Tech Field Day

The Independent IT Influencer Event

  • Home
    • The Futurum Group
    • FAQ
    • Staff
  • Sponsors
    • Sponsor List
      • 2026 Sponsors
      • 2025 Sponsors
      • 2024 Sponsors
      • 2023 Sponsors
      • 2022 Sponsors
    • Sponsor Tech Field Day
    • Best of Tech Field Day
    • Results and Metrics
    • Preparing Your Presentation
      • Complete Presentation Guide
      • A Classic Tech Field Day Agenda
      • Field Day Room Setup
      • Presenting to Engineers
  • Delegates
    • Delegate List
      • 2025 Delegates
      • 2024 Delegates
      • 2023 Delegates
      • 2022 Delegates
      • 2021 Delegates
      • 2020 Delegates
      • 2019 Delegates
      • 2018 Delegates
    • Become a Field Day Delegate
    • What Delegates Should Know
  • Events
    • All Events
      • Upcoming
      • Past
    • Field Day
    • Field Day Extra
    • Field Day Exclusive
    • Field Day Experience
    • Field Day Live
    • Field Day Showcase
  • Topics
    • Tech Field Day
    • Cloud Field Day
    • Mobility Field Day
    • Networking Field Day
    • Security Field Day
    • Storage Field Day
  • News
    • Coverage
    • Event News
    • Podcast
  • When autocomplete results are available use up and down arrows to review and enter to go to the desired page. Touch device users, explore by touch or with swipe gestures.
You are here: Home / Videos / Generative AI Tools – What Could Go Wrong? with Gina Rosenthal

Generative AI Tools – What Could Go Wrong? with Gina Rosenthal



Edge Field Day 2


This video is part of the appearance, “Ignite Edge Field Day 2“. It was recorded as part of Edge Field Day 2 at 14:00-15:30 on October 4, 2023.


Watch on YouTube
Watch on Vimeo

In this Edge Field Day Delegate Ignite Talk, Gina Rosenthal discusses the promising growth of generative AI technology, which leverages machine learning to generate predictive data and discern patterns. However, she emphasizes the potential pitfalls associated with generative AI. The technology can perpetuate bias, particularly when trained on data from the internet, which may have inherent biases due to historical demographics. Additionally, the environmental and ethical concerns surrounding generative AI are significant, from the high computational power and energy requirements to the potential for creating or spreading harmful content. Rosenthal calls for a more cautious and responsible approach to utilizing generative AI, emphasizing the importance of understanding its limitations and risks while recognizing that human creativity and critical thinking remain essential, ensuring a balanced perspective on its practical applications without undue reliance.

Personnel: Gina Rosenthal

  • Bluesky
  • LinkedIn
  • Mastodon
  • RSS
  • Twitter
  • YouTube

Event Calendar

  • Nov 5-Nov 6 — Networking Field Day 39
  • Nov 11-Nov 12 — Tech Field Day at KubeCon North America 2025
  • Jan 28-Jan 29 — AI Infrastructure Field Day 4
  • Mar 11-Mar 12 — Cloud Field Day 25
  • Apr 29-Apr 30 — Security Field Day 15
  • May 6-May 8 — Mobility Field Day 14
  • May 13-May 14 — AI Field Day 8

Latest Coverage

  • The Hidden Complexity of Edge AI—And the Platform Built to Tame It
  • Wharton’s AI Report, Tech Field Day Vibes & Data Centers in Space
  • Pure Storage Fusion V2: Shifting From Siloed to Cloud-Focused Storage
  • Beyond the Hype: The Promise and Practicality of NetApp’s New AI Strategy
  • HPE: Optimizing Hybrid Cloud For Success

Tech Field Day News

  • Exploring How AI Transforms the Enterprise Network at Networking Field Day 39
  • Exploring the Future of Enterprise AI Deployment and Innovation at AI Field Day 7

Return to top of page

Copyright © 2025 · Genesis Framework · WordPress · Log in