Making sense of AI

Our new AIs have been trained on a huge amount of our cultural history and are using it to provide us with text and images in response to our queries. But there is no index or map to what they know and where they might be most helpful. Thus, we need people who have deep or broad knowledge of unusual fields to use AI in ways that others cannot, deve

As one fun example, I read an article about a recent social media panic - an academic paper suggested that black plastic utensils could poison you because they were partially made with recycled e-waste. A compound called BDE-209 could leach from these utensils at such a high rate, the paper suggested, that it would approach the safe levels of dosag

It may be that working with AI is itself a form of expertise. It is possible that some people are just really good at it. They can adopt Cyborg practices better than others and have a natural (or learned) gift for working with LLM systems. For them, AI is a huge blessing that changes their place in work and society. Other people may get a small gai

So how do we do it? Let’s imagine that we want to come up with 20 ideas for marketing slogans for a new mail-order cheese shop. The AI can generate those for us, but we will get even better quality if we remember the principle of telling AI who it is: You are an expert at marketing. When asked to generate slogan ideas you come up with ideas that ar

You actually have likely read enough at this point to be a good prompt engineer. Let’s start with the third principle I shared earlier—treat AI like a person and tell it what kind of person it is. LLMs work by predicting the next word, or part of a word, that would come after your prompt, sort of like a sophisticated autocomplete function. Then the

So how should we use AI to help generate ideas? Fortunately, the papers, and other research on innovation, have some good suggestions. When you do include AI in idea generation, you should expect that most of its ideas will be mediocre. But that’s okay—that’s where you, as a human, come into the equation. You are looking for ideas that spark inspir

The distinction between design as mindset versus output matters more than ever—whether you are a designer or not. As AI reshapes how we create, we face uncertainty about which human capabilities will endure and which will transform.

Even slow-moving educational institutions are recognizing that teaching about AI will play an important role in education, with the US Department of Education suggesting, within just months of the release of ChatGPT, that AI will need to be embraced in classrooms.

But all of the arguments being made today against using generative AI to answer questions sound exactly like the arguments against citing web pages as sources in the 1990s. The argument then was basically “ Anyone can publish anything on the web, and even if a web page is accurate today, it can be changed at any time ” — which was true then and rem