Testing Generative AI: Mitigating Risks and Maximizing Opportunities

Generative AI (Gen AI) holds great potential for business, but also introduces novel risks. To reduce risk across four risk categories (inaccuracy, bias, safety and security), organizations must incorporate human feedback and judgement into testing. Simply relying on automated testing is insufficient, even as AI technologies become increasingly sophisticated. Learn how a human-in-the-loop approach helps developers to refine AI responses to better meet human expectations and address complex ethical issues.

WHAT YOU'LL LEARN:

• Common pitfalls and challenges in testing Gen AI
  
• The role of red teaming and how to develop effective test teams
  
• Case studies highlighting some best practices in testing different Gen AI use cases
  

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.