Suddenly, autonomous machines need to be better than just proof of concept. They must be robust enough to work independently across various real-life situations.

In some ways, the epidemic accelerates an automated future that’s already on its way. It has exposed problems that have long existed in the AI venture scene: buzzwords and hype cloud people’s judgment, making it difficult to see real progress.

The industry needs to take on much-needed reforms towards real-world autonomous systems in the following three areas:
1. Rethink metrics…
2. Redesign error handling and communication…
3. Redefine human-machine interaction
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