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.
Every year we review our analytics to highlight what you, our readers, have found the most compelling. In 12 short months, we have witnessed waves of new technology erupt onto the marketplace, like OpenAI’s Dall-e, and others tumble into chaos, most notably cryptocurrency. The top 10 show how YOU have followed the change.
Nonprofit fundraisers are continually searching for efficient systems to discover, approach, solicit, and measure support from prospects. The market for fundraising software is over-saturated with business management technology that is constantly evolving. An increasingly prevalent trend in startup software is the integration of artificial intelligence technology, which has become more popular today thanks to greater access to data volumes, sophisticated algorithms, and improvements in computing power. The technology, if truly effective with the right organization’s data, harnesses the potential to shape how we prioritize our time with donors.
Artificial intelligence in the arts is growing increasingly more complex. It is 2022, and robots are co-creating art, NFTs are celebrating and confusing art consumers around the world, and at least 85% of Americans have smartphones that give immediate access to endless amounts of streaming content. However, AI has flaws. This article covers the recommendation algorithms built to support content delivery for this majority, their cultural implications, and bias control.
The year is 1870, 7 years before the invention of the phonograph by Thomas Edison. As a musical artist, if you wanted to distribute your content to an audience, you did so through sheet music, either painstakingly copied by hand, or if you were lucky, replicated on some kind of a printing press. Music distribution has come a long way since then. Artists can upload music to platforms like TikTok or YouTube with the click of a button. But how has this changed the industry?
The most prolific way that people engaged with music in 2020 was streaming platforms, of which, Spotify continues to be the most popular. Even though it’s easier than ever for artists to upload content to a large audience, the question remains, are personalization algorithms and streaming services through Spotify harming or helping musical artists?
Despite the Covid-19 pandemic, 2020 was a big year for the entertainment industry. Many entertainment corporations reevaluated their approach to content distribution and accessibility for viewers. It is increasingly clear that streaming services will continue to exert evolutionary change on the entertainment industry. Regardless of the questions and problems posed about the algorithms used by streaming services, Netflix and other dominant platforms will continue to use them – and continue to work on optimizing the algorithm to eliminate at least the most egregious biases. It is up to the industry to hold itself accountable and ensure that the sanctity of the art of TV and film over the algorithm-based entertainment world.
