MIT welcomes David Siegel SM ’86, PhD ’91 as its next Innovation Fellow. The computer scientist, entrepreneur, and philanthropist will collaborate with the MIT Schwarzman College of Computing to advance AI and scientific discovery.
By MIT Schwarzman College of Computing
OpenAI Academy and the Walton Family Foundation are bringing hands-on AI Skills Jams to help K–12 educators build practical AI skills for the classroom.
OpenAI Academy is expanding its offerings with new learning paths tailored for employees, developers, leaders, educators, and students. These paths aim to help participants build and demonstrate practical AI skills. The initiative broadens access to AI education across diverse audiences.
arXiv:2607. 12296v1 Announce Type: cross Abstract: With the increased use of generative AI (GenAI) applications such as ChatGPT, higher education institutions (HEIs) have released a range of guidelines and policies to direct adoption within their institutions.
By Amrita Ganguly, Aditya Johri, Nora McDonald, Areej Ali, Umama Dewan, Aayushi Hingle Collier
OpenAI partners with the American Federation of Teachers to launch a 5-year initiative equipping 400,000 K-12 educators to lead AI innovation in classrooms.
Preply uses OpenAI to launch AI-generated lesson summaries, providing personalised feedback and language learning exercises.
An affordable offering for universities to responsibly bring AI to campus.
The study examines how AI’s growing presence in computing affects the perceived importance of cognitive skills among students and experts. Findings suggest that most cognitive skills will become less critical in an AI‑rich future, while critical thinking remains essential. Interviews provide reasons for these shifts and offer guidance for preparing future computing students.
By Neha Rani, Vu Minh Anh Le, Austin M. Spangler, Erta Cenko
arXiv:2608. 03524v1 Announce Type: new Abstract: AGENTONOMICS is a framework that treats AI agents as economic entities that can be designed, managed, and governed through an integrated management architecture.
By Fengjunjie Pan, Alois Knoll
The article discusses how machine learning exercises can be designed for automated assessment tools, framing them as deterministic input-output tasks. It emphasizes that this approach does not create a new grading system but enables existing platforms (e.g., VPL for Moodle, Codeforces, MOJ) to support AI education more effectively. The authors argue that integrating theory with practice through such exercises can foster dynamic, interactive AI courses.
By Artur Jordao
arXiv:2607. 05406v1 Announce Type: cross Abstract: Large language models generate code from natural language prompts, enabling "vibe coding," which allows non-programmers to develop computational solutions.
By Yukyeong Song, Seoyeon Choi, Jinhee Kim, Yeongje Kim, Lauren Weisberg, Jewoong Moon
OpenAI advances Education for Countries, expanding AI adoption in schools with new partnerships, teacher training, and tools to improve global learning outcomes.