While institutional philanthropy is in a boom-time, foundations have not monopolized such growth. The renewed interest in donor advised funds (DAF) since the pandemic has triggered meteoric growth in the amount of assets stored in DAFs, with recent figures showing over $229 billion stored across 2 million DAF accounts, receiving roughly $86 billion in annual contributions, and granting nearly $52 billion in 2022.
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.
This month, music and film are at the forefront as each battles with the future uses for burgeoning tech. While AI-generated film visuals seem to be coming up short, progress toward realistic AI-generated music is starting to send shockwaves. On the consumer side, music streaming tools are being released to allow more listening experience customization. Across the industry, artists are celebrating ways that some these new tools can enhance their work, while speaking out against potential impacts on jobs, compensation, and creative freedom.
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?
Arts and cultural organizations are becoming increasingly aware of their climate impact, and many are taking action to reduce harm. Tracking, reporting, and offsetting emissions may seem like an overwhelming feat for small or mid-sized organizations, but emerging blockchain technology may help make the process more efficient and reliable.
The merging of artificial intelligence (AI), big data, and human cognitive systems has catalyzed a profound digital transformation of our lifestyles and production methods. This shift is particularly noticeable in the art field, where the integration of AI has sparked innovative ideas and prompted new assessments of traditional practices. Art museums are investigating the potential of AI in collection management, improving visitor experiences, and ticketing attendance data. Of these, the field of art curation is one that is undergoing an evolution.
Exciting to many, distressing to some – digital media continues to hold the largest share of arts participation, and platforms are finding new ways to engage with online audiences. As new trends emerge, creators across disciplines are advocating and winning fair compensation and increased protection of their work. From SAG-AFTRA to regional theatre, contracts with creators are offering greater rewards for digital content and protections for current and future AI.
The field of art conservation has long been a community of highly specialized and skilled professionals, often whom have dedicated hundreds of hours to understanding meticulous processes and materials. They are entrusted by institutions and the public to preserve and protect pieces of culture and history- works which often occupy fragile and delicate states for the remainder of their existence. Many of these pieces have lived long periods of time, having witnessed conflict, cultural changes, and geopolitical events over the course of history.
For this analysis, author Ashley Offman has analyzed Playbill's Top 10 List from the most recent Broadway season. To fully understand the opportunities available for those who are trying to enter the industry, Ashley analyzed the costs of the current (as of November 2023) top 10 most represented schools on Broadway, the competition surrounding the process, and the possible consequences of the Supreme Court’s ruling to end affirmative action.
Staff Researcher, Venetia Liao, attended the 2023 Museum Computer Network Conference (MCN), and wrote about her four key takeaways: (1) Audience Engagement & Visitor Experience In Apps, Websites, Research, and Design, (2) AI, VR/XR/AR Usage & Concerns, (3) Data & Database Management For Collections Management & Marketing Strategy, and (4) Cybersecurity.
Generative AI in an art context raises a multitude of legal questions, one of the more important ones being, who owns the art? Is it the AI-tech company? The person who inputs the prompts? Some mysterious third party? More specifically, with the U.S. Copyright Office declaring that AI cannot be credited as an author on a piece of art, how does this change the legal landscape for the AI-curious and artists who already use AI as part of their creative process?
On Monday, the headlines were ablaze with President Biden’s executive order addressing safe, secure, and trustworthy Artificial Intelligence. At 111 pages, the order offers a breadth of policy frameworks and standards creation that affect government operations and industry reporting. However, several areas of note have a direct potential impact on the work of artists and arts organizations: Watermarks of content authenticity, Copyright, and Labor.
