Big players push us to go always faster. It seems on the contrary we have to think strategically beforehand.
What we see in our organizations:
- AI divides, some people use it without a legal framework, others are affraid of it.
- We are pushed to “be competitive”.
- Technologies are developping very very fast, at the cost of huge investments and cash burning.
- Global warming asks us to be extra careful with social responsability.
- The legal framework helps, a bit, with the AI Act.
Let’s see how we can handle this.
1. Set up a framework
This is the first step to avoid any annoying effects of the most adventurous colleagues. It is important to minimize beyond limits uses, with:
- A selection of authorized European AI, for data soverainity
- Clear GDPR instructions, for legal risk management and data breach cybersecurity
- Environmental impacts counciousness, for social responsability
- IA limits and errors counciousness, for quality management
This framework will secure teams’ uses and prepare your mind for the next step.
2. What: get inspired with existing cases
Second, scroll what others have already done in your field or in similar roles.
For example:
- saving time in:
- Steering committees preparation
- construction site planification
- helping out with:
- searching for products references
- creating an offer
- dispatching leads
Gatherings and podcasts are the best to learn from others, better than the news too much sponsored by big players.
3. How: build up your first demand
Third, define one experimental cases, its KPIs, and its testing frame:
- team involved
- time budget accepted risks
- accepted output quality
- accepted bias
- governance checkups
- ROI targets
Then, you can look up at your selection of authorized European AI, for a short list of offers that could fit your needs.
4. Why: test, learn, and decide
Finally, this first experiment will bring you all you need to know about what’s next. Stop or more?
What are the impacts on:
- team’s productivity
- team’s health (i.e. risk of AI fatigue)
Risk mitigation:
- if AI replaces the youngest ones, what happens when the experts will retire?
- what happens if token’s price rises ?
This new path reminds me of all the questions we had on the impacts of digital transformation. It was a new world, there we have a new one again!