Employers and the media are pressuring us to adopt AI quickly. But overreliance on large language models poses huge risks. Not only is GenAI highly likely to make mistakes, we’re putting the entire data set of our businesses at risk if we take AI results as immediate truth.

In this episode we discuss and debate the risks and remedies for businesses rushing to adopt AI for core work flows and services. Listen to this episode to learn about:

➤ The impact of time pressure on teams on production & quality

➤ Risks of over reliance on technology that’s frequently incorrect

➤ Importance of focused use cases and training data

➤ Recognizing the importance of expertise & critical analysis

➤ Pinpointing how to best leverage AI to improve workflows

Today we’re trying out a new format which we plan to include between quest episodes from time to time. This allows us to share our own experience as consultants and practitioners, and to bring together learnings across multiple interviews. If you want to see more episodes like this,please reach out and let us know.

Brittany Hobbs is VP of Insights at Huge, a global design and technology consultancy. I lead research initiatives to build the next generation of consumer and business applications for the world’s biggest brands. My focus is on humanizing technology at scale, often leveraging AI to discover breakthroughs in human-computer interaction.

https://www.linkedin.com/in/brittanyhobbs/

My co-host is Arpy Dragffy Guerrero. He is the Founder & Principal Strategist at PH1 Research. He researches and maps how organizations should leverage emerging technologies to improve products and services. By combining behavioral science and service design methods with UX strategy, he won clients such as Spotify, Microsoft, Mozilla, the National Football League, and dozens more across the private and public sectors.

https://www.linkedin.com/in/adragffy/

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32. Overreliance on AI is a Problem that only Expertise can Solve [Brittany Hobbs & Arpy Dragffy]

Product Impact Podcast | Design of AI, UX, KPIs, Future of Work