AI Governance – Building Trust in the Age of Intelligent Systems | 9th New York QA Meetup
An AI system can automate decisions at scale, but that also means mistakes, weak controls, and unclear accountability can scale with it.
As organisations introduce AI into products, internal processes, and customer experiences, they need more than technical capability. They also need clear ownership, appropriate oversight, and a structured way to manage risks involving compliance, transparency, security, and trust.
At The Test Tribe New York Meetup, Aditi Agrawal will explore what AI governance looks like in practice and how organisations can support AI adoption without treating accountability as an afterthought.
Event Details
Date: August 27, 2026
Time: 6:00 PM – 8:00 PM ET
Venue: 307 W 38th St #1505, New York, NY 10018, USA
What's on the Agenda?
Session: AI Governance – Building Trust in the Age of Intelligent Systems
Speaker: Aditi Agrawal, Senior Director, Quality Engineering at Myridius
As AI becomes part of products and business processes, organisations need a clear way to decide how these systems should be developed, reviewed, monitored, and governed.
Without suitable controls, AI systems may create risks involving compliance, transparency, security, and organisational trust.
In this session, Aditi will explain what AI governance means in practice and why organisations adopting AI need a structured approach to managing it responsibly.
She will cover the three core pillars of an effective AI governance framework, discuss governance challenges through practical examples and real-world experiences, and examine the role leadership plays in responsible AI adoption.
The session will also consider how organisations can introduce accountability and oversight without creating governance processes that unnecessarily block useful experimentation.
How This Meetup Solves Your Problem
Traditional governance processes may not fully address systems that generate content, influence decisions, or behave differently depending on their data and context.
This session will help attendees understand:
Why AI governance matters for organisations adopting AI
The three core pillars of an effective AI governance framework
Common governance challenges and possible ways to address them
How leadership can support responsible AI adoption
How accountability can be built into AI initiatives without treating governance as a final review step
The aim is to provide a clearer way to think about ownership, risk, and oversight as AI moves from experimentation into wider organisational use.
Why You Should Show Up
This meetup is an opportunity to examine AI governance without reducing it to policy language or compliance checklists.
You will be able to ask questions, compare approaches with peers, and discuss how different organisations are balancing innovation with responsibility.
The evening will also bring together QA professionals, engineering leaders, AI practitioners, and other technology professionals from New York’s technology community.
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About The Test Tribe
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