The University of Chicago’s Nightshade is designed to poison AI models

The University of Chicago’s Nightshade is designed to poison AI models AI News, AI, AI tools, DailyAI, Innovation, itinai.com, LLM, Sam Jeans, t.me/itinai **Introducing Nightshade: Safeguarding Artwork from Unethical Data Practices in AI** *Overview* A team of developers from Chicago has introduced Nightshade, a tool that shields digital artwork from unauthorized use in AI training by introducing deceptive 'poison' samples to confuse AI models. *How Nightshade Works* Nightshade subtly alters critical visual elements within an artwork to mislead AI models, preventing them from accurately learning or replicating the artist’s style. *Using Nightshade* Nightshade requires a compatible Nvidia GPU with at least 4GB of memory. Users can select artwork, adjust parameters, choose the output directory, select a 'poison' tag, and run Nightshade to save altered images. *Nightshade’s Reception* While receiving support from artists, there has been debate about Nightshade’s impact. However, the tool aims to deter model trainers who disregard copyrights and ethical data practices. *How Nightshade Works in 5 Steps* Nightshade executes prompt-specific poisoning attacks to introduce errors into AI’s learning process, leading to targeted mistakes when the AI generates images based on certain prompts. *Practical Application of AI Solutions* To evolve with AI, middle managers can identify automation opportunities, define KPIs, select a suitable AI solution, and implement gradually to stay competitive and redefine their way of working. *Spotlight on a Practical AI Solution* Consider the AI Sales Bot designed to automate customer engagement 24/7 and manage interactions across all customer journey stages, offered by itinai.com. **Useful Links** - AI Lab in Telegram @aiscrumbot – free consultation - The University of Chicago’s Nightshade is designed to poison AI models - DailyAI - Twitter – @itinaicom