Legal Experts Agree: Georgetown Law Dean Gave Master Class On How To Fight Trump’s Anti-DEI Crusade
How has Russia’s economy dodged Western sanctions? DW
We Compared Eight AI Search Engines. They’re All Bad at Citing News.
Columbia Journalism Review: “AI search tools are rapidly gaining in popularity, with nearly one in four Americans now saying they have used AI in place of traditional search engines. These tools derive their value from crawling the internet for up-to-date, relevant information—content that is often produced by news publishers.
Yet a troubling imbalance has emerged: while traditional search engines typically operate as an intermediary, guiding users to news websites and other quality content, generative search tools parse and repackage information themselves, cutting offtraffic flow to original sources.
These chatbots’ conversational outputs often obfuscate serious underlying issues with information quality. There is an urgent need to evaluate how these systems access, present, and cite news content. Building on our previous research, the Tow Center for Digital Journalism conducted tests on eight generative search tools with live search features to assess their abilities to accurately retrieve and cite news content, as well as how they behave when they cannot.
We found that…
- Chatbots were generally bad at declining to answer questions they couldn’t answer accurately, offering incorrect or speculative answers instead.
- Premium chatbots provided more confidently incorrect answers than their free counterparts.
- Multiple chatbots seemed to bypass Robot Exclusion Protocol preferences.
- Generative search tools fabricated links and cited syndicated and copied versions of articles.
- Content licensing deals with news sources provided no guarantee of accurate citation in chatbot responses.
Our findings were consistent with our previous study, proving that our observations are not just a ChatGPT problem, but rather recur across all the prominent generative search tools that we tested…”
France, Germany, & Poland Are Competing For Leadership Of Post-Conflict Europe
France, Germany and Poland are reacting to how relations between Russia, and the US will determine Europe’s future security architecture.
Help Net Security: “71% of connections to GenAI tools are done using personal non-corporate accounts. Among logins using corporate accounts, 58% of connections are done without Single-Sign On (SSO). These interactions bypass organizational identity and access management (IAM) systems, leaving security teams blind to how GenAI tools are used and what data is being shared. Casual GenAI users unaware of data exposure risks.
Most GenAI users are casual and may not be aware of the risks of GenAI data exposure. Only 15% of enterprise employees use it every week, and while a small percentage of users use it extensively, most users are casual users. Software developers are the largest constituency of active users.
Among enterprise users, 39% of users who use GenAI tools belong to research and development, 28% belong to sales and marketing. IT, HR, and finance users make up single digits only. The research shows that 20.63% of all users have installed an AI-enabled browser extension.
Of those who have such an extension installed, 45% have more than one such extension. 58% of GenAI browser extensions have a permission scope classified as ‘high’ or ‘critical,’ compared to 66.6% of all extensions. Finally, 5.6% of AI extensions are classified as ‘malicious’ and can be used to steal data.
90% AI usage is concentrated in large, well-known apps, but there is a long tail of shadow AIapplications. ChatGPTalone accounts for 50% of enterprise usage, and the top 5 AI SaaS apps for 85% of AI usage.However, outside of the handful of well-known apps there is a long tail of lesser-used AI tools that fly under the radar. As a result, security manages don’t know which other AI apps are used, and where to put controls…”
