
AI Image Generation Copyright: Getty Images and Stability AI face off in British copyright trial that will test AI industry, ET LegalWorld
Advt
Advt
Join the community of 2M+ industry professionals Subscribe to our newsletter to get latest insights & analysis.
Download ETLegalWorld App Get Realtime updates
Save your favourite articles
Scan to download App
Getty Images is facing off against artificial intelligence company Stability AI in a London courtroom for the first major copyright trial of the generative AI industry.Opening arguments before a judge at the British High Court began on Monday. The trial could last for three weeks.Stability, based in London, owns a widely used AI image-making tool that sparked enthusiasm for the instant creation of AI artwork and photorealistic images upon its release in August 2022. OpenAI introduced its surprise hit chatbot ChatGPT three months later.Seattle-based Getty has argued that the development of the AI image maker, called Stable Diffusion, involved "brazen infringement" of Getty's photography collection "on a staggering scale."Tech companies have long argued that "fair use" or "fair dealing" legal doctrines in the United States and United Kingdom allow them to train their AI systems on large troves of writings or images. Getty was among the first to challenge those practices when it filed copyright infringement lawsuits in the United States and the United Kingdom in early 2023."What Stability did was inappropriate," Getty CEO Craig Peters told The Associated Press in 2023. He said creators of intellectual property should be asked for permission before their works are fed into AI systems rather than having to participate in an "opt-out regime."Getty's legal team told the court Monday that its position is that the case isn't a battle between the creative and technology industries and that the two can still work together in "synergistic harmony" because licensing creative works is critical to AI's success."The problem is when AI companies such as Stability AI want to use those works without payment," Getty's trial lawyer, Lindsay Lane, said.She said the case was about "straightforward enforcement of intellectual property rights," including copyright, trademark and database rights.Getty Images "recognizes that the AI industry is a force for good but that doesn't justify those developing AI models to ride roughshod over intellectual property rights," Lane said.Stability AI had a "voracious appetite" for images to train its AI model, but the company was "completely indifferent to the nature of those works," Lane said.Stability didn't care if images were protected by copyright, had watermarks, were not safe for work or were pornographic and just wanted to get its model to the market as soon as possible, Lane said."This trial is the day of reckoning for that approach," she said.Stability has argued that the case doesn't belong in the United Kingdom because the training of the AI model technically happened elsewhere, on computers run by U.S. tech giant Amazon.The judge's decision is unlikely to give the AI industry what it most wants, which is expanded copyright exemptions for AI training, said Ben Milloy, a senior associate at UK law firm Fladgate, which is not involved in the case.But it could "strengthen the hand of either party - rights holders or AI developers - in the context of the commercial negotiations for content licensing deals that are currently playing out worldwide," Milloy said.Similar cases in the U.S. have not yet gone to trial.In the years after introducing its open-source technology, Stability confronted challenges in capitalizing on the popularity of the tool, battling lawsuits, misuse and other business problems.Stable Diffusion's roots trace back to Germany, where computer scientists at Ludwig Maximilian University of Munich worked with the New York-based tech company Runway to develop the original algorithms. The university researchers credited Stability AI for providing the servers that trained the models, which require large amounts of computing power.Stability later blamed Runway for releasing an early version of Stable Diffusion that was used to produce abusive sexual images, but also said it would have exclusive control of more recent versions of the AI model.Stability last year announced what it described as a "significant" infusion of money from new investors including Facebook's former president Sean Parker, who is now chair of Stability's board. Parker also has experience in intellectual property disputes as the co-founder of online music company Napster, which temporarily shuttered in the early 2000s after the record industry and popular rock band Metallica sued over copyright violations.The new investments came after Stability's founding CEO Emad Mostaque quit and several top researchers left to form a new German startup, Black Forest Labs, which makes a competing AI image generator.

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


India Today
44 minutes ago
- India Today
After admitting he uses ChatGPT, Narayana Murthy says management and technology graduates are same for him
As artificial intelligence continues to reshape the job landscape, confusion around which field is more relevant—technical or management—continues to linger in the minds of young graduates. While some argue that AI is driven by technical skills and therefore holds dominance, others may lean towards the importance of management skills to create a collaborative workspace between humans and AI. However, Infosys co-founder N.R. Narayana Murthy rejects this divide altogether. In his view, both fields are equally important and relevant in navigating the AI-led a recent interview with Moneycontrol, the 78-year-old software industry titan said he sees no meaningful distinction between the two educational streams. He argues that both fields simply approach problems from different angles. 'I do not see any difference between a management graduate and a technology graduate because they attack the problem at different levels,' Murthy said. 'One asks 'what,' while the other focuses on 'how'.'Murthy also expressed his disagreement with the idea that AI is a threat to human jobs in the future. He believes AI is a tool that can significantly boost human productivity. 'It is all about improving productivity. It is all about solving problems that are beyond human effort,' he added. Sharing his own experience with AI he reveals that ever since he started using ChatGPT to prepare lectures, the chatbot has significantly helped him improve his productivity. What once took him up to 30 hours now he is able to finish it in just five. 'I improved my own productivity by as much as five times,' he noted, emphasising how AI can act as an assistive agent, not a Murthy believes that AI will elevate, not eliminate, the role of the human worker. Instead of mass job losses, he anticipates that AI will bring about transformation and more jobs based on evolving skill sets. 'Everybody said when computers came to the banking sector, jobs would go away. But jobs have multiplied by a factor of 40 to 50,' he noted. On the same lines, he suggests that AI will help in making people smarter and work smarter. 'Our programmers and analysts will become smarter and smarter... They will solve bigger problems, more complex problems.'What will change, however, according to Murthy, is the kind of thinking that will be required. He believes future professionals will need to become sharper in defining problems and crafting better, more complex questions. 'The smartness is in asking the right question,' he said. According to him, the true value of human input in jobs will lie not in routine execution, but in strategic thinking and creative problem-solving.


