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October 2024 / Artist Ownership

Learnings and Ethical Considerations: A Resource for Arts Funders on Artificial Intelligence

A helpful resource for funders interested in moving ethically in the Artificial Intelligence (AI) space
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Anavictoria Avila and Jennelyn Tumalad Bailon

Anavictoria Avila is an attorney and Program Manager of the Research to Impact Lab at the Center for Cultural Innovation.

Jennelyn Tumalad Bailon is Senior Program Associate of the Research to Impact Lab at the Center for Cultural Innovation.

As Artificial Intelligence (AI)_ transforms various sectors, it is crucial to evaluate both the pros and cons of AI-integrated project proposals. It is our duty to safeguard human creativity, ownership rights, and data privacy for creators and cultural communities in our processes.

Research to Impact Lab staff designed a workshop for the 2024 Grantmakers in the Arts’ Support for Individual Artist’s Preconference: The Future is AI? Equipping Artists for the Digital Renaissance.

Their workshop, Fast Technology, Slow Regulations: Intellectual Property and Artificial Intelligence featured discussion on the current state of regulations on AI and the ethical and social implications with the current circumstance of mass adoption of technology and limited regulations for data privacy and ownership.

The workshop featured tactile strategies for immediate protections funders could support in artists’ concerns surrounding their intellectual property and offered strategic possibilities for funders interested in supporting more structural changes impacting individual artists and other vulnerable communities.

The workshop finished with a hands-on activity to practice intentional discovery and due diligence for funders to activate their learning.

In this resource, you may find more detailed discussion on what was shared in this workshop as well as a cohesive list of potential due diligence and discovery considerations if you are an arts funder considering funding a project that incorporates AI technology.

Download the resource

 

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