99 / Overcoming the ‘Fragility of AI’ to Improve User Outcomes

Make no mistake. Artificial intelligence and machine learning are super-powerful tools; their benefits seem endless. But let’s not confuse them with superpowers. AI possesses a fragility, says Dipanwita Das, co-founder and CEO of Sorcero, who is working to improve patient outcomes through advanced analytics.

More blind spot than flaw, the fragility of AI is nuance that algorithms cannot now account for. Ironically, even paradoxically, AI requires interaction with humans to reveal its true power. Thought of in this way, AI quickly becomes more approachable. It’s really thinking about the people who build the tool, those who interpret its suggestions and predictions, and all the lives impacted by the outcomes down the road. Dipanwita shares some examples relating to human health.

Dipanwita continues: “So it goes right back to us in how we’re collecting and organizing the data, how we’re designing the products, how we are applying this AI, and then what we are doing with its suggestions that will determine the end outcome.”

Anything we have not factored in, she explains, we have to account for somewhere else. If you don’t, you invite uncertainty as to whether the AI-driven product feature will perform as it needs to.

“AI is neither the silver bullet nor is it a demon,” Dipanwita concludes. “It is, at the end of the day, a tool, like anything else in software, to help us do our jobs better.”

Catch the entire podcast with Dipanwita Das as she joins ITX co-hosts Paul Gebel and Roberta Oare to discuss –

• The role of bias in data collection and interpretation, and gaps it creates
• The impact of nuance on user experience design
• Criteria for finding the right balance of AI + Human Interaction
• Sorcero’s “human in the loop” approach – a built-in touchpoint where an expert is able to give active feedback.

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