In our book Leren in tijden van tweets, apps en likes there is a clear call for people working with learning, change and innovation processes to dive into technology. Everyone sees that technology is increasingly taking an important place in our lives- even people who are not into technology. I did intakes with vocational teachers this week and I heard that they experienced daily competition with mobile phones. The attention span of students got shorter. If you compete with technology you might make technology work for you and help you? My advice is be curious about technology and get started. But how deep do you dive into different technologies and tools? and why? There are so many developments, think of blockchain, of which I do not know what it actually is. Sometimes it feels like you are in a tsunami of new developments and you let it flow by. For learning professional e-learning seems a clearer need than knowing about artificial intelligence and blockchain.
the allerhande recipes
Artificial Intelligence- What the heck?
A great example of such a what-the-heck development is artificial intelligence (AI). Artificial intelligence is a collective name for software that manages creative thinking by the computer: the learning computer. I’ve heard about AI regularly, but a lot of it is at the level of ‘HEEE, it’s coming’. What can you really do? What’s going to change? It doesn’t click for me unless I get to work with it and start to apply it. A clear application of AI are chat bots. I have written about chatbots before. Those crazy puppets are everywhere if you have an eye for! Especially in Facebook messenger there are many chat bots to follow. I follow Poncho for the weather and a joke, and the allerhande chatbot with a daily recipe. For Slack users: the Slackbot helps you with all your questions about Slack. By the way, there are also chatbots which are not driven by AI, but those will be less smart in their conversations.
What is the influence of AI on the L&D profession? During the L&D unconference in Rotterdam I hence threw the above question to the group: I thought I would be alone in my group, but there were 8 people with interest in the topic. Additionally, those who did not attend seemed to regret it :). The nice thing was that there were concrete experiences in the group with AI applications. The first was the experience of a bank to have Watson analyze credit applications. You will have to teach Watson how to do this, but then you can save a lot of time. Another application shared: At a factory in Japan, a robot runs around (powered by AI) that connects with employees and coaches workers, for example, to take a break. It’s not a big brother, but a very helpful robot. The time saved by the use of AI can be put into more creative tasks. A third example was an application that receives information from the internet to make predictions about the market.
The Calimero effect
The AI group acknowledged that you as L&D-er might be afraid of this type of development or may think it’s got nothing to do with your business. The famous Calimero effect: What can we do as advisers / trainers / facilitators? This too big for us and something for the ICTs and decision makers and visionaries in the organization. It’s not for us but for others. Perhaps AI will take over L & D’s work by doing performance support tasks, for example. There is already one AI online teacher doing a great job. Or people are scared of the smart youth who understand it all. Look at the example of Tanmay Bakshi a 12-year old programmer of IBM.
You will only see it when you get it
This famous quote by Cruijf applies to AI. You can only imagine or dream up an application if you have seen enough examples and those examples inspired you. Because I opened my eyes (with a group of colleagues), we see different applications. For example, we will experiment with an online confession box for reflection. We could not have thought of this AI application if we had not followed the developments and many examples. In addition, many applications already use AI, think of your news feed on Facebook (does it?) Or your results in Google search. The danger here is that we are increasingly dealing with filter bubbles, you are getting more and more closed in the same line of thought. Think of the Netflix bubbles. It might be another role for L&D? Ger Driesen calls this the bubble bursting role.
So what to do as learning and development professional?
Investigate whether there are AI projects in the core business and try and learn from those.
Help people in the organization to prepare for robotization.
Brainstorm applications of AI to support your work and make it easier. Think of the selections of CVs, relevant chatbots or analysis of online learning data. You might be able to start an innovative project together with others.
Take up a role in the consciousness about algorithms. Burst the bubbles.
Are you working with AI? I’d be happy to know about it in a reaction.