A Cost-Benefit Analysis of Generative AI at the Community Level

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The physical manifestation of the push for large-scale generative AI adoption is a worldwide push for seemingly limitless numbers of massive AI manufacturing facilities. These facilities are built in communities, often small towns, on the promise of overwhelming near and long-term economic benefits. But there are real costs to be considered. And the promised benefits are often not realized in full. This discussion will detail the tradeoff decisions communities are faced with when considering a data center proposal, and illuminate why so many communities are concluding that the risks outweigh the benefits.



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  • VSK Murthy Balijepalli (Krish)
    Chair, Webinars and Outreach SC, SSIT EduCom
    drkrish@ieee.org

  • Starts 07 March 2026 05:00 AM UTC
  • Ends 12 March 2026 04:00 AM UTC
  • No Admission Charge


  Speakers

Masheika of AllAI Consulting, LLC

Topic:

A Cost-Benefit Analysis of Generative AI at the Community Level

The physical manifestation of the push for large-scale generative AI adoption is a worldwide push for seemingly limitless numbers of massive AI manufacturing facilities. These facilities are built in communities, often small towns, on the promise of overwhelming near and long-term economic benefits. But there are real costs to be considered. And the promised benefits are often not realized in full. This discussion will detail the tradeoff decisions communities are faced with when considering a data center proposal, and illuminate why so many communities are concluding that the risks outweigh the benefits.

Biography:

Masheika Allgood is an AI Ethicist and the founder of AllAI Consulting, LLC, a platform for providing AI education to people with non-technical backgrounds. She served as a Board Member and wrote the Technical Best Practices Product Management section for the Foundation for Best Practices in Machine Learning. She is an active member of the IEEE and is currently a drafting member of the P7100 - Environmental Impacts of Artificial Intelligence Working Group. Masheika's first foray into AI ethics was as the founder and lead of NVIDIA's first AI Ethics Workgroup, an international, crossfunctional working group of internal experts and senior leadership tasked with developing a structure and methodology for systematically addressing ethics in AI. Masheika holds an LL.M in Litigation and Dispute Resolution from the George Washington University School of Law, a Juris Doctorate from Florida State University, and a Masters in International Business from Florida International University.

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Address:United States





Agenda

Presentation: 11 AM (eastern time zone).