We Can Now Track AI-generated Content. It Doesn’t Solve the Real Problem.
Identifying AI content is now embedded in Claude models. It doesn’t solve the problem we have. It also creates others.
Identifying AI content is now embedded in Claude models. It doesn’t solve the problem we have. It also creates others.
[…] are struggling with bot management, it’s clear these approaches bring their own problems: significant ongoing maintenance; a poorer user experience; privacy concerns; steep technical learning curves; and, ultimately, they just don’t work that well. Our own experience has been similar, […]
[…] and then prioritization of the version of record; inclusion of retractions, corrections and rebuttals in the content processing; bias mitigation; privacy protections; and transparency throughout the process. Importantly, the paper summarizes the key values of scholarly publishing and why each […]
[…] process that may become problematic if outsourced (even in part) to GenAI because of issues associated with intellectual property and privacy of study participants. However, it is likely that, in the near future, the volume of paper submissions will increase […]
[…] from previous technology waves in many ways. It not only hits all the traditional trigger points for librarians, such as privacy, access to information, misinformation, digital equity, copyright, transparency, and accountability, but it is also notably one of the fastest-evolving […]
[…] and do, proliferate on the web far beyond the purview of publishers, making it practically impossible (and legally difficult given privacy requirements) to track down and collect, let alone analyze, usage data. Progress Given these unique challenges, it has been […]
[…] institutional policies allow the use of unpublished manuscripts in AI tools. Uploading confidential work without safeguards could violate trust and privacy. Publishers should provide guidance on the privacy and security risks of the use of AI tools. Judge the research, […]
[…] external AI platforms. They may not have been clearly informed that this may constitute a breach of intellectual property, confidentiality, privacy, or other rights. The content they share could very well be ingested (and possibly reused) by the tools. The […]
[…] drive public opinion toward a particular outcome. The library community collectively has been fierce advocates for intellectual freedom and user privacy, notably Dr. Hayden herself. In 2003, Dr. Hayden, then serving as President of the ALA, engaged in a public […]
[…] and hence do not possess the deep understanding required to evaluate complex or highly specialized research, especially in cutting-edge fields. Privacy issues also arise, as using AI involves handling sensitive manuscript data, raising concerns about data security, confidentiality, and compliance […]
[…] and ensure that recommendations are data-driven and reliable. The ability to trace the sources behind the tool’s suggestions is crucial. Privacy and Compliance: Adherence to regulations like GDPR and the EU AI-Act is essential to ensure that privacy and copyright […]
In response to consumer concerns, Google announces its new Opt-Out Village. Happy Friday!
[…] or signed-in to their library’s systems. This calls for better mechanisms for distributed usage logging, but also raises some major privacy concerns, as brought to light by my fellow Scholarly Kitchen Chef Lisa Hinchliffe. Librarians have long stood as guardians […]
[…] for faculty. As with any rapid transition, many issues came to light quickly in the process, such as security and privacy. Much has been made of the security and privacy concerns of the Zoom platform, although some of these challenges […]
[…] for library subscriptions, but doing little to address the most important source of leakage while also unfortunately introducing powerful new privacy dilemmas along the way. In addition, publishers have been looking for alternative distribution mechanisms for their content. After distributed […]