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.
Digital badges are an alternative method of credentialing that can identify specific skills a learner has mastered through the course of their own self-directed learning. Badges can be acquired in online, in-class, or apprenticeship learning settings. In spite of the great potential that digital badges offer for distinguishing an individual’s job-specific credentials, work must be done to make them more widely understood.
AMT Lab's latest publication, The Future of Micro-Credentialing: An Overview of Digital Badges for the Arts, is meant to be a guide for hiring managers in the arts that: defines what digital badging is; explains suggested taxonomies of digital badges; reviews the acquisition process; introduces initiatives to standardize and create accreditation; compares viewpoints on strengths and weaknesses compared to the traditional learning accreditation model; demonstrates the need for digital badges as a credential; suggests other considerations for using digital badges in the hiring of employees.
Every month, AMTLab publishes a collection of recent news in the field of arts management and technology. After a summer hiatus, we’re back with a selection of articles showcasing some of the trends and highlights of September 2014. We’ve paid special attention to the heated discussion around net neutrality, how museums have integrated technology into their exhibits, and effective use of social media.
