By Stephanie Simone
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Video produced by Steve Nathans-Kelly
In this clip from her presentation at Data Summit 2026, Fleur Levitz, principal consultant,FDL consulting NYC LLC, discussed failures and detours on the road to responsible AI, and the introduction, implications, and potential global impact of the EU AI Act, the first systemic attempt to regulate AI at scale.
“Here we are in the era of AI and there have been unintended consequences of introducing and implementing AI at scale,” Levitz said. “They are rooted in flawed information.”
She presented examples that included:
- 2015-2016: Google (Bias), Microsoft Tay, COMPAS
- Data bias
- No safeguards
- Opaque decisions
- 2017-2019: Amazon hiring, Apple Card
- Historial bias
- Lack of explainability
- Growing scrutiny
- 2020 – present: Zillow, Tesla
- Over-automation
- Human oversight failures
- Financial and safety risk
“They’re not just technical failures, they are failures of information,” said Levitz.
Responsible AI emerged from, not as a trend, but as a response to real harm, she stressed. The principles are familiar: fairness, transparency, accountability, and privacy.
The annualData Summitconference returned to Boston, May 6-7, 2026, with pre-conference workshops on May 5.
Videos and clips of presentations from Data Summit 2026 are now available for on-demand viewing on theDBTA YouTube channel.
More information about Data Summit 2027 is coming soon.