Testing Gen AI: Assessing Risks and Opportunities

The machines have arrived, but they still require the human touch

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

LEADING COMPANIES UNDERSTAND DIGITAL EXPERIENCE

Applause is the global leader in managed software testing services. Through AI, automation and the world’s largest independent testing community, we help enterprises validate every aspect of their digital experiences at scale. Top brands trust Applause for end-to-end expertise and end-user insights on demand, to accelerate functional testing, AI evaluation, accessibility testing, payment testing and more.