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The Skynet Effect: How HR Can Best Utilize AI

September 28, 2023
The Skynet Effect: How HR Can Best Utilize AI
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About the webinar:

AI this, AI that. No matter where you go, AI seems to be all anyone in HR wants to talk about. It might be a little irritating, but it’s inescapable for a good reason. Artificial intelligence, specifically ChatGPT, is now an important topic of conversation for all industries.

Like anything new, there are plenty of questions and misconceptions about how AI will change workplace dynamics. But modern AI isn’t Skynet trying to take over the world, and instead of fearing it, your organization can embrace the efficiencies and positive impacts that it offers.

Viewers will learn about:

  • How to better understand AI, specifically ChatGPT
  • Use cases for AI in the employer space
  • Considerations and questions to ask when evaluating an AI vendor
  • Concerns about AI affecting HR employment availability
  • How AI can enhance HR jobs when used responsibly

Speakers:

Iveta Brigis
Vice President, People Operations, Lark Health

Iveta is an experienced people operations (HR) leader with a track record of building innovative teams and programs in fast-growth environments. Expertise includes overall HR strategy and design, manager & leadership development, team effectiveness, hiring, compensation, performance management, organizational culture, people analytics, diversity & inclusion, and internal and external communication. She has a passion for and knowledge of high-tech and artificial intelligence companies, high-growth organizations, and philanthropic and educational institutions.

Wesley Pasfield
Head of Data Science, Lark Health

I have a passion for problem-solving and using advanced data analysis to inform business decision-making, as well as extensive experience leveraging statistical modeling, machine learning, and predictive analytics in an industry setting. I have a proven ability to convey highly quantitative material to technical & non-technical audiences, and in my current role primarily focus on architecting, developing, and deploying AWS-based machine learning applications. I have experience leading data science teams of both direct reports and within a project/engagement setting.

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