The deeper we get into the AI-powered era we're recognizing that stacking an OpenAI integration on top of your business and product will likely lead to very inconsistent and often incorrect results.
The AI products being sold and hyped up will work for broad, information-seeking and summarization tasks. They shouldn't be considered reliable and augmentative until the tools are perfectly mapped to how your team already delivers effective results. Enterprises have the advantage of building out complex implementations that pull in a range of data sets to power and focus the capabilities. For everyone else, making them effective is harder but there is a path forward.
AI-powered tools go from experimental to effective once they have situational context and a clear way to evaluate success. You have to use journey mapping techniques to map the current breakdowns and paths to success. You have to use service design to conceptualize new ways of delivering value across a system (varied inputs and outputs), and leverage user research to quantify the activities that positively and negatively impact value drivers.
Message me if you want to chat about this in more detail.
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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 overreliance 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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