Flag

We stand with Ukraine and our team members from Ukraine. Here are ways you can help

Get exclusive access to thought-provoking articles, bonus podcast content, and cutting-edge whitepapers. Become a member of the UX Magazine community today!

Home ›› Artificial Intelligence ›› Open AI Dev Day: Great Technology, Light on UX and Business Value

Open AI Dev Day: Great Technology, Light on UX and Business Value

by Rich Weborg
5 min read
Share this post on
Tweet
Share
Post
Share
Email
Print

Save

As someone who’s been working with the various versions of GPT and other large language models for a number of years, I was excited when ChatGPT supercharged the adoption of (and interest in) conversational AI. By putting a chat interface on their pre-trained language model, OpenAI played a major role in ushering in an accelerated and exciting era in technology. In a rapidly growing field of LLMs, their GPT models remain near the top. Attending the recent OpenAI Dev Day, I noticed that their team—including CEO Sam Altman—did a great job presenting their platform, but their mantra was “we can’t wait to see what you guys create.” 

This felt like code for, “we know this is important, but we’re not sure how, or for what.” Sadly, this theme endured through most of what was presented, I didn’t see a whole lot of holistic design in how their virtual agents (they’re calling them GPTs) will integrate into company architectures and our daily lives. The focus on UX was lacking, and perhaps by extension, so was a sense of how businesses will generate value with generative AI. It left me feeling that the industry as a whole does not yet know how to drive real business value out of the technology that OpenAI and other generative AI platforms provide. Here are some things that stood out to me about the conference and how these technologies were presented. 

What About Brand Alignment?

There are massive opportunities for businesses that can align AI with their brand identity, but I didn’t hear this addressed. Speakers partially hit on UX, showing how to customize responses (e.g. friendly, serious, detailed responses, short replies) but seemed to completely ignore the value of matching an AI to the deeper elements of a company’s brand. For example, a company like Peloton might want experiences with generative AI to model the ways their instructors communicate to riders. This could include combination tones, ranging from chipper and supportive (i.e. “You’ve got this. I know you can do it!) to challenging and blunt (e.g. “If you can’t show up for yourself, how can you show up for anyone else?”). This kind of alignment also demands lexicography or brand-approved terms and usages.

The conference lacked discussions on how to control AI responses effectively. I was expecting demonstrated mechanisms for refining AI interactions to ensure they align with a brand’s messaging and guidelines, but I didn’t hear anything about how to control what the AI can respond to or to what degree. They also missed an opportunity to provide examples of customized avatars, names, and conversational tones that could resonate with a company’s image, creating a more cohesive and engaging user experience.

How Will it Work on Different Platforms?

In terms of harnessing the power to create next-level process automation, OpenAI could have explored various platforms where their GPTs can be deployed, such as embedded in websites, in mobile apps, and used for interactive voice response (IVR) systems. Given the number of businesses across industries that will be looking to integrate generative AI, flexibility and adaptability across channels seems paramount. Conversational AI can enhance UX across diverse touchpoints, but only after these considerations have been addressed.

 What About Handling Unanswered Questions?

There was no acknowledgment of what happens when AI cannot provide satisfactory responses. Businesses need strategies for gracefully handling these situations, including options like politely declining to answer, transitioning the conversation to a different topic, or (in a business setting) connecting the user with a human in the loop. Properly designed experiences can’t leave users frustrated when faced with AI limitations. A user is less likely to re-use an agent that can not get a question answered or a task completed. Great exception handling is the bedrock of great UX.

Will There Be Human-AI Interaction?

There are so many use cases where interactions with AI can contribute to rewarding UX. These require a strategy for integrating AI seamlessly into customer service processes. This includes scenarios where AI is collaborating with human agents (the human-in-the-loop I referenced above). There’s a ton of value in creating a harmonious balance between AI and human interactions and I didn’t hear anything about it at Dev Day. This was a bit surprising given that Gartner recently predicted that by 2025, generative AI will be a workforce partner for 90% of companies worldwide [1]. Interactions between humans and machines shouldn’t be left to design themselves. These relationships will require careful calibration and ongoing collaboration between humans and machines.

Interesting and somewhat useful on their own, many of these apps could become massively rewarding if they were part of business-wide use cases.

