Google CEO Sundar Pichai Deems Gemini AI Error ‘Unacceptable’, Announces Fix Efforts & New AI Launch Processes

Google CEO Sundar Pichai, in a recent memo, acknowledged issues with the company’s Gemini AI image generator, which had been taken offline due to biases and inaccuracies that upset users.

The tool, known for creating images from user prompts, faced backlash for historical inaccuracies, prompting Google to temporarily remove it for enhancements. Pichai emphasized ongoing efforts to correct these problems and announced the introduction of better launch processes and structural changes for AI products.

Here is the full memo:

I want to address the recent issues with problematic text and image responses in the Gemini app (formerly Bard). I know that some of its responses have offended our users and shown bias — to be clear, that’s completely unacceptable and we got it wrong.

Our teams have been working around the clock to address these issues. We’re already seeing a substantial improvement on a wide range of prompts. No AI is perfect, especially at this emerging stage of the industry’s development, but we know the bar is high for us and we will keep at it for however long it takes. And we’ll review what happened and make sure we fix it at scale.

Our mission to organize the world’s information and make it universally accessible and useful is sacrosanct. We’ve always sought to give users helpful, accurate, and unbiased information in our products. That’s why people trust them. This has to be our approach for all our products, including our emerging AI products.

We’ll be driving a clear set of actions, including structural changes, updated product guidelines, improved launch processes, robust evals and red-teaming, and technical recommendations. We are looking across all of this and will make the necessary changes.

Even as we learn from what went wrong here, we should also build on the product and technical announcements we’ve made in AI over the last several weeks. That includes some foundational advances in our underlying models e.g. our 1 million long-context window breakthrough and our open models, both of which have been well received.

We know what it takes to create great products that are used and beloved by billions of people and businesses, and with our infrastructure and research expertise we have an incredible springboard for the AI wave. Let’s focus on what matters most: building helpful products that are deserving of our users’ trust.

Featured image: Credit: Photographer: Lukasz Kobus (European Commission), Wikipedia

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