![]() Last month, the US Senate held a hearing with panelists including OpenAI CEO Sam Altman that discussed the risks of AI and the need for regulation. Industry researchers have been ringing the alarm for years on the risk of bias being baked into advanced AI models, and now EU lawmakers are considering proposals for safeguards to address some of these issues. “The issue of ensuring that AI technology is fair and representative, especially as they become more widely adopted, is a really important one that we are working actively on,” he said. Meanwhile, Canva is working on an improved and “de-biased” version of the Stable Diffusion model, which should deploy in the near future. “What we’re doing with text-to-image is to actually let users express the idea they have in their mind,” Wu said. The head of the company’s AI products, Danny Wu, said the company’s users - which include nonprofits, students, private companies and marketers - have already generated 114 million images using Stable Diffusion. Bloomberg Intelligence Analyst Mandeep Singh estimates the generative AI market could grow by 42% to reach $1.3 trillion by 2032.Īt Canva, whose visual communication platform has 125 million active users, the new image generation functionality built with Stable Diffusion has been widely adopted. ![]() The technology has the potential to transform everything from architecture design to pharmaceutical development, according to a report by Goldman Sachs. ![]() By 2025, big companies will be using generative AI tools like Stable Diffusion to produce an estimated 30% of marketing content, and by 2030, AI could be creating blockbuster films using text-to-video prompts, according to Brian Burke, a vice president of research at Gartner. Stable Diffusion is being used by other startups to generate images of human clothes models for advertising, and mainstream companies like Adobe allow users to create and edit AI-generated images directly within their software. The company has not yet begun training those models. The company has an initiative to develop open-source models that “will be trained on datasets specific to different countries and cultures, which will serve to mitigate biases caused by overrepresentation in general datasets,” the spokesperson said. “By open-sourcing our models, we aim to support the AI community and collaborate to improve bias evaluation techniques and develop solutions beyond basic prompt modification.” “All AI models have inherent biases that are representative of the datasets they are trained on,” a spokesperson for London-based startup StabilityAI, which distributes Stable Diffusion, said in an emailed statement.
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