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.
As little as ten years ago, the capabilities of image generators were mere fantasy. Now, images can be made in seconds or minutes and children’s books can be generated in an hour, but how will this impact an industry where the art is at the forefront of consumers' minds? Comics, whether they be digital or print, have been heavily dependent on individual or small groups of artists to weave together stories. The ease of using AI to replicate that work may not be simple.
The use of generative AI (GenAI) tools is becoming increasingly prevalent in marketing, particularly for smaller organizations or nonprofits seeking innovative ways to engage audiences and improve workflow efficiency. This article dives into data collected through a survey that was sent out to museum professionals in Pittsburgh and Cleveland to better understand how and if they are utilizing generative AI tools in their marketing strategies.
Generative AI (GenAI) has become increasingly integrated into marketing and communication careers, and even our daily lives, with the rise of various text-to-image, text-to-video, & text-to-text tools. As digital marketers find new and innovative ways to keep up with the trends, and specifically GenZ in a quick-changing popular culture scene, how are they reacting to the rise of GenAI?
