tag: Generative AI

Ithaka S+R has been closely tracking the generative AI product landscape through a unique Product Tracking Tool. The Product Tracker includes descriptions of tools marketed towards postsecondary faculty or student users, as well as information about the pricing model, key features, and other relevant detail.

AI has driven important advances in biomedical research for some time, spurring drug discovery, improving medical imaging, and facilitating engagements with large datasets in emerging fields like precision medicine. However, recent advances, notably the advent of consumer-friendly generative AI tools, have increased the likelihood that AI-informed research and scholarly communication will be ubiquitous in the near future. Managing this transformation in ways that ensure high-quality, reproducible results and ethical, inclusive research practices is important across academic disciplines, but identifying current…

In September 2023, Ithaka S+R kicked off its Making AI Generative for Higher Education project, a two year collaboration with 19 universities who are committed to learning about generative AI’s impact on higher education and developing institution-specific strategies to best leverage the technology. This fall and winter, each university in the cohort has been focused on assessing the needs and experiences of their campus communities in relation to generative AI. One of these institutions, the University of Baltimore, surveyed…

Following the commercial release of tools like ChatGPT, it has become clear that generative AI technology will have a marked impact on higher education. In the midst of widespread discussions on how generative AI can best be leveraged in teaching and research contexts, universities are exploring how they can provide secure access to this technology for faculty, staff, and students. In our recent blog post on university custom AI platforms, we highlighted three institutions—the University of Michigan, Harvard University,…

In June 2023, the University of Michigan’s Generative AI Committee released a report with a list of recommendations for how to adapt to increased use of generative AI tools like ChatGPT. One of the committee’s key recommendations was that the university provide “secure and equitable access to GenAI platforms and tools for the entire U-M community.” To meet this need, the University of Michigan launched a custom AI…

The commercial release of ChatGPT and other forms of generative AI created a firestorm this spring in and well beyond higher education. Other types of AI were already being used in university settings, particularly by researchers, but the sudden availability of consumer-friendly tools capable of generating responses to virtually any query transformed AI from a specialized tool into a mass-market product. The rapid spread of these easy to use tools raised important questions about teaching, learning, and research practices in…

The flurry of announcements in recent months of new, and ever improving, generative AI technologies, is causing universities to reexamine every area of their operations. At the current, very nascent phase of university-wide adoption, institutions are responding primarily by providing background information to their stakeholders. How can an institution move from general information sharing to developing and deploying the guidance, services, and tools that will enable staff and students to harness this technology’s potential—and pitfalls? This fall, Ithaka…

The ability of computers to create content is advancing rapidly, spurring an investment arms race within the technology sector. As new products like ChatGPT and Midjourney turn AI into a part of daily life, universities are facing decisions about how students, instructors, and researchers can best engage with these new tools. This fall, as part of a two-year research project, Ithaka S+R is convening a select group of universities committed to making AI generative for their campus community. Today we…

The ability of computers to create original content is advancing rapidly, spurring an investment arms race within the technology sector. As these advancements touch every area of higher education, universities face decisions about how and when AI can support student learning and faculty research. This fall, Ithaka S+R is convening a two-year research project in collaboration with a select group of universities committed to making AI generative for their campus community. Together we will assess the immediate and emerging AI…