“As AI model explainability improves, along with more reliable ways to monitor performance, robustness and fairness, these more complex models have in turn become more reliable with their methods and results more understandable, hence more feasible and creative applications,” she explains.
“As AI model explainability improves, along with more reliable ways to monitor performance, robustness and fairness, these more complex models have in turn become more reliable with their methods and results more understandable, hence more feasible and creative applications,” she explains. “AI can recognise disruptors by making connections between embedded characteristics.”