Melissa Heikkilä / MIT Technology Review:
An analysis of nearly 4,000 public datasets finds that over 90% of AI training datasets came from Europe and North America, and fewer than 4% came from Africa  —  AI is all about data.  Reams and reams of data are needed to train algorithms to do what we want, and what goes into the AI models determines what comes out.

Melissa Heikkilä / MIT Technology Review:
An analysis of nearly 4,000 public datasets finds that over 90% of AI training datasets came from Europe and North America, and fewer than 4% came from Africa  —  AI is all about data.  Reams and reams of data are needed to train algorithms to do what we want, and what goes into the AI models determines what comes out.

Melissa Heikkilä / MIT Technology Review:
An analysis of nearly 4,000 public datasets finds that over 90% of AI training datasets came from Europe and North America, and fewer than 4% came from Africa  —  AI is all about data.  Reams and reams of data are needed to train algorithms to do what we want, and what goes into the AI models determines what comes out.

Melissa Heikkilä / MIT Technology Review:
An analysis of nearly 4,000 public datasets finds that over 90% of AI training datasets came from Europe and North America, and fewer than 4% came from Africa  —  AI is all about data.  Reams and reams of data are needed to train algorithms to do what we want, and what goes into the AI models determines what comes out.

Melissa Heikkilä / MIT Technology Review:
An analysis of nearly 4,000 public datasets finds that over 90% of AI training datasets came from Europe and North America, and fewer than 4% came from Africa  —  AI is all about data.  Reams and reams of data are needed to train algorithms to do what we want, and what goes into the AI models determines what comes out.

Melissa Heikkilä / MIT Technology Review:
An analysis of nearly 4,000 public datasets finds that over 90% of AI training datasets came from Europe and North America, and fewer than 4% came from Africa  —  AI is all about data.  Reams and reams of data are needed to train algorithms to do what we want, and what goes into the AI models determines what comes out.

Melissa Heikkilä / MIT Technology Review:
An analysis of nearly 4,000 public datasets finds that over 90% of AI training datasets came from Europe and North America, and fewer than 4% came from Africa  —  AI is all about data.  Reams and reams of data are needed to train algorithms to do what we want, and what goes into the AI models determines what comes out.

Melissa Heikkilä / MIT Technology Review:
An analysis of nearly 4,000 public datasets finds that over 90% of AI training datasets came from Europe and North America, and fewer than 4% came from Africa  —  AI is all about data.  Reams and reams of data are needed to train algorithms to do what we want, and what goes into the AI models determines what comes out.