Managing potential harms of AI and machine learning

Artificial intelligence and machine learning have the potential to contribute to the resolution of some of the most intractable problems of our time. Examples include climate change and pandemics. But they have the capacity to cause harm too. And they can, if not used properly, perpetuate historical injustices and structural inequalities.

To mitigate against their potential harms, the world needs frameworks for the governance of data that are economically enabling and that preserve rights.

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Note: The results are not exact but very close to the actual.