With AI’s ability to automatically produce content and process complicated datasets with high accuracy, museums worldwide are exploring ways in which this innovative technology can help them better achieve their missions and advance accessibility efforts. Through case studies, learn about three applications of this technology: content digitalization, language accessibility, and visual description.
October was filled with new debates on AI policies, a halt to one of the most significant AI safety bills in the United States, and a host of new AI developments in video, music, and even podcasts.
Arts and cultural nonprofits often operate in multiple markets for earned and contributed revenue. With increasing attention on data-driven decision making, effective market orientation often depends on effective data use. This fundamental collection, transmission, use, and interpretation of data within an organization collectively contributes to what can be considered an organization’s data culture.
Museums have increasingly begun to volunteer their spaces as polling places, acting as a democratic vehicle for their communities and adding to the greater fabric of America’s election infrastructure. In doing so, they can support local democratic processes and prove to their communities that they are not unbreachable temples for the elite, but open platforms for the people.
As exemplified by the Hollywood strikes of 2023, we find ourselves in a new era of Artificial Intelligence in film and television. While studios are looking to cut costs, performers seek job security, and consumers seek quality content. Through research conducted in collaboration with facial motion capture technology provider Faceware Technologies Inc., Master of Entertainment Industry Management students at Carnegie Mellon sought to gain insight on how AI-generated content will transform existing industries, including how this technology could affect employment in the entertainment industry, content development, budgets, contracts, legislation, and privacy rights.
Once again, AI continues to be front of mind this month. While companies expand AI functionality, artists call for protection of their likeness, and consumers call for accurate information. Meanwhile, cyberattacks evolve, and arts enterprises with high profile clients are challenged to respond. Looking at organizational workflow, popular tools like Canva are expanding to become a “one-stop shop” for design needs.
Google has been working on arts and culture platforms for several years now. AMT Lab has been reporting on it from the beginning. This #TBT explores the early days of the Google Arts & Culture Project and how it progressed into the app explosion earlier this year where Google used the selfie function on your phone to find artwork that looks like you.
Arts organizations today face a host of challenges, ranging from traditional issues like budgetary constraints and limited staff to more recent concerns, such as shifting patron demographics and increased market disruption caused by the social media frenzy. How can Google Analytics solve these problems, and more? Read Kathleen Grennan's guide here.
With the development of crowd-funding programs through companies such as Kickstarter, Indiegogo, and Patreon, artists have many new ways to generate both funding and visibility. Arts and culture organizations have a harder time competing with individual artists on these platforms. In an effort to assist these organizations as they try to change the world, Google now offers its own crowd-funding platform for nonprofit organizations: Google’s One Today.
