How to Drive AI-Powered HR, Without Losing Human Judgment

22 Oct 2026
Breakout Session
As artificial intelligence becomes increasingly embedded in the workplace, HR leaders face a pivotal question: how do we harness AI’s efficiency without losing the human judgment that drives effective people leadership? This session explores how HR is evolving from manual, process-driven functions to a model where technology augments human decision-making.

AI is already transforming recruiting, compensation analysis, and employee experience by accelerating insights, reducing administrative burden, and enabling more data-informed decisions. But people – not algorithms – remain essential for interpreting nuance, assessing intent, and aligning decisions with organizational values. 

Human judgment remains indispensable. HR decisions shape careers and livelihoods — and AI systems, while powerful, can introduce bias and compliance risks if left unchecked. With evolving regulations and growing legal scrutiny around AI in hiring, leaders need practical guardrails now.

Niki will share specific use cases where AI adds value, where human oversight is required, and how to build governance that balances speed with accountability. Attendees will leave with actionable strategies to use AI responsibly, increase efficiency, build employee trust, and ensure transparency in AI-assisted decisions.

Ultimately, the future of HR is not humans or machines—it’s HR professionals empowered with better tools to focus on what matters most: empathy, context, and strategic leadership. This session offers a clear framework for embracing AI while keeping people at the center of every decision.
 
Speakers
Niki Armstrong
Niki Armstrong, Chief Administrative & Legal Officer - Pure Storage

Category

The Intelligent Enterprise: AI Automation & People Strategy

Learning Objective 1

Apply a people-first framework for AI adoption: Learn practical steps to implement AI in HR, including policies, AI fluency, and human review processes that build trust and transparency.

Learning Objective 2

Identify AI limitations in hiring and people management, including bias, compliance concerns, and where human judgment must remain central.

Learning Objective 3

Pinpoint repetitive, high-volume HR tasks where AI can reduce manual work, improve efficiency, and free teams to focus on coaching, culture, and employee experience.

Access Type

Conference Pass