Winning the AI talent race means changing how tech and HR leaders collaborate

The article discusses the importance of collaboration between technology and human resources (HR) leaders in winning the AI talent race. Here are the key points:

1. Historical Context: The article draws an analogy to a historical problem faced by orchestras, where women's representation was low due to biased selection processes. By changing what the process could see, they were able to identify talented individuals who had always been there but hadn't been recognized.

2. Current Challenges in AI Talent Acquisition:

   • Women's representation in Canadian tech has remained at 21% for a decade despite efforts.
   • The problem is not a market shortage but rather biased job requirements that filter out diverse candidates.

3. Data-Driven Approach:

   • Organizations need to understand their current hiring pipeline and identify where candidates drop out.
   • Assessments should focus on capability rather than familiarity or credentials.

4. Skills-Based Hiring:

   • Shifting from credential-based to skills-based hiring can expand the qualified AI talent pool by more than eight times.
   • This approach helps organizations tap into a broader range of potential hires who may not fit traditional criteria but possess necessary skills and capabilities.

5. **Collaboration Between Tech and HR

Read the full article at Digital Journal

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