Google Expands AI-Powered Feedback Tools for Gemini and Google Cloud

Google is actively enhancing its Gemini family of AI models and Google Cloud offerings with improved feedback mechanisms, aiming to refine accuracy, safety, and overall user experience. These updates provide users with more avenues to report issues and contribute to the ongoing development of these powerful AI tools.

Providing Feedback on Gemini Apps

Users of Gemini Apps now have streamlined methods for providing feedback directly within the application. After receiving a response, users can indicate whether it was a “Good response” or “Bad response.” This simple binary feedback system is augmented by optional features allowing users to specify the reason for their rating. More detailed feedback can be entered in a text field, and users can choose to include any uploaded files or images with their submission. Learn more about providing feedback on Gemini Apps.

It’s important to note that all submitted feedback, including prompts, responses, and uploaded content, is collected and used in accordance with Google’s Privacy Policy. Users with work or school accounts accessing Gemini Pro may have limited options for adding additional feedback or attaching content.

Feedback for Gemini for Google Cloud

For developers utilizing Gemini for Google Cloud, Google offers a dedicated feedback channel. Users can submit feedback through the Gemini for Google Cloud survey. This survey focuses on the quality of responses generated by prompts and allows users to provide input on the prompts themselves, aiding in the continuous improvement of the model. The survey is estimated to take approximately five minutes to complete.

Developers using Gemini Code Assist within VS Code or IntelliJ plugins have even more direct feedback options. Within VS Code, feedback can be submitted via the status bar or the Command Palette. IntelliJ users can provide feedback directly after receiving a response from Gemini Code Assist, utilizing a negative feedback option and a dedicated feedback form. These IDE integrations encourage frequent and contextual feedback from developers.

Google Classroom Integrates AI-Suggested Feedback

Google is also extending AI-powered feedback capabilities to the education sector. Google Classroom has recently launched AI-suggested feedback, powered by Gemini, to assist educators in drafting responses to student writing assignments. This integration aims to reduce teacher workload and provide students with more timely and constructive feedback.

The Importance of User Feedback

Google emphasizes the critical role of user feedback in shaping the future of its AI products. By actively soliciting and incorporating user input, Google aims to create AI models that are not only powerful and versatile but also safe, accurate, and aligned with user needs. The company encourages users to utilize the available feedback mechanisms to contribute to the ongoing evolution of Gemini and Google Cloud.