Data Dan

AI or KO: Is HR ever going to use intelligent technology?

What if the key to AI success in HR is to get hit? This talk explains why learning from failure is the most critical step to adoption.

AI or KO: Is HR ever going to use intelligent technology?
#1about 3 minutes

The case for active AI training in HR

Passively watching others use AI is ineffective; HR professionals must actively engage with the technology to build real competence and drive transformation.

#2about 2 minutes

Understand the core ingredients for successful AI

Effective AI implementation requires mastering its core components: data quality for accuracy, process clarity for efficiency, and business context for value.

#3about 2 minutes

Test AI on real and impactful HR challenges

Apply AI to solve genuine employee pain points within core processes, rather than testing it on isolated or low-impact side projects.

#4about 3 minutes

Build AI competence through coaching and community

Accelerate AI adoption by learning from diverse experts and fostering an internal 'train the trainer' community to scale knowledge effectively.

#5about 3 minutes

Embrace failure and manage stakeholder expectations

Expect and thoroughly document failures in AI projects to create a shared knowledge base and manage leadership expectations about AI's capabilities and biases.

#6about 2 minutes

Prioritize taking action over perfect strategy

The most critical step is to begin applying AI and leading by example, as practical action is more valuable than waiting for a flawless plan.

#7about 5 minutes

Use custom GPTs for personal AI development

HR professionals can build custom GPTs to translate technical jargon, generate personalized learning paths, and brainstorm relevant AI use cases for their context.

#8about 1 minute

Your call to action to become an AI front runner

Commit to active learning and application over the next year to move from a passive observer to a knowledgeable leader in the HR AI space.

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