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Nature – Browser plug-in alerts users when studies — or their references — have been posted on a site known for raising integrity concerns. “A free online tool released earlier this month alerts researchers when a paper cites studies that are mentioned on the website PubPeer, a forum scientists often use to raise integrity concerns …
“NIST GenAI is a new evaluation program administered by the NIST Information Technology Laboratory to assess generative AI technologies developed by the research community from around the world. NIST GenAI is an umbrella program that supports various evaluations for research in Generative AI by providing a platform for Test and Evaluation. These evaluations will inform …
Fast Company: “…an AI tool that runs completely on a web page in your browser. It’s useful, too. There’s no account needed, and your data doesn’t leave your own device—so you don’t have to worry about privacy. It’s the kind of thing that demonstrates why so many companies want AI applications to run on our …
My Case – By Catherine Brock: “AI tools like ChatGPT are creating a buzz in the legal field. According to the Legal Industry Report 2024, nearly one-quarter (24%) of law firms have adopted legal-specific generative artificial intelligence (GAI) tools. Survey respondents confirmed they use GAI to streamline firm processes, from drafting marketing content to finding …
Noting this press release as it shines light into the foothold AI is gaining in major sectors, in this case, pharmaceuticals: “For over a decade, Moderna has been at the intersection of science, technology and health. Since our beginnings, we’ve leveraged the power of machine learning to support our mission to develop transformative mRNA medicines. …
Ars Technica: “US judicial panel debates new AI evidence rules Panel of eight judges confronts deep-faking AI tech that may undermine legal trials. On Friday, a federal judicial panel convened in Washington, DC, to discuss the challenges of policing AI-generated evidence in court trials, according to a Reuters report. The US Judicial Conference’s Advisory Committee …
MIT Technology Review: “This new tool helps you figure out which ones to trust. In many high-stakes situations, large language models are not worth the risk. Knowing which outputs to throw out might fix that. Large language models are famous for their ability to make things up—in fact, it’s what they’re best at. But their …
404 Media: “The same types of bizarre AI images that have repeatedly gone viral on Facebook have begun to make their way to LinkedIn. In some cases, these images are performing very well, as is the case on Facebook. In others, they are identified as AI by a majority of the commenters. We’ve covered the …
ZDNET, Sabrina Ortiz: “OpenAI launching ChatGPT not only kicked off the generative AI craze, but the tool has remained the most popular AI chatbot. Yet Microsoft Copilot boasts features that make it, dare I say, better than ChatGPT. After using ChatGPT and Copilot for over a year, I keep coming to the same conclusion — Microsoft’s …
Perlman, Andrew, The Legal Ethics of Generative AI (February 22, 2024). Suffolk University Law Review, Forthcoming, Available at SSRN: https://ssrn.com/abstract=4735389 or http://dx.doi.org/10.2139/ssrn.4735389 The legal profession is notoriously conservative when it comes to change. From email to outsourcing, lawyers have been slow to embrace new methods and quick to point out potential problems, especially ethics-related concerns. …
Gizmodo: “A study recently published in the peer-reviewed American Psychologist journal claims that a combination of facial recognition and artificial intelligence technology can accurately assess a person’s political orientation by simply looking at that person’s blank, expressionless face. The study was authored by researchers at the Graduate School of Business at Stanford University. Researchers write …
Nieman Lab: “…Our team of researchers from the Stanford Internet Observatory and Georgetown University’s Center for Security and Emerging Technology investigated over 100 Facebook pages that posted high volumes of AI-generated content. We published the results in March 2024 as a preprint paper, meaning the findings have not yet gone through peer review. We explored patterns of images, …
