Anthony LaFauce | Source | Managing Director at Clyde Group
Anthony LaFauce
Anthony LaFauce has almost 20 years of experience in public relations and public affairs, and has served a variety of clients including top pharmaceutical companies, trade associations, and government agencies. His varied life experience, including service in the U.S. Navy, has equipped him with a deep understanding of complex technological fields, including computer logic and digital theory.
LaFauce served our nation and clients with a similar level of respect, integrity, and determination, running grassroots programs around some of the toughest issues facing the world and workplaces today. He is also an accomplished speaker and an adjunct instructor at The American University in Washington, D.C.
LaFauce has won a number of awards, including several Tellies for his advertising work and several Aggies for his work in the crop protection space. He serves on the board of UNHCR/USA, the UN Refugee Agency, where he continues his work in public service by ensuring that refugees across the United States are protected.
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Clyde Group (https://clydegroup.com)
Managing Director
started Jul 2020 -
American University
Professor
started Jan 2013
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AI can do PR, but should it?
ChatGPT can make a press release or corporate statement, but experts say good comms is a human responsibility.
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Agriculture struggles to compete with environmental justice advocates
During a keynote luncheon at the conference, Anthony LaFauce, a public relations director at the Clyde Group, told the PCAs that agriculture must control the narrative and that while Californians don’t care about farmers specifically, they want to know farmers love farming and are providing them with security in maintaining the food supply.
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Russia’s Military Failures Provide Lessons for PR Leaders' Success - PRNEWS
Some of Russia's operational blunders in Ukraine offer lessons in leadership for PR pros. Delegate, inform and trust your team.
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AI Bias: Understanding and Mitigating Skewed Data in LLM Models
Anthony explains AI bias as "skewed responses due to training data and user prompts." Unlike AI hallucinations, bias stems from inherent data flaws. He suggests businesses use diverse teams to review AI outputs and employ checklists to identify bias. Asking AI to self-check can also reveal biases, highlighting the need for human oversight.
