Dr. Cecilia Dones, known as Ceci, sits at the intersection of data, AI, and the one thing many tech conversations forget: people. As founder of 3 Standard Deviations and a practitioner-academic who has worked across Fortune 500 boardrooms and Ivy League classrooms, she has spent her career asking the questions about trust, human behavior, and what AI systems get fundamentally wrong about the humans they’re built to serve. Equal parts statistician, behavioral researcher, and provocateur, Ceci makes you see AI differently.
Session Overview
Building AI Systems People Actually Trust
Artificial intelligence is being scaled, measured, and deployed across organizations at unprecedented speed. Yet one critical question is consistently overlooked: do the systems being built actually deserve the trust of the people they affect?
Trust is the determining factor between AI that delivers sustained business impact and AI that gets worked around, resisted, or abandoned. Organizations that fail to design for trust at the outset face consequences that no adoption program or ROI framework can fix after the fact.
This session provides a practical, cross-sector framework for understanding how trust is built or broken in AI systems, and what leaders across every function can do to get it right. Drawing on behavioral science and real-world application across multiple industries, attendees will leave with concrete tools to audit, design, and communicate AI initiatives in ways that earn genuine human confidence from the front line to the boardroom. For any leader involved in commissioning, building, or governing AI, this session reframes the most important question in the room.
Three Tangible Learnings
Learning 1: Why trust is the single biggest factor determining whether your AI initiative succeeds or fails and what most organizations are getting wrong about it.
Learning 2: How to recognize the specific moments where AI loses human trust, and what to do differently.
Learning 3: A simple framework any leader can use to ensure the AI being built or commissioned in their organization is designed to earn confidence.
The Human Signals Behind Better Business Decisions
Every business decision is only as good as the information behind it. However, across organizations, the signals that matter most, the human ones, are consistently the hardest to capture, and the most costly to miss.
Whether decisions are being driven by BI dashboards, AI outputs, or analytics platforms, there is a persistent gap between what the data shows and what actually drives human behavior, judgment, and action.
This session gives both data practitioners and business leaders a structured diagnostic for identifying where human signals are missing from their analytics and AI-driven decision processes, why those gaps emerge, and how to close them. Attendees will leave with practical tools to surface what their data is missing about the people behind it and a framework for building decision intelligence that reflects the full complexity of human behavior, not just the parts that are easy to measure.
Three Tangible Learnings
Learning 1: The specific human signals that analytics and AI systems most commonly miss, why they get left out, and what it costs when they do.
Learning 2: How to pinpoint exactly where human signal gaps are degrading the quality of your data outputs and the business decisions that follow.
Learning 3: A practical set of questions both data practitioners and business leaders can apply to catch human blind spots before they become costly mistakes
Alternatively, please email sales@eventfulpeople.com for quote, invoice or any queries and we’ll be glad to assist.
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Dr. Cecilia Dones, known as Ceci, sits at the intersection of data, AI, and the one thing many tech conversations forget: people. As founder of 3 Standard Deviations and a practitioner-academic who has worked across Fortune 500 boardrooms and Ivy League classrooms, she has spent her career asking the questions about trust, human behavior, and what AI systems get fundamentally wrong about the humans they’re built to serve. Equal parts statistician, behavioral researcher, and provocateur, Ceci makes you see AI differently.
