those options range from "option 0", simply doing nothing and leaving UK copyright legislation in its currently uncertain state when it comes to the use of copyright materials to train AI models, through to options which would either require specific consent from rights holders in all cases ("option 1") or allow consent to be assumed by AI developers unless a rights holder objects, subject to developers being transparent about what materials have been used in training ("option 3").
New data is reinforcing a structural shift in how AI systems access publisher content: AI models are increasingly scraping publisher content, regardless of bot-blocking measures or content licensing deals meant to control usage, improve attribution or drive referral traffic. New research from analytics firms and bot-tracking companies shows AI tools are increasingly crawling publisher sites as inputs for AI-generated summaries and training, while sending back only limited referral traffic.
The Copyright Claims Board estimated that 'as much as three-quarters of its time is spent on the initial review of claims and amended claims and writing noncompliance orders explaining claim deficiencies,' according to the report. The U.S. Copyright Office on Friday released its report pursuant to the Copyright Alternative in Small-Claims Enforcement (CASE) Act, finding that the Copyright Claims Board (CCB) is largely successful but that there is 'room for improvement in various respects.'
A few years ago, I put together what I felt was a truly innovative concept, which I presented in a conference poster at an international meeting in my field. After the presentation, I spoke to another early-career scientist about my work and how it might apply to their findings. Two years later, they scooped me by publishing a preprint paper that presented my idea, with many of the same verbal formulations and an identical flow of ideas, without any acknowledgement or attribution to my work.
