Testing Generative AI Applications: How to Reduce Risk and Drive User Adoption


Are your AI applications ready for rollout?

Generative AI is a clear disruptor…moving faster than all other technologies. It is also driving a set of new risks and challenges that need to be considered in your testing strategy. Generative AI applications can struggle with inaccurate information, biased and inappropriate content, as well as technical and user experience issues. Add in the rapidly evolving ethical and regulatory environment, and you've got a lot of issues to consider in safely deploying generative AI applications.

Watch Bret Kinsella, CEO and Synthedia, and Chris Sheehan, SVP and General Manager of High Tech and AI for Applause, for a discussion on these important topics.


  • The current state of the generative AI market, emerging use cases, and regulatory environment
  • Key risks to consider in deploying generative AI applications
  • Critical elements to include in an effective testing strategy to lower risk and increase user adoption


Bret Kinsella

Bret Kinsella

Founder and & Synthedia

Bret is founder, CEO, and research director of and Synthedia. He was named commentator of the year by the Alexa Conference in 2019 and is widely cited in media and academic research as an authority on voice assistants and AI. He is also the host of the Voicebot Podcast and editor of the Voice Insider newsletter.

Chris Sheehan

Chris Sheehan

SVP & General Manager, Strategic AccountsApplause

As SVP and GM, Strategic Accounts, Chris enables the success of Applause’s strategic account business including strategy, sales and operations to ensure continued growth and customer success of Applause’s largest customers. Chris has over 22 years of experience with high-growth companies as an operating executive, investor and board member.


Applause is the worldwide leader in crowdsourced digital quality testing. With testers available on-demand around the globe, Applause provides brands with a full suite of testing and feedback capabilities. This approach drastically improves testing coverage, eliminates the limitations of offshoring and traditional QA labs, and speeds up time-to-market.