Time of India
an hour ago
- Time of India
Inspired from Mumbai model, Noida Authority approves new redevelopment policy
Developers must ensure larger flats for original residents and arrange their accommodation until new flats are ready for possession. (AI image) The Noida Authority has implemented a new redevelopment scheme, following Mumbai's model, which aims to unlock land in prime locations of this growing Uttar Pradesh city, strengthening its real estate sector. The scheme involves demolishing existing EWS flats and constructing new ones in their place. Builders will have permission to sell additional housing units whilst providing larger flats to original residents. "We have identified 4-5 buildings, which are in a dilapidated state. When these buildings were constructed, FAR of 1.5 was allowed and now FAR of 3.5 is permissible. We will invite RFP (request for proposal) for every structure separately," said a Noida Authority official according to an ET report. Under this scheme, developers must ensure larger flats for original residents and arrange their accommodation until new flats are ready for possession. "While the policy is a much-needed step towards opening of prime land bank in the city centre, every project will come up with its own challenges. The project has to be commercially viable because buyer's preference had changed in recent times," said Nikhil Hawelia, MD, Hawelia group and secretary of industry body CREDAI (western UP). "The Noida Authority's decision can fulfil the dream of owning a home in the city's thriving sectors like 27, 93, and 93A," said Yash Miglani, MD, Migsun Group. "Allotment of higher FAR and engaging co-developers in stable projects will address the long-pending demand of stuck homebuyers and unlock immense potential for modern, vertical living spaces." The Authority has also sanctioned co-developers for five delayed projects, potentially benefiting over 5,000 awaiting homeowners. CREDAI reports 190,000 units valued at Rs 1 lakh crore are stalled across Noida, Greater Noida and Ghaziabad. Greater Noida specifically has 36 projects under insolvency proceedings. Approximately Rs 40,000 crore is due to various authorities, including principal, interest and penalties for allocated plots with ongoing real estate developments. "The (Noida Authority's) step marks a progressive step toward urban revitalisation as it unlocks a significant real estate potential, especially in the heart of the city. The redevelopment of old, dilapidated buildings with higher FAR while improving the existing structure and providing better facilities will also generate more homeownership," said Salil Kumar, director, marketing and business management, CRC Group.


Indian Express
an hour ago
- Indian Express
Google rolls out ‘Scheduled Actions' on Gemini: 4 everyday tasks you can now automate
At I/O 2025, Google introduced several new Gemini features. One of the most useful among them could be Scheduled Actions. This feature lets you set Gemini to run prompts at a set time in the future or repeat them regularly. It may seem like a minor change, but the Scheduled Actions feature opens up several new ways to interact with the AI chatbot. For instance, you can ask Gemini to do a task later, and it will remember and do it for you. You can even turn an old chat into a scheduled task. Here's a look at how exactly Scheduled Actions works and in what ways you can use the feature. The scheduling feature mostly works well, but sometimes Gemini can get confused and skip doing a future task. A simple follow-up message usually fixes the issue. Here are some limitations to accessing Scheduled Actions: –Subscription needed: This feature is only for paid users. You need a Google AI Pro or Google AI Ultra subscription if you want to access Scheduled Actions. These subscription packages are only available in the US currently. –Only 10 actions allowed: You can only schedule up to 10 tasks at a time, including one-time and repeating actions. –Location can't be updated: You can set actions based on your location, like 'Find a coffee shop near me,' but it will always use the location from where you first created the task. It won't change if you move to a new location. After scheduling an action, you can view it by tapping your profile in the Gemini app, going to Settings, and clicking 'Scheduled Actions'. You can only pause or delete tasks from there, but you can cancel them if needed. At first, the idea of asking AI to summarise emails might seem unnecessary. But if you only ask once, it saves time. For example, you can tell Gemini, 'Give me a summary of my unread emails every morning', and it will send you daily updates. You can also further customise it by asking Gemini to highlight emails from your boss or skip spam emails and newsletters. It is important to note that Gemini can make mistakes like any other AI tool. But using Scheduled Actions in this way can make for a quick look at your emails, resulting in time saved. With Workspace connected, you can ask Gemini to list all your calendar events for the week. Since it can also use Google Maps, you can ask questions like how far your doctor's appointment is from home. You can also ask for specific details or formats. For example, if you have two appointments in different areas, Gemini can add up the travel time and give you the total driving time. Sometimes you want information that isn't available yet. For example, if you want to know who won at the Oscars, you can ask Gemini now and schedule it to give you the answer once the event is done. This is even more useful for complex searches. You can also ask Gemini for specific things, like what reviewers think about the gameplay or plot of a video game. There are some cool ways to use this feature, but it is not here yet. In one demo, Gemini was asked to find new apartments each week and send a summary to the user. That kind of task needs more independence than Gemini can handle right now, but it shows how useful scheduled actions could be in the future. For now, Gemini can do simple web searches, check your emails and calendar, and help with some detailed planning. (This article has been curated by Disha Gupta, who is an intern with The Indian Express)