Machine learning

Seeking an ideal blueprint: the quest to deploy generative AI in companies

• The adoption of generative AI in companies, which often lack an official policy on its use, is mainly driven by employees who prefer tools like ChatGPT, which they see as flexible, but insufficiently reliable for mission-critical tasks.
• Companies, which buy or co-develop targeted LLM solutions and AI agents, have succeeded in automating simple tasks. Such initiatives result in measurable savings but also increase the risk that employees who rely on AI will lose skills.
• To avoid an anxiety-ridden stasis in the workplace, AI tools should be deployed within the framework of a collective transition that integrates feedback from a full range of professions and strikes a balance between performance and well-being.
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AI: challenges faced by developers of automated systems to moderate hate speech

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Illustration of a smiling robot emerging from a large smartphone screen, reaching out to a seated man with a

The drive to simulate human behaviour in AI agents

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Omnimodal AI: a game-changer for customer relations

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AI therapy: marketing hype and the hidden risks for users

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