Accessibility, Artificial Intelligence, museums
Staff Researcher
Envisioning the Future of Museum Accessibility ...

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.

Envisioning the Future of Museum Accessibility Through Artificial Intelligence
Artificial Intelligence, Public Policy, News & Announcements
Ian Hawthorne
October News: New Policies and Possibilities ...

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.

October News: New Policies and Possibilities for AI
Data, Fundraising, Marketing
Ian Hawthorne
Data Cultures Part I: The Many Markets of Arts ...

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.

Data Cultures Part I: The Many Markets of Arts Organizations
Advocacy, Community Building, Public Policy
Ian Hawthorne
Democracy on Display: The Dynamic Role of Art ...

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.

Democracy on Display: The Dynamic Role of Art Museums in Elections
Artificial Intelligence, entertainment, Film
Staff Researcher
Part I: A New Era of AI in the Entertainment ...

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.

Part I: A New Era of AI in the Entertainment Industry

comics

, , ,

Survey Results: Audiences and Generative AI and the Comic Book Industry

, , ,
Survey Results: Audiences and Generative AI and the Comic Book Industry

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. 

, ,

Generative AI Text-to-Image: Artist, Audience and the Comic Book Industry

, ,
Generative AI Text-to-Image: Artist, Audience and the Comic Book Industry

As little as ten years ago, the capabilities of image generators were mere fantasy. Now, images can be made in seconds or minutes and children’s books can be generated in an hour, but how will this impact an industry where the art is at the forefront of consumers' minds? Comics, whether they be digital or print, have been heavily dependent on individual or small groups of artists to weave together stories. The ease of using AI to replicate that work may not be simple.

,

An Analysis of the Top 50 Webtoons on Webtoon Canvas

,
An Analysis of the Top 50 Webtoons on Webtoon Canvas

Naver Webtoon, introduced in “Hallyu 3.0: The Webtoon Takeover,” is the world’s leading webcomics reading application with over 72 million monthly users. Much like Youtube and Spotify, Webtoon manages a user-generated content platform featuring the works of over 130,000 amateur and professional cartoonists. Comics that are uploaded to Webtoon’s user-generated content section, Webtoon Canvas, and have at least 1,000 subscribers and 40,000 monthly page views earn a 50% share of Webtoon’s advertising revenue. Webtoon offers additional payout opportunities including a creator rewards program and their Original Series publishing program that offers exclusive rights publishing contracts and promotion through the platform. This article returns to the question posed in the previous article: How to content generators incorporate Webtoon into their professional practice and to what measures of success?