Once large models reach the enterprise, the real problems start
Model capability is no longer the main bottleneck. Data governance, process redesign and clear lines of responsibility decide whether deployment works.
AI
Continuing coverage of how artificial intelligence is deployed, applied and governed.
The copyright boundaries around generated content are still forming
Use of training data, ownership of generated output and disclosure at publication are the three points where disputes concentrate.
Before an agent can run a process, the process has to be written down
How well automation works usually depends on whether the process is clearly defined, not on how capable the model is.
With AI in the classroom, a teacher's role is being redefined
When explanation and marking can be partly handled by software, a teacher's value shifts toward judgement, motivation and relationships.