Ready, Set, AI: What our People Science research tells us about AI Readiness

  • Thread starter Thread starter Avneeta_Solanki
  • Start date Start date
A

Avneeta_Solanki

On July 18, the Viva People Science team held the fourth webinar in its AI Empowerment series. During this webinar, I was joined by Carolyn Kalafut (Principal People Scientist at Microsoft Viva), Megan Benzing (Viva People Science Researcher) and Craig Ramsay (Viva People Science Researcher) who have been leading a research study into what it means to be ready for AI transformation as an organization.



We talked about the key insights that emerged from the research including:

  • AI and the employee experience being complementary to one another, and how a positive employee experience can help to drive successful AI transformation
  • How leaders and individual contributors are experiencing change differently, and the blind spots that leaders need to be aware of when planning an AI rollout strategy
  • How High Performing Organizations are taking a much more people-centric approach to change compared to typical organizations
  • The need to balance the excitement and hopes that employees have about AI with their concerns around data security, over-reliance on AI and job loss

The presenters wrapped up the session with some key principles for AI transformation based on their learnings from the research study. These included recognizing the scope of AI transformation and its impact, taking an agile approach and encouraging experimentation in teams, and taking a human approach to the change by leading with empathy and addressing concerns.



We invite you to watch the recording from this session, and those from our previous events in this series below. Discover more, engage with the content, and let's embark on this journey together.




AI Empowerment: Introducing our Viva People-Science series for HR

A conversation with Alexia Cambon (Modern Work Senior Director of Research at Microsoft): AI and the employee experience

AI Empowerment: Preparing your organization for AI with learnings from Microsoft

Continue reading...
 
Back
Top