilian University of Munich, the Technical University of … More →
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