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

Deepfake

Living in a Deepfake World

Living in a Deepfake World

Deepfakes, or AI-generated synthetic media, are becoming increasingly prominent in the digital age and are being used across industries more frequently than ever before. Unlike common uses of AI that modify existing media given, AI that generate Deepfakes attempt to simulate that media, often using an individual’s likeness as a source of AI learning. Deepfakes can be a fun experiment for swapping faces, but they present a wide variety of malicious uses that has permanently altered the trust and engagement of media. Thus, society must continue to challenge the validity of sources and find new ways to protect media and the truth.

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Positive Implications of Deepfake Technology in the Arts and Culture

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Positive Implications of Deepfake Technology in the Arts and Culture

Deepfakes, one of the hottest topics to burst onto the technology scene in the last five years, have received a lot of negative publicity because of the risks they can present in the hands of bad actors. However, when used in good faith, they have many positive and exciting uses within the arts and culture sector. This report will briefly explain what deepfakes are and how they work, as well as some of their weaknesses and negative implications. Additionally, three case studies will examine the positive ways in which deepfakes can be used in artistic and cultural institutions.

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Deepfake Technology in the Entertainment industry: Potential Limitations and Protections

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Deepfake Technology in the Entertainment industry: Potential Limitations and Protections

Deepfake is a merge between 2 terms which are Deep Learning and Fake. It is a technology that includes teaching software to memorize faces, expressions, movements and even voices of a person so that the machine can later project that information onto another person. Despite its common inappropriate use, Deepfake technology can surely benefit the entertainment industry, specifically film production. This comes with further consequences to be considered by various parties.