Adopting AI can be fraught with danger. Systems could be biased, or parrot falsehoods, or even become addictive. And that’s before you consider the

MIT Technology Review

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2024-08-14 13:00:03

Adopting AI can be fraught with danger. Systems could be biased, or parrot falsehoods, or even become addictive. And that’s before you consider the possibility AI could be used to create new biological or chemical weapons, or even one day somehow spin out of our control.

To manage these potential risks, we first need to know what they are. A new database compiled by the FutureTech group at MIT’s CSAIL with a team of collaborators and published online today could help. The AI Risk Repository documents over 700 potential risks advanced AI systems could pose. It’s the most comprehensive source yet of information about previously identified issues that could arise from the creation and deployment of these models.

The team combed through peer-reviewed journal articles and preprint databases that detail AI risks. The most common risks centered around AI system safety and robustness (76%), unfair bias and discrimination (63%), and compromised privacy (61%). Less common risks tended to be more esoteric, such as the risk of creating AI with the ability to feel pain or to experience something akin to “death.”

The database also shows that the majority of risks from AI are identified only after a model becomes accessible to the public. Just 10% of the risks studied were spotted before deployment.