Skillz alleges that Papaya misrepresented its games by using bots, which created unfair competition and caused damages amounting to hundreds of millions of dollars. Skillz's attorneys argue that the company's financial decline is directly linked to Papaya's actions, claiming that had Papaya disclosed its use of bots, it would not have been able to capture Skillz's customers and market share.
WIPO is not merely a distant UN bureaucracy; it is a dynamic, fee-driven organization that has been undergoing significant operational and cultural transformation in recent years.
In a February 2 notification sent to relevant customers, the cloud giant says it is updating its Service Terms to specify it does not have "defense or payment obligations for third-party patent claims against you related to use of these services for audio/video encoding, decoding, or transcoding." The services in question are AWS Elemental MediaLive, AWS Elemental MediaConvert, Amazon Interactive Video Service, Chime SDK, Amazon GameLift Streams, and Amazon Kinesis Video Services.
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.
They train on it and self-evaluate against it. Yet those AI-driven interfaces increasingly answer questions without sending users to the content source. Google's AI Overviews makes this obvious to many businesses in the form of dwindling search traffic. Many publishers are alarmed, having built their businesses on audience reach, page views, and advertising impressions. When AI systems summarize articles instead of referring readers, the economic model fractures.
As the AI revolution accelerates and continues to reshape traditional business models, it has triggered a cascade of new legal, regulatory and policy challenges. At the forefront of these emerging issues are a growing number of high-stakes legal battles between content creators and major Generative AI (GenAI) companies behind large language models (LLMs). This article examines key legal themes and critical questions arising from recent developments at the intersection of AI and Copyright law.
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.'