This study investigates the use of generative AI to support formative assessment through machine generated reviews of peer reviews in graduate online courses in a public university in the United States. Drawing on Systemic Functional Linguistics and Appraisal Theory, we analyzed 120 metareviews to explore how generative AI feedback constructs meaning across ideational, interpersonal, and textual dimensions. The findings suggest that generative AI can approximate key rhetorical and relational features of effective human feedback, offering directive clarity while also maintaining a supportive stance. The reviews analyzed demonstrated a balance of praise and constructive critique, alignment with rubric expectations, and structured staging that foregrounded student agency. By modeling these qualities, AI metafeedback has the potential to scaffold feedback literacy and enhance leaner engagement with peer review.

Move structures have been studied in English for Specific Purposes (ESP) and English for Academic Purposes (EAP) for decades. However, there are few move annotation corpora for Research Article (RA) abstracts. In this paper, we introduce RAAMove, a comprehensive multi-domain corpus dedicated to the annotation of move structures in RA abstracts. The primary objective of RAAMove is to facilitate move analysis and automatic move identification. This paper provides a thorough discussion of the corpus construction process, including the scheme, data collection, annotation guidelines, and annotation procedures. The corpus is constructed through two stages: initially, expert annotators manually annotate high-quality data; subsequently, based on the human-annotated data, a BERT-based model is employed for automatic annotation with the help of experts' modification. The result is a large-scale and high-quality corpus comprising 33,988 annotated instances. We also conduct preliminary move identification experiments using the BERT-based model to verify the effectiveness of the proposed corpus and model. The annotated corpus is available for academic research purposes and can serve as essential resources for move analysis, English language teaching and writing, as well as move/discourse-related tasks in Natural Language Processing (NLP).

Artificial intelligence is an increasingly prominent part of our lives, in areas you may not even think about. Chances are you've had a travel problem in the last year or two, caused by the many disruptions the COVID pandemic has wrought on the industry. When you messaged your airline's Facebook page, did you encounter a bot? I bet your school-age children ask your smart speaker at home 1,000,000 questions per day, or ask your respective brand's speaker to play 46,789 songs per day. I bet many of you reading this have applied for a job during the pandemic, when the job market has very much favored job seekers.

When Microsoft released Bing Chat, an AI-powered chatbot co-developed with OpenAI, it didn't take long before users found creative ways to break it. Using carefully tailored inputs, users were able to get it to profess love, threaten harm, defend the Holocaust and invent conspiracy theories. Can AI ever be protected from these malicious prompts? What set it off is malicious prompt engineering, or when an AI, like Bing Chat, that uses text-based instructions -- prompts -- to accomplish tasks is tricked by malicious, adversarial prompts (e.g. to perform tasks that weren't a part of its objective. Bing Chat wasn't designed with the intention of writing neo-Nazi propaganda.

Hyland, a vendor of content services and enterprise imaging technologies, will have a major presence at the HIMSS20 Global Conference. It's a big player in healthcare information technology, and has a team with decades of experience in the industry. Ahead of HIMSS20, Healthcare IT News interviewed Susan deCathelineau, senior vice president of healthcare sales and services at Hyland. She offers her perspective on the key trends impacting conference attendees. She identifies interoperability, AI for clinical uses, and providers finally embracing the cloud as three trends that healthcare CIOs and other health IT leaders should be on top of.

Consider Sarah Hyland a fan of good old-fashioned dating. "I think there's something special in forming a relationship with just talking," she told ET in a recent sit-down. "I think communication is really beautiful. The 25-year-old actress is happily dating former "Vampire Academy" co-star Dominic Sherwood in real life, but her character in Netflix's newest film, "XOXO," is another story. "My character, Krystal, goes through a lot," Hyland said on Sunday, chatting about the film at The London Hotel in West Hollywood, California. "She's really naive and very young, and believes in true love.