Will this crisis help set autonomous AI on the right course?

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