He and the other panelists were speaking on Sunday at the SXSW conference in Austin, Texas.
The hard part is ensuring you’re free to trust it.
The problem with simulated data
Simulated data has a lot of benefits.
For one, it costs less to produce.
He used the case of the bats that make spectacular emergences from Austin’s Congress Avenue Bridge.
The risks come from how a machine trained using synthetic data responds to real-world changes.
“It’s not a fantasy.”
The panelists repeatedly used the analogy of a nutrition label, which is easy for a user to understand.
“Those types of things must be in place,” he said.
The industry also needs to keep ethics and risks in mind, Udezue said.
“Synthetic data will make a lot of things easier to do,” he said.
“It will bring down the cost of building things.
But some of those things will change society.”
Udezue said observability, transparency and trust must be built into models to ensure their reliability.
The solution is error correction, he said.
