Artwork
iconShare
 
Manage episode 513770381 series 3310961
Content provided by KPA. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by KPA or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

In this episode of The Safety Meeting, KPA's Senior Director of Product Management, Jade Hendrix, shares her expertise on the integration of AI technology with workplace safety programs. With 17 years of experience in B2B SaaS technology, Hendrix discusses the distinction between generic chatbots and purpose-built AI, exploring how purpose-built AI can help proactively correlate safety data to predict future risks. She stresses that AI should be used as a decision support tool rather than a decision-maker, highlighting the importance of high-quality data for AI effectiveness. Hendrix also delves into the future possibilities of AI, underscoring that while AI can enhance safety program efficiency and insights, it does not replace human judgment and the need to cultivate a robust safety culture.

  • (00:16) Welcome KPA’s Jade Hendrix
  • (00:56) Understanding Purpose-Built AI for EHS
  • (02:45) AI's Role in Identifying Risks and Patterns
  • (04:57) Accountability and Decision Support with AI
  • (06:34) Importance of Data Quality for Effective AI
  • (08:30) Context in Photo Hazard Recognition
  • (10:50) Automation vs. Strategic Insights
  • (13:27) Evaluating AI Solutions for Safety Programs
  • (15:54) The Future of AI in Safety
  • (18:37) Final Thoughts

Thanks for joining another episode of The Safety Meeting, the podcast that makes you smarter about current trends and best practices in workforce safety. From employee engagement to actionable data, and everything in between, tune in to hear how you can work more safely.

If you'd like to receive new episodes as they're published, please subscribe to The Safety Meeting in Apple Podcasts, Spotify or wherever you get your podcasts. If you enjoyed this episode, please consider leaving a review in Apple Podcasts or Spotify. It really helps others find the show.

Podcast episode production by Dante32.

  continue reading

55 episodes