Google plans to reintroduce Gemini AI image tool soon
February 26, 2024 – 9:08 AM PST
BARCELONA (Reuters) – Google plans to relaunch in the next few weeks its AI tool that creates images of people, which it paused last week after inaccuracies in some historical depictions, Google DeepMind CEO Demis Hassabis said on Monday.
Alphabet’s (GOOGL.O) Google began offering image generation through its Gemini AI models earlier this month. Some users, however, flagged on social media that it generated historical images which were sometimes inaccurate.
“We have taken the feature offline while we fix that. We are hoping to have that back online very shortly in the next couple of weeks, few weeks”, Hassabis said in a panel in the Mobile World Congress in Barcelona.
The tool was not “working the way we intended”, he added.
Alphabet’s shares were down 3.5% on Monday afternoon, the biggest drag on the benchmark S&P 500 index (.SPX).
Since the launch of OpenAI’s ChatGPT in November 2022, Google has been racing to produce AI software to rival that of the Microsoft-backed company.
When Google released its generative AI chatbot Bard a year ago, it had shared inaccurate information about pictures of a planet outside the Earth’s solar system in a promotional video, causing its shares to drop by as much as 9%.
Bard was renamed Gemini earlier this month and Google rolled out paid subscription plans, which users could choose for better reasoning capabilities from the AI model.
“We are in the early stages of generative AI development but if the glitches or inaccuracies persist, that’s when people start to worry,” said Bob O’Donnell, chief analyst at TECHnalysis Research.
Reporting by Joan Faus, additional reporting by Yuvraj Malik in Bengaluru; Editing by Jan Harvey, Alexander Smith and Maju Samuel
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How can companies like Google prioritize the development of robust and reliable AI models to ensure the responsible use of AI technologies and maintain public trust
About the potential impact on society,” said Hassabis.
Google’s AI image generation tool, powered by its Gemini AI models, uses deep learning algorithms to create realistic images of people. The tool aims to assist artists, designers, and other creative professionals in generating original and diverse visual content.
However, shortly after its launch, users began pointing out inaccuracies in the historical images generated by the tool. Some of these inaccuracies included erroneous depictions of historical figures and events, leading to concerns about the tool’s reliability and potential misuse.
In response to these concerns, Google made the decision to temporarily pause the feature and work on resolving the issues. Demis Hassabis, the CEO of Google DeepMind, reassured the audience at the Mobile World Congress in Barcelona that the tool would be relaunched in the next few weeks, once the inaccuracies had been addressed.
Hassabis acknowledged that the tool was not functioning as intended and emphasized the company’s commitment to rectify the situation. He stated, “We have taken the feature offline while we fix that. We are hoping to have that back online very shortly in the next couple of weeks.”
This incident highlights the challenges and risks associated with developing and deploying AI technologies. While AI has the potential to revolutionize various industries, it also poses ethical considerations, such as the creation of fake or misleading content. Companies like Google must prioritize the development of robust and reliable AI models to ensure the responsible use of these technologies.
Google’s previous AI chatbot, Bard, faced similar issues when it provided inaccurate information about astronomical images in a promotional video. The incident resulted in a significant drop in Google’s stock value. To prevent similar incidents, Google rebranded the chatbot as Gemini and introduced paid subscription plans that allow users to access improved reasoning capabilities from the AI model.
As AI technology continues to advance, it is crucial for companies to address and mitigate any glitches or inaccuracies to maintain public trust. Flawed AI systems could have far-reaching consequences, impacting not only financial markets but also society as a whole.
This setback for Google serves as a reminder that AI development is an iterative process, and it requires thorough testing and monitoring to ensure its effectiveness and reliability. With the relaunch of its AI image generation tool, Google will need to demonstrate that it has successfully addressed the inaccuracies and implemented measures to prevent future occurrences.
The incident also underscores the need for increased transparency and accountability in the development and deployment of AI technologies. Users and stakeholders must be informed about the limitations and potential risks associated with these tools to make informed decisions and prevent the spread of misinformation.
As the competition between tech giants like Google and Microsoft-backed OpenAI intensifies, the development of AI software should prioritize not only innovation but also the responsible and ethical use of these powerful technologies. In doing so, companies can build trust with their users and foster a positive impact on society.
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