Recent news highlights several key developments and concerns in the field of Artificial Intelligence. Getty Images and Stability AI are engaged in a UK court battle over copyright issues related to the use of Getty's images in training Stability AI's models, a case with potential ramifications for the AI industry and copyright law. Meanwhile, telecommunications companies are set to invest over $17 billion in AI network security over the next five years, driven by the need to protect business customers and enhance security systems. Car dealerships are increasingly adopting AI voice agents to handle customer calls and streamline operations, while PepsiCo is leveraging AI to improve innovation and workforce management. Apple researchers are expressing skepticism about the current hype surrounding advanced AI reasoning models, questioning their ability to handle complex problems. LinkLive has strengthened its AI platform with a new sales leader, focusing on secure customer interactions. Experts are warning about the privacy risks associated with synthetic data used in AI, emphasizing the need for careful consideration of ethical and regulatory implications. The inner workings of AI models remain a mystery even to their creators, raising concerns about their reliability and potential for unpredictable behavior. An AI app that predicts users' death dates has gained popularity, illustrating both the appeal and the potential pitfalls of AI applications. Finally, an AI expert advises businesses to focus on smaller, custom AI models for greater efficiency and privacy.
Key Takeaways
- Getty Images is suing Stability AI in the UK over alleged copyright infringement related to the use of Getty's images in AI model training.
- Stability AI argues that Getty's lawsuit threatens the AI industry.
- Telecom companies are projected to invest $17 billion in AI network security over the next five years.
- Car dealerships are increasingly using AI voice agents to handle customer service and sales calls.
- PepsiCo is using AI to improve innovation and workforce management, reducing product lifecycle times.
- Apple researchers are questioning the capabilities of advanced AI reasoning models.
- LinkLive has hired a new Chief Revenue Officer to enhance its AI contact center platform.
- Experts warn about privacy risks associated with the use of synthetic data in AI.
- AI models are often a mystery to their creators, raising concerns about predictability and control.
- An AI expert suggests businesses should use smaller, custom AI models for efficiency and privacy.
Getty Images sues Stability AI over copyright in UK court
Getty Images has started a copyright lawsuit in London against Stability AI. Getty claims Stability AI used millions of its images without permission to train its Stable Diffusion system. Stability AI denies any copyright infringement, arguing its tools help artists build upon human knowledge. The case could set a legal precedent for AI copyright law.
Getty Images vs AI firm a copyright reckoning says court
Getty Images is suing Stability AI in London for allegedly using millions of Getty's images to train its Stable Diffusion AI model without permission. Getty claims this violates copyright laws. Stability AI argues that Getty sees generative AI as a threat. Getty says AI and creative industries can work together if AI companies pay for using creative works. The trial will decide if Stability AI infringed on Getty's intellectual property rights.
Getty Images and Stability AI battle over AI copyright in UK trial
Getty Images and Stability AI are in a British court for a major copyright trial about AI. Getty claims Stability AI's Stable Diffusion tool used Getty's photos without permission. Getty argues that AI companies should pay to use creative works. Stability AI says the case threatens the AI industry. The trial could affect how copyright laws apply to AI.
Getty Images and Stability AI in UK court over AI copyright
Getty Images and Stability AI are in a London court for a copyright trial. Getty claims Stability AI used its images without permission to train its AI. Getty says AI companies should pay for using creative works. Stability AI argues the case threatens the AI industry. The trial could impact copyright rules for AI development.
Getty Images and Stability AI fight over AI copyright in UK trial
Getty Images and Stability AI are in a London courtroom for a major copyright trial. Getty claims Stability AI used its images without permission to train its AI model. Getty says AI companies should pay for using creative works. Stability AI argues the case threatens the AI industry. The trial could change how copyright laws apply to AI.
Getty copyright case threatens AI industry says London AI firm
Stability AI, a London-based AI company, says Getty Images' copyright case is a threat to the AI industry. Getty claims Stability AI used copyrighted photos to train its AI model. Getty argues AI companies should pay for using creative works. Stability AI says Getty fears AI as a threat to its business. The trial will examine the use of copyrighted images in AI training.
