Description
Bob Pulver chats with Kyle Lagunas from Aptitude Research about the state of AI in HR. They discuss the evolution of talent and HR technologies, the challenges of responsible AI, and the need for HR professionals to upskill themselves in this area. They also explore the impact of AI on job displacement and the importance of understanding AI technologies and their implications. The conversation explores the importance of trust in implementing AI in HR and the need for collaboration between HR, IT, and data teams. It emphasizes the need for HR to view AI as a toolkit that works for them, not as something being done to them, and to embrace the opportunity for transformation and evolution. The conversation also touches on the challenges of integrating different AI interfaces and the importance of community and sharing best practices.
In this episode, we look at AI in HR, talent and HR technologies, responsible AI, AIQ, job displacement, understanding AI technologies, trust, collaboration, HR transformation, evolution, integration, and best practices.
Key Takeaways
AI is a cornerstone of modern HR operations and it is essential for HR professionals to increase their AI literacy.
The conversation around AI in HR has shifted to include responsible and ethical AI, as AI systems can now interact without prompts or reference libraries.
There is a need to balance the adoption of AI technologies with the potential risks and concerns, such as bias and job displacement.
HR professionals should focus on foundational work, such as automation and intelligent automation, to improve employee experiences and drive better integration across systems.
The entire HR organization needs to be literate in AI technologies and understand the difference between RPA, NLP, machine learning, and knowledge graphs.
Trust is crucial in implementing AI in HR, and HR should view AI as a tool that works for them, not against them.
Collaboration between HR, IT, and data teams is essential for successful AI implementation.
AI has the potential to catalyze the evolution of HR and expand its value proposition.
HR needs to be informed and have an informed perspective on solutioning for AI.
Baseline literacy in AI is important to avoid falling into the trap of shiny object syndrome or being overly cynical.
Community and sharing best practices can help HR navigate the AI landscape.
Chapters
00:00 Introduction and Background
03:23 The Shift to Responsible AI
06:34 Balancing Adoption and Risks
09:31 Automation and Intelligent Automation
13:58 The Need for AI Literacy in HR
26:03 Lack of Trust between Workforce and HR
27:02 Collaboration and the Divide between HR and Workforce
27:59 AI as a Cultural and Human Experience Moment
29:23 Experimentation and Playing with AI
30:11 The Power and Potential of AI in HR
Aptitude Research: https://www.aptituderesearch.com/about-aptitude-research/
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