Google Commits to Correcting Gemini’s Biased and Inaccurate Image Generation
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Google’s Gemini model has come under fire for its production of historically-inaccurate and racially-skewed images, reigniting concerns about bias in AI systems.
The controversy arose as users on social media platforms flooded feeds with examples of Gemini generating pictures depicting racially-diverse Nazis, black medieval English kings, and other improbable scenarios.
Google Gemini Image generation model receives criticism for being ‘Woke’. Gemini generated diverse images for historically specific prompts, sparking debates on accuracy versus inclusivity. pic.twitter.com/YKTt2YY265
Simultaneously, commenters highlighted Gemini’s decision not to portray Caucasians, San Francisco’s churches, and sensitive history such as the 1989 Tiananmen Square protests out of respect for indigenous concerns.
Jack Krawczyk, the product lead for Google’s Gemini Experiences, acknowledged the situation and vowed to resolve it in response to the outcry. Krawczyk posted on social media platform X to reassure users:
We understand that Gemini is presenting inaccuracies in some historical imagery generation depictions and are working to correct this immediately.
In accordance with our AI principles https://t.co/BK786xbkey, we develop our imagery generation functions to represent our global user base, and we…
Google states it is currently putting the generation of people images on hold:
We’re already working to address recent issues with Gemini’s image generation feature. While we do this, we’re going to pause the image generation of people and will re-release an improved version soon. https://t.co/SLxYPGoqOZ
While acknowledging the need to address diversity in AI-generated content, some argue that Google’s response has been an overcorrection.
Marc Andreessen, the co-founder of Netscape and a16z, recently created an “outrageously safe” parody AI model called Goody-2 LLM that refuses to answer questions deemed problematic. Andreessen warns of a broader trend towards censorship and bias in commercial AI systems, emphasising the potential consequences of such developments.
Addressing the broader implications, experts highlight the centralisation of AI models under a few major corporations and advocate for the development of open-source AI models to promote diversity and mitigate bias.
Yann LeCun, Meta’s chief AI scientist, has emphasized the necessity of cultivating a diverse ecosystem of AI models that is comparable to the need for a free and diverse press:
We require open source AI foundation models to enable the creation of a wide variety of specialized models on top of them. We need a free and diverse range of AI assistants for the same reasons we need a free and diverse press. They need to represent the diversity of languages, cultures, … https://t.co/9WuEy8EPG5
Bindu Reddy, CEO of Abacus.AI, shares similar apprehensions about the accumulation of power in the absence of a robust ecosystem of open-source models:
If we lack open-source LLMs, history will entirely be distorted and obscured by proprietary LLMs. We already live in a perilous and censored world where expressing one’s thoughts is not permitted. Censorship and power concentration are indeed the very essence of an…
Continuing discussions about the ethical and practical implications of AI underscores the increasing importance of transparent and inclusive AI development frameworks.
(Photo credit: Matt Artz on Unsplash)
Refer also to: Reddit is reportedly selling data for AI training
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Tags: ai, artificial intelligence, bias, chatbot, diversity, ethics, gemini, Google, google gemini, image generation, Model, Society
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