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.
AI has, and will continue to disrupt many traditional careers. According to a report by the global consultancy firm McKinsey & Company, by the year 2030 automation and AI could force around 33 percent of the US’s projected 166 million workforce to change jobs. How will this future impact the museum sector? This report investigates the pathways for AI in the workforce and where we might begin seeing it emerging in the museum sector.
Arts organizations spend a considerable amount of time discussing how to attract the millennial audience. Equally significant is how to attract the millennial employee. Attracting digital natives to any aspect of your organization requires understanding their assumptions for connectivity. A recent survey sponsored by DOMO and CEO.com proves what one might guess from observation – digital natives expect “a mobile-first workplace”
