As we wrap up the research, discussions, and community sessions from our spring focus on Content and AI, several themes have become increasingly clear.
In particular, our research has centred around:
- licensing and AI rights
- governance and user compliance
- stakeholder alignment and organisational value
- ... and the practical realities of applying AI to external content.
Licensing – external content and AI rights
One of the stronger findings from recent discussions is that many end users still do not understand the difference between content access rights, and AI usage rights.
They assume that once content can be read, accessed, or internally shared, it can also be processed through AI tools. In practice, this is often not the case.
You can read more about user compliance and governance approaches in our new report "Training end users in AI – from policy to practice".
Governance – using training as part of governance
One way of guiding end users is by treating training as part of governance itself.
Several organisations describe models where access to AI functionality depends on completion of specific training or certification. This is discussed in more detail in the blog "Training before access – a new control layer for AI?".
Our next focus – stakeholder management
As we move into June, our focus shifts towards stakeholder management and organisational value.
Upcoming sessions include two community sessions:
This shifts our research and community discussions from focussing on the content itself, towards how information managers communicate the value of trusted content, expertise, and human judgement to stakeholders and leadership.
Jinfo is here to help you to build a compliant organisation. Please reach out if you want to discuss the topic with me, and purchase a Jinfo Subscription if your organisation doesn't have one yet.
