An overemphasis on data-driven work within the nonprofit sector has been shown to result in cycles of disempowerment, driven by third-party data demands of funding bodies.. This compounds due to the many market orientations nonprofits need to adopt, particularly prevalent among the arts. A key to navigating these markets and funder requirements lies in identifying a specific data culture best fit for your organization and investing in resources and training in order to achieve that framework sustainably.
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.
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.
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.
Did you catch this month’s headlines in tech and the arts? Advancements in technology make new opportunities for creators and consumers alike. Policy to support transparency in device repair and use of AI may help users make informed decisions. Meanwhile, a landmark Google antitrust ruling supports competition in the search engine market.
How can AI and blockchain play a functional role in arts and cultural organizations? At Christie’s 8th Annual Art + Tech Summit, top arts leaders gathered to address this question and more. While companies race to integrate the latest technology, uses may not align with consumer demand or practical need. With eyes on the creative industry’s next steps, companies must consider ethics of the AI tools they implement. For Disney, this resulted in a “hacktivist” cyber attack, leaking more than 1 TB of company data in protest of AI artwork policies. Meanwhile, individuals must take more responsibility in protecting their own data privacy as Google Chrome once again takes back promise to eliminate third-party cookies. Read more about this month’s news below.
Studies focused on the “artistic” aspects of generative AI reveal negative bias, and a preference for human creations. None of these studies, however, account for the multimodality of comic books: text and image. Is a human-written story a mitigating factor for readers? Is it feasible for writers to become “AI comic book artists" or will consumers drive AI imagery out of the market altogether? Given the multitude of information making it difficult to discern how comic book consumers perceive AI imagery, the following provides first-person research by generating an AI comic and conducting a survey on unsuspecting comic book customers.
Once again, AI continues to be front of mind this month. While companies expand AI functionality, artists call for protection of their likeness, and consumers call for accurate information. Meanwhile, cyberattacks evolve, and arts enterprises with high profile clients are challenged to respond. Looking at organizational workflow, popular tools like Canva are expanding to become a “one-stop shop” for design needs.
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.
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.
Technology has played a critical role in the film industry since its inception. Advances in the film industry are always closely related to technological advances in society, integrating them quickly into the filmmaking process. Almost every aspect of filmmaking, from pre-production to post-production, from digital cameras, editing software, sound and music, distribution, exhibition, and of course, special effects, has undergone major changes and has evolved over the last 190 years.
Contemporary, traditional film production involves building physical sets, scouting locations, and coordinating large crews and equipment, all of which can be time-consuming and expensive. To overcome some of these "problems" or “needs” was born what we know today as Virtual Production. Virtual production has and will be further enhanced by the opportunities afforded by artificial intelligence.
The successful future of the arts and arts organizations will include artificial intelligence (AI). Artificial intelligence operates in many spheres, from generative AI, including OpenAI’s ChatGPT, DALLe or VALLe, or OtterAI’s transcription tools to robots cleaning offices to machine learning algorithms. While the opportunities seem both endless and perhaps intimidating, strategic application of these tools can make a significant difference.
