Large-scale diffusion models, known for their impressive image generation capabilities, have raised concerns among researchers regarding social impacts, such as the imitation of copyrighted artistic styles. In response, existing approaches turn to machine unlearning techniques to eliminate unsafe concepts from pre-trained models. However, these methods compromise the generative performance and neglect the coupling among multi-concept erasures, as well as the concept restoration problem. To address these issues, we propose a Separable Multi-concept Eraser (SepME), which mainly includes two parts: the generation of concept-irrelevant representations and the weight decoupling. The former aims to avoid unlearning substantial information that is irrelevant to forgotten concepts. The latter separates optimizable model weights, making each weight increment correspond to a specific concept erasure without affecting generative performance on other concepts. Specifically, the weight increment for erasing a specified concept is formulated as a linear combination of solutions calculated based on other known undesirable concepts. Extensive experiments indicate the efficacy of our approach in eliminating concepts, preserving model performance, and offering flexibility in the erasure or recovery of various concepts.

After several stop-starts, artificial intelligence, or AI, is now the single most important driver shaping the future of work, but has proved itself to be evolutionary rather than revolutionary. So says Ian Jones, co-founder and chief strategy officer at the business software developer AMPLYFI. While it cannot transform a firm overnight, nor be "a silver bullet to business leaders' painpoints", it can deliver "incremental improvements to productivity or planning" provided realistic expectations are set, Mr Jones says. AI in HR can make a positive impact across everything from recruitment and retention to fostering staff wellbeing, enriching jobs and protecting against brain drain, he believes. As information overload intensifies, the ability of AI to process big data at a speed, scale, and accuracy that humans cannot match will reduce stress among all knowledge workers.

NEW YORK: Two paintings up for auction in New York highlight a growing interest in artificial intelligence-created works - a technique that could transform how art is made and viewed but is also stirring up passionate debate. The art world was stunned last year when an AI painting sold for $432,500, and auctioneers are keen to further test demand for computer-generated works. "Art is a true reflection of what our society, what our environment responds to," said Max Moore of Sotheby's. "And so it's just a natural continuation of the progression of art," he added. Sotheby's will put two paintings by the French art collective Obvious up for sale on Thursday, including'Le Baron De Belamy'.