Tagged: ai-governance

2 entries

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Je functietitel in klantcontact vertelt steeds minder over je echte werk

As AI systems automate routine customer service tasks, job titles remain unchanged but the actual work transforms dramatically. Support workers now handle exceptions and quality control of AI outputs; QA analysts evaluate both human and AI-generated interactions; knowledge managers become responsible for training data that directly shapes AI responses. This shift concentrates difficult cognitive and emotional labor among humans while creating an entirely new operational layer requiring constant monitoring, calibration, and governance, yet most organizations remain structurally unprepared for this transformation.

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This is what an AI policy should look like:"[T]he current state of the technology requires that AI use be coupled with the cognitive skills necessary to strategically deploy the technology, to… | Dagmar Monett | 36 comments

This LinkedIn post highlights UC Berkeley Law School's AI policy that restricts student use of generative AI for core legal reasoning tasks like brainstorming, drafting, revision, and exams. The post curates and endorses this policy as a model for responsible AI governance in higher education, emphasizing that cognitive skill development remains essential for quality legal practice and education.