Chapter 7. Conclusion: Keep learning about (and with) AI…

At the end, we would like to give you a few useful tips to take with you. They focus on how you can protect your job satisfaction and keep strengthening your AI skills.

Disclaimer: Silly moments and outtakes may occur, but no humans were harmed in the making of this course.

Job satisfaction with (and without) AI

Artificial intelligence can both improve and worsen our working lives. 
For example, the technology can help us work better and faster on our own, but it can also remove the fun from work or the collegial sparring that is important for thriving in a workplace. 

In this course, you have gained perspectives on what you can, may and should use artificial intelligence for in your work. 

Now it is up to you to work out how you want to use the technology so that it contributes to a good working life. For you. And for others.

Continue to DIMSE

Practice makes perfect, as the saying goes. That also applies when you are learning to work with artificial intelligence.

That is why we would like to encourage you to keep DIMSE-ing on your own: experiment, try new things, and ask yourself: what if I did it like this?

To learn from your experiments, you also need to reflect on what you do. For example, ask yourself: what did I learn from this? Did it improve my working life? Did it give me more job satisfaction? Did it help me do something faster – or perhaps even better?

Also remember to share your experiences with others. Ask them what they use AI for in their work to get inspiration. As we have said before: at SDU, we do not use AI in secret. We use the technology together and with full openness.

In short: experiment, reflect and share your experiences. If you do those three things, you are well on your way to becoming fluent in AI.

Learn with AI

An extra encouragement: use AI to learn about AI as well.

You can, of course, take courses, read guides and learn together with colleagues. But you can also use your chatbot as a personal learning partner. It can explain concepts, give examples, suggest exercises and help you understand how to get better at using AI in your own work.

For example, try asking it to create a small learning programme for you: what should I practise? Which tasks can I use for training? How can I get better at prompting?

In short: use AI to get better at AI.

Closing remarks

... yes, you can get a bit tired after a long day in the studio. But we could not call it a day before we had promoted our Network for People Interested in AI.

Remember to take the quiz at the end, so you can both receive the nice DIMSE diploma and sign up for our network.

Thank you for this time.