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There are three kinds of AI we could be making. The first kind is cognitive automation: encoding human abstractions in a piece of software and using it to automate tasks normally performed by humans. Nearly all of current machine learning & symbolic AI fall into this category.
The second kind is cognitive assistance: using AI to help us make sense of the world. AI to help us perceive, think, understand. I believe this is where the true potential of AI lies. Today, some applications of ML fall into this category, but they're few and far between.
The last kind is cognitive autonomy: creating artificial minds that could thrive independently of us, that would exist for their own sake. Today and for the foreseeable future, this is stuff of science fiction.
This first kind is huge in legal research. By the time I went to law school, we used Westlaw and LexisNexis for legal research. Folks before us used real *gasp* books *gasp*! 
Agreed. The second kind can have huge benefits in accelerating scientific research and innovation.
Nice categorization @fchollet. Would you then consider the more "creative" types of AI (like DALL-E below) as cognitive automation or cognitive assistance?pic.twitter.com/Yxp1NwIokH
Cognitive assistance. You asked a computer to do something for you and they assisted.
It may run into trouble with a novel situations, like a complex problem w/multiple variables, each of which seems worthy, but each of which alters the outcome. In instances where AI gets incomplete or low quality data, a flawed product will be the result, and the software blamed.
For example. Facial recognition software that worked with faces that looked the same in race and complexion. Thats a real example of bias built into tech.
In other words "brain interfaces powered by AI" ?
It's about creating an algorithm. 1) [Manual], explicit programming/rules. e.g. Expert System 2) [Semi-auto], trial-and-error parameters optimization. e.g. Machine Learning 3) [Full-auto], self interpret requirements and create without human involvement. e.g. maybe future AGI?
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