AI systems are increasingly being used in sensitive, high-stakes environments where decisions directly impact people’s well-being. Nowhere is this more critical than in caregiving scenarios involving serious illness, cognitive decline, and end-of-life support.
In this session, Pete Trujillo shares the real-world design and governance decisions behind a suite of AI tools created specifically for caregivers navigating these difficult moments. Developed in collaboration with clinical experts, these tools were built with a clear priority. Human needs come first.
Participants will gain insight into how responsible AI principles are applied in practice, not just as theory. The session explores how design choices such as human oversight, privacy-first architecture, and ethical constraints are embedded into the system from the start.
This session also highlights the role of Business Analysts and product professionals in shaping these outcomes. You will see how requirements, constraints, and user context influence system behavior, and why clarity in decision-making is essential when the stakes are high.
Through practical examples, attendees will learn how to evaluate AI solutions beyond functionality, focusing instead on trust, accountability, and real-world impact.
Learning Objectives
By the end of this session, participants will be able to:
Understand how AI systems are designed for high-stakes, human-centered environments
Identify key governance principles such as human oversight, privacy, and ethical constraints
Evaluate AI tools based on trust, accountability, and real-world impact
Recognize the importance of user context when designing or assessing AI solutions
Apply structured thinking to assess AI use in sensitive or critical scenarios
Course Outline
AI in High-Stakes Environments
Understanding the unique challenges of designing AI for caregiving and sensitive use cases.
Designing for Human Needs
How user context shapes system behavior and decision-making.
Governance and Ethical Design
Embedding privacy, transparency, and accountability into AI systems.
Case Study: Caregiver Support Tools
Real-world examples of AI tools built for illness, cognitive decline, and end-of-life care.
Evaluating AI Systems
A practical framework for assessing AI solutions in high-impact environments.
Audience
This session is ideal for:
Business Analysts working on AI or digital transformation initiatives
Product Managers and AI solution designers
Professionals in healthcare, public sector, or social impact roles
Anyone interested in ethical and responsible AI design
Workshop Overview
Date: Thursday, July 2, 2026
Time: 7:00 PM – 8:00 PM Eastern Standard Time (EST)
Duration: 1 hour
Instructor Profile
Pete Trujillo is an AI product consultant and AIGP-certified practitioner focused on responsible AI in high-stakes, human-centered contexts. Since completing his Master’s in AI Management and Policy at Purdue University, he has applied governance-first design to projects in EdTech analytics and caregiver support.
His most recent work, developed in collaboration with a board-certified psychiatrist and clinical psychologist, includes a suite of AI tools designed to support individuals navigating serious illness, cognitive decline, and end-of-life care.
Pete builds AI systems where transparency, privacy, and human oversight are core design principles. His work emphasizes practical, responsible approaches that ensure AI supports people effectively, especially in critical moments.