1. Become AI literate
Learn about the different forms of machine learning and logic.
Go to AI meetups, learn to speak to data and ML scientists, engineers, business leads and lawyers.
Subscribe to a news service like the daily curated Inside AI - get alerts on Artificial Intelligence from your favorite publication.
We will be offering a new course entitled “AI for Designers” in June that will cover all aspects of design for AI.
If you are interested in the future of work - check out this paper from Tom Mitchell in Science that includes “8 questions to ask if a task in Machine Learning ready.”
And we need more of these tools. Perhaps you’ll build some with your new knowledge?
2. Link business goals to societal ones
I always say that “Context drives curriculum.”
Learn about and develop socially-aligned learning outcomes.
Learn the UN Sustainable Development Goals
Read the Declaration of Human-rights.
Get a copy of the Wisdom Economy Card Deck, to understand multi-capital approaches to impact measurement and understand basic human needs.
Then map these societal goals on to the mission statement of your company and get creative with business leaders on how to rethink the profit formula.
This is the kind of work I do in my consultancy and that I teach to my graduate students. Its not terribly hard. But it is what business people call “out of the box.”
3. You are modeling
As a teacher of machines you are modeling the way to be and your consciousness matters.
First do no harm:
Since we are human, we are biased. Understand your biases and how you can overcome them.
There are lots of tools on the web. Ask your HR person about the D&I tools you can use.
Hire and work with diverse teams.
Then Embrace Optimism.
Identify the changes you want to see in the world.
Align your work and surround yourself with others that want these changes too.
The machines you help create are going to amplify what you do.
Strive to be a better person.
4. Define dynamic learning objectives
Be a great teacher of machines. Great teachers think in terms of learning objectives and they don’t limit students by what they know. Learning objectives are dynamic.
As you apply your mapping from societal need to learning objectives, focus on verbs and not just nouns. Nouns have time limits, especially in our business.
My mentor Bill Moggridge gave me this great advice as I was building the IxD programs at CCA.
For example, we don’t teach specific design tools, we teach meta-learning and how to approach any tool to get what you need.
Much of our curriculum is defined by verbs that don’t change.
You can find those for your ML objectives too, they will depend on your domain.
5. Stand up for brave conversations.
Working together, People can do wonderful things. Difficult conversations take skill. An amplifying wisdom technology to learn and practice is what I call “brave conversations.” This is about effectively speaking the truth in order to have a stronger voice at the table, a voice that points out common needs and can be heard.