New here? Welcome to Ahumani
Ahumani looks at AI from the human side — particularly where it intersects with health, education and human progress. Each issue combines evidence, reflection and practical use: understanding what is happening, thinking about what it means, and learning how to use AI well.
[Read: Welcome to Ahumani →]
From the Evidence
What Else Can AI Find in the Data We Already Have?
Lessons from a CT study on oesophageal cancer
A new AI can detect oesophageal cancer on ordinary chest CT scans. But the bigger idea may be that AI allows us to ask new questions of information we have already collected.
What happens when we apply the same idea to education?
A Human I
Can Language Learning Teach Us Something About the Future of AI?
Ten years ago I was told there would soon be little point learning another language because technology would do it for us.
The technology is arriving.
People are still learning languages.
What does that tell us about predictions that AI will make human skills and activities obsolete?
AI in Practice
Where Should AI Sit in Education?
AI can already read student work, provide feedback and propose marks.
But how much should we actually allow it to do?
This week's AI in Practice asks educators to place themselves on a spectrum from AI does nothing to AI does everything — and then asks a second question.
If we restrict AI's access to student work, do we also lose some of the more positive things it could do with that information?
That is Ahumani.
Not everything AI can do will be useful. Not everything it makes easier will be something we want to stop doing ourselves. And sometimes its most interesting applications may come from asking a different question altogether.
The aim is to work through those questions together — with evidence, curiosity and a continued focus on the humans at the centre of it.