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Most organisations have failed to address artificial intelligence in their ethics codes, despite accelerating AI deployment across functions. LRN's survey reveals a critical gap: ethics frameworks lag behind technology adoption, leaving employees without clear guidance on AI use, bias mitigation, or algorithmic decision-making. The problem runs deeper than omission. Employee engagement with codes of conduct is declining even as workplace misconduct reports climb – suggesting codes have become compliance theatre rather than working tools. Organisations cite codes as essential to culture, yet staff increasingly ignore them. When AI enters this vacuum, the risk compounds. No guidance on algorithmic bias. No framework for data handling in machine learning. No clarity on who's accountable when an AI system makes a discriminatory hiring or lending decision. This matters because it exposes organisations to regulatory exposure (EU AI Act, algorithmic accountability laws) and reputational risk when AI failures surface. But it also signals a governance failure at board level: ethics oversight hasn't kept pace with technology governance. The survey doesn't specify which sectors or organisation sizes were surveyed, which limits insight into whether this is endemic or concentrated in fast-moving tech and finance. The real question isn't whether AI belongs in ethics codes – it does, immediately. It's whether organisations that write codes view them as binding constraints on behaviour, or as documents for the filing cabinet.