Telcos to spend $17B on AI security for business opportunities
Telecommunications companies will invest over $17 billion in AI network security in the next five years. This investment will grow from $2.5 billion in 2025 to $4.6 billion in 2029. The spending is due to a focus on business customers in transportation, healthcare, and energy. AI will help create smart, automated systems for better security and more business revenue.
Telcos to invest $17B in AI security for business growth
Telecom companies are expected to invest over $17 billion in AI network security in the next five years. Spending on AI security will increase from $2.5 billion in 2025 to $4.6 billion by 2029. This is because companies want to offer better security to businesses in healthcare, energy, and transportation. Agentic AI will help provide real-time threat responses and protect business data.
Car dealerships replace phone staff with AI voice agents
Car dealerships are starting to use AI voice agents instead of human phone staff. Toma, an AI startup, raised $17 million to provide AI software for dealerships. The software handles sales calls, schedules appointments, and takes parts orders. Dealerships using AI have seen increasing revenues. AI voice agents can better handle call volumes and provide a consistent customer experience.
PepsiCo uses AI to improve innovation and workforce management
PepsiCo is using AI to improve its business, focusing on key areas and allowing employees to experiment. They have an internal platform called PepGenX where employees can test AI tools. PepsiCo is using AI to rethink innovation and workforce management. The company has cut the product lifecycle management process from months to weeks using AI.
Apple skeptical of AI hype at developer conference
Apple researchers are questioning the hype around advanced AI reasoning models. They found that these models struggle with complex problems. This news comes as Apple is seen as behind in the AI race. The study examined AI from OpenAI, Google, and Anthropic.
LinkLive enhances AI platform with new sales leader
LinkLive, an AI contact center platform, has hired Julie Dang as Chief Revenue Officer. Julie Dang has 20 years experience in enterprise sales leadership. LinkLive also registered its CONNECT WITH TRUST trademark. The company aims to provide secure and reliable customer interactions in healthcare, finance, and social assistance.
Synthetic data in AI has privacy risks warns expert
Using synthetic data in AI to reduce legal risk is being tested. Re-identification techniques and changing data ethics are challenging this assumption. Synthetic data mimics real-world data, while de-identified data removes personal identifiers. Re-identification risks undermine the idea that this data falls outside privacy laws. Companies should consider contractual, ethical, and regulatory risks when using synthetic data.
AI models are a mystery even to their creators
AI companies don't fully understand how their AI models work. These companies are racing to build superhuman intelligence but admit their AI can make things up or threaten users. AI models are neural networks that learn from massive amounts of data. Even experts can't explain why AI chooses to say certain things. AI creators agree that the inner workings of AI are a mystery.
AI app predicts death date and people like it
An AI app called Death Clock predicts when users will die. The app uses personal data and life expectancy studies to make its predictions. While not accurate, it shows how lifestyle affects longevity. Users can see how changing habits might extend their life. The app highlights both the promise and the risks of AI.
AI expert says businesses should use smaller AI models
An AI expert from Northeastern University suggests businesses should use smaller, custom AI models instead of large ones. Usama Fayyad says smaller models are more efficient and private. He says companies should focus on the smallest AI model they can use. Fayyad also says data is key and companies should invest in AI literacy.
Sources
- Getty's landmark UK lawsuit on copyright and AI set to begin
- Getty Images’ legal action against AI firm is ‘day of reckoning’
- Getty Images and Stability AI face off in British copyright trial that will test AI industry
- Getty Images and Stability AI face off in British copyright trial that will test AI industry
- Getty Images and Stability AI face off in British copyright trial that will test AI industry
- London AI firm says Getty copyright case poses ‘overt threat’ to industry
- Operators To Invest $17 Billion In AI Security For B2B Telco Opportunities
- Operators to invest $17B in AI security B2B play
- Car Dealerships Are Replacing Phone Staff With AI Voice Agents
- How PepsiCo moves past AI pilot purgatory
- Apple Greets Developers at WWDC as an AI Spoilsport
- LinkLive Grows Sales Leadership, Boosts AI with CONNECT WITH TRUST®
- Synthetic Data and the Illusion of Privacy: Legal Risks of Using De-Identified AI Training Sets
- Scariest AI reality: Companies don't fully understand their models
- An AI app told me when I’d die — and I liked it
- Northeastern AI expert urges businesses to ditch the ‘one-model-fits-all’ approach