Can AI Become Our Coworker? AI in workplace

Описание: Can we trust AI as a coworker? Tom Andriola explores how healthcare and enterprise leaders can scale AI responsibly with trust, governance, and data integrity.

How do we bring AI to scale, use it across the enterprise, and still ensure trust, accountability, and human oversight? In this powerful discussion, Tom Andriola—former UC Irvine Chief Digital Officer and current Dynatrace healthcare executive—joins SCALE Community to unpack what it really means to treat AI not as a tool, but as a coworker.

Tom challenges traditional thinking by asking the hard questions:

How do we know when AI agents are doing the right things, making good decisions, or drifting off course?

What frameworks of governance and observability must exist before AI becomes embedded across workflows?

How do we ensure AI supports—not replaces—human decision-making in high-stakes sectors like healthcare?

As Tom explains: “We needed to think of it not as tools, but as coworkers that workflows and processes are blended between humans doing things and agents doing things.”

He describes this as an evolving journey of accountability—where enterprises must design systems to detect drift, apply feedback, and “unplug” untrustworthy AI agents. Trust, after all, becomes the central pillar of adoption: “If we don’t trust it, we won’t use it.”

This episode of the Healthcare Technology & Innovation Series by SCALE Community dives deep into:
✅ AI governance and observability frameworks
✅ Human-in-the-loop design for clinical and operational workflows
✅ The future of AI agents as enterprise collaborators
✅ Why trust, transparency, and accountability determine AI’s success

Tune in to explore how forward-thinking leaders like Tom Andriola are redefining the boundaries of human-machine collaboration in healthcare and beyond.


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