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

Blurb

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Web 2.0 Expo: Day Two

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The highlight of my day was interviewing Eileen Gittins, the founder, president and CEO of Blurb, an online publishing service that provides print on demand tools for the general public. With Blurb's book layout software, BookSmart, users can create books using their own text and images and upload them to the Blurb server for purchasing, printing and delivery. Like Lulu.com (see Josh Futrell's recent blog post), Blurb empowers writers, photographers, graphic designers, and other artists to control the publishing of their work.

Gittins is a passionate entrepreneur who truly understands her client base. (She started Blurb based on her own frustrations with the publishing industry.) Blurb and the related project Photography.Book.Now exemplify what is truly phenomenal about the power of the Web.

No more spoilers. You can listen to my interview with Gittins (and a few other Web 2.0 Expo players) on Technology in the Arts Podcast #51 on Friday, September 26. (Go ahead and subscribe already, you slouch!)

I also digested this morning some tips on viral marketing during Jonah Peretti's Web 2.0 Expo session, Viral Marketing 2.0. Peretti, known throughout Web circles as a guerilla media guru, is the co-founder of HuffingtonPost.com and BuzzFeed.

Peretti explained that, contrary to popular opinion, a message doesn't become viral because of influential users. Rather, a message spreads because of the network that supports it. For instance, he explained, a fire spreads when the conditions are perfect and not because the spark that ignited it was special.

"Facebook created a network that would make the driest forest possible so the fires would spread," said Peretti.

The network Peretti highlighted today is what he calls the "Bored at Work" network, which is a huge people-powered network comprised of distracted corporate employees. However, he explained that a big problem with trying to spread a viral message is the "radical unpredictability" of the Web. There is no way to know who will make something popular or what will become popular.

So how can Peretti possibly offer any advice on delivering messages that will succeed in a viral way? He admitted that he didn't have a perfect answer. Still, considering his repeated success at gaining viral acclaim (see The Contagious Media Project for a list of his online exploits that have blown up), there is a great deal of cred behind the tips he offered.

For instance, may absolute favorite of Peretti's techniques is one he dubs "The Mullet Strategy." As most people know, a mullet is a hair style that features a short, professional front-end with a long, flowing rear. Peretti compared this "business in the front, party in the back" approach to marketing. Since the most contagious media is often silly, fun and even shocking, it isn't always appropriate for that content to live on the front page of a Web site. However, if there is a "party in the back" and people are enjoying and sharing that party, it will most definitely drive traffic to the other areas of your site.