Where Are the Real Business Use Cases?

The conference featured many intriguing examples of conversational AI in action—talking like a pirate, controlling lights, explaining board games—but they were ultimately rather frivolous. These are cool applications that seemed nearly impossible only a few years ago, but companies are looking for practical business use cases. OpenAI could have highlighted some of them. Tasks like appointment scheduling, feedback collection, real-time invoice generation, and customer support are ripe for automation using generative AI. According to a recent CNBC report, almost half of top technology officers across industries are putting AI as their top budget item over the next year, while nearly two-thirds indicated that their AI investments are accelerating. This was a staggering missed opportunity.

My Takeaways

Despite these shortcomings, the conference was thrilling. For technologists, it’s hard to imagine a more exciting time to be alive. For those of us who have been working in conversational AI for years, we finally have a way to make real human-machine interactions meaningful. Tools like OpenAI’s platform make it possible to avoid piecing applications together with various NLU tools and strict dialog-driven approaches.

However, this industry is still in its inception. For as fast-evolving as generative AI is, we can’t forget that it is just a tool, like a hammer, and not everything is a nail. It’s mission-critical to focus on real business outcomes and the UX that drives them.

We’ve all seen generative AI write poetry. It’s time to see it start generating real business value.

  1. Gartner, Gartner IT Symposium 2023 Presentation, “We Shape AI – AI Shapes Us”, Mary Mesaglio and Don Scheibenreif, Oct. 16-19, 2023
post authorRich Weborg

Rich Weborg
Rich Weborg, is a founder at OneReach.ai with 30+ years of experience in conversational design, solution architecture, and technology implementations. He’s passionate about the potential of technology to foster meaningful relationships between humans, and between humans and machines.

Tweet
Share
Post
Share
Email
Print
Ideas In Brief
  • The article provides constructive feedback on OpenAI’s Dev Day, emphasizing opportunities for improvement in brand alignment, platform adaptability, and practical business use cases, while recognizing the exciting potential of conversational AI.

Related Articles

The era of hype-driven AI products is over. It’s time for a smarter approach: building reliable, tailored tools that focus on real value for domain experts, streamline workflows, and enhance AI-human collaboration. Discover the principles guiding the next generation of AI innovation.

Article by Varun Aggarwal, Kuldeep Yadav
It Is Time to Build the 2nd Generation of AI Products
  • The article critiques first-generation AI products, highlighting the need for AI solutions to address real problems.
  • It advocates building for domain experts, ensuring AI reliability, and using tailored models for specific tasks.
  • The piece stresses creating AI-first workflows and improving AI-human collaboration for better productivity.
Share:It Is Time to Build the 2nd Generation of AI Products
6 min read

Discover how RAG, semantic search, and Graph RAG are reshaping AI-driven information retrieval.

Article by Daniel Lametti, Josh Tyson
Is RAG the Future of Knowledge Management?
  • The article explores RAG as a way to improve AI-driven knowledge management.
  • It explains how RAG helps LLMs pull in external data for more accurate answers without retraining.
  • The piece highlights semantic search and Graph RAG as key methods for organizing and finding information.
  • It shows how UX designers can use RAG to create smarter AI-powered knowledge systems.
Share:Is RAG the Future of Knowledge Management?
5 min read

AI is shifting designers from creators to curators. How can we refine AI-driven designs while keeping creativity and user needs at the core?

Article by Krunal Rasik Patel
The Future of Product Design: From Creators to Curators in an AI-First World
  • The article explores how AI shifts product designers from creators to curators.
  • It highlights AI Agents and Copilots transforming design workflows.
  • The piece stresses guiding AI outputs to ensure human-centered design.
  • It advocates mastering AI tools and curating user-centric experiences.
  • The article underscores the need for human expertise in refining AI-driven designs.
Share:The Future of Product Design: From Creators to Curators in an AI-First World
4 min read

Join the UX Magazine community!

Stay informed with exclusive content on the intersection of UX, AI agents, and agentic automation—essential reading for future-focused professionals.

Hello!

You're officially a member of the UX Magazine Community.
We're excited to have you with us!

Thank you!

To begin viewing member content, please verify your email.

Tell us about you. Enroll in the course.

    This website uses cookies to ensure you get the best experience on our website. Check our privacy policy and