In this conclusion, I ask whether the machine penalty depends on the current artificial intelligence technology. Because it’s a psychological theory about human perception and attribution, I argue that it will change based on how the causes interact with future technologies. The AI Effect suggests that we always change the benchmark for our technology and preserve human uniqueness, suggesting that we will find new ways to penalize AI, even as old comparisons become moot. This is complicated by, but still applicable for, the growing number of hybrid human–AI teams. Humans will become more enmeshed with AI in the future, essentially acting as one entity in many cases. In contrast, AI continues to be dependent on humans for their data and learning, suggesting that, even with all their capabilities, they are still mimics of humans.

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The Machine Penalty in the Future

  • Daniel B. Shank

摘要

In this conclusion, I ask whether the machine penalty depends on the current artificial intelligence technology. Because it’s a psychological theory about human perception and attribution, I argue that it will change based on how the causes interact with future technologies. The AI Effect suggests that we always change the benchmark for our technology and preserve human uniqueness, suggesting that we will find new ways to penalize AI, even as old comparisons become moot. This is complicated by, but still applicable for, the growing number of hybrid human–AI teams. Humans will become more enmeshed with AI in the future, essentially acting as one entity in many cases. In contrast, AI continues to be dependent on humans for their data and learning, suggesting that, even with all their capabilities, they are still mimics of humans.