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

data transparency

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The Monopoly Game: How Consolidation Jeopardizes Content Independence in Gaming

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The Monopoly Game: How Consolidation Jeopardizes Content Independence in Gaming

Throughout my tenure as Chief Editor of Research at AMT Lab, I have focused on the benefits of the gaming industry for nonprofits, as well as the monopolistic tendencies and battles of Big Tech, specifically regarding arts and entertainment. Recently, these two worlds have collided, as a wave of consolidation in the gaming industry has raised a new set of antitrust concerns across the globe. In the center of it all? None other than Microsoft, a Big Tech giant that has evaded the antitrust spotlight over the past few years – until now. Due to the expanding value of the video gaming industry at over $300 billion, mergers and acquisitions seemed an obvious destiny bound for the trials and tribulations of antitrust litigation. Microsoft has successfully inserted itself into the gaming industry, incited the largest wave of consolidation that it has ever seen, and merged its dominant position in the sector with its Big Tech-skewed Metaverse goals.

The Necessary Diversification of Pervasive Recommendation Algorithms

The Necessary Diversification of Pervasive Recommendation Algorithms

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 Importance Of Audience Consumption Data In The Entertainment Industry

The Importance Of Audience Consumption Data In The Entertainment Industry

Since the 1980s, it has been industry practice to measure the number of viewers consuming films and television. These measures affect the industry in multiple ways, from advertising sales to cultivating future viewers, and often contribute to the project’s success. As streaming continues to pivot the entertainment industry, other services will begin to release viewership data in a similar fashion. This crucial step in releasing streaming viewership data has the potential to set a new dawn for streaming services: one where data and transparency lead the way into a more informed and impactful industry.