The EU’s new legal lens on AI and digital harm
A forthcoming perspective in Computer Law & Security Review proposes a novel, harm-based framework for assessing digital vulnerability in the age of artificial intelligence. Authored by Shu Li and Klaus Heine, the work argues that traditional security models are insufficient for the complex risks posed by modern AI systems, including large language models and automated decision-making. The article advocates for a regulatory approach centered on preventing specific, tangible harms to individuals and society, moving beyond technical vulnerabilities to consider the socio-technical context in which AI operates. This perspective is timely, aligning with ongoing European Union efforts to govern AI through comprehensive legislation like the AI Act.
Study Significance: For professionals in natural language processing and AI development, this legal and conceptual shift underscores the growing importance of building alignment and safety directly into model architectures and training pipelines. It signals that future evaluation metrics for AI systems will likely extend beyond technical performance (like perplexity or BLEU scores) to include rigorous assessments of potential societal impact and harm. Understanding this evolving regulatory landscape is crucial for ensuring that advanced text generation, information extraction, and conversational AI systems are deployed responsibly and sustainably.
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