C[x]O Insights: Three Quick Things from Google Next 2024

As Left Field LabsCEO Sarah Mehler shared at Google Next: with growth in AI utilization, a critical question to consider is how do we build trust with audiences when considering AI implementation? Striking the right tone in AI-enabled communications is a primary step. And remember that communication that reflects cultural and demographic nuances is what ultimately resonates with audiences and builds trust in new systems. Well-practiced organizations will apply sentimentanalysis to better understand the emotions of a user and provide appropriate responses (thus driving traction and building more successful outcomes).

Attention to detail is also crucial for building trust in AI implementations. A "Chain of Verification" is one of several methods that can be employed to enhance the accuracy of information provided by AI systems. This process involves multiple steps to validate information before it is conveyed to the user. For instance, after our language model generates a response, we can employ a separate validation model to scrutinize the facts within that response. This secondary check helps to identify and correct any inaccuracies or 'hallucinations'-instances where the model generates false or misleading information. By systematically verifying data through multiple layers, we can provide more reliable and trustworthy outputs.