How can Generative AI improve your organization’s ways of working?
Generative AI (GAI) is a cutting-edge technology that enables machines to create content. From the text-based interactions of ChatGPT to the visual and audio creations that are now possible, GAI is revolutionizing how the workforce perceives and interacts with technology. Leveraging GAI tools to streamline processes and foster innovation in the workplace requires human collaboration, intentionality, and an ethical approach.
The experts in this EXLEARN Talks episode share practical experiments that can help employees learn how to use GAI tools to enhance their ways of working and shift from a fear-based mindset to one rooted in curiosity. They provide insights on the following questions:
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- 7:48: What is Generative AI and how is it different than traditional forms of artificial intelligence?
- 9:54: How did you get started with AI?
- 13:26: How do you balance managing the speed of the GAI evolution and your excitement around it with the ethical and safety aspects that are required to use these tools responsibly?
- 17:18: How do mindsets need to shift as GAI continues to evolve?
- 24:58: How will GAI impact the workplace and the ways in which we work in the near term and the future?
- 33:59: What will the transition look like to move from using GAI on an individual level to the organizational level? What changes need to happen?
- 42:05: What are your favorite examples of how you or others have leveraged GAI?
Highlights from the Panelists:
“Where I see [GAI work really] well is where people are leaning in and [asking] How is this improving what we’re already doing? I think that’s one of the secrets of AI in general… I would challenge everybody to think about the things you’re not doing and [ask yourself] Could [GAI] help us achieve something that formerly wasn’t possible?“
– Christopher Lind, VP, Chief Learning Officer at ChenMed and Founder of Learning Sharks
“[GAI] blends the lines between a tool and a human. If you interact with a hammer, it has limited ways of working… With [GAI], you’re interacting with it in a more complex and nuanced way, and I think it’s more appropriate to think of it as a relationship more so than a tool. You have to get to know it so that you understand where it’s reliable and where it’s not. If you transition [to thinking about GAI as] something you can have a relationship with, you can start to set the appropriate boundaries for how to use it.”
– Ian Cooley, Director of Digital Strategy and Operations at TiER1 Performance
