Arts Datathon: Intelligence

REGISTER TODAY

Tuesday, April 29, 2025 | 9AM - 4PM (PDT)
Inner-City Arts
720 Kohler St.
Los Angeles, CA 90021

Arts Datathon returns with a day of data exploration, collaboration, and creation. Arts Datathon: Intelligence will feature hands-on workshops designed to help our arts and culture communities understand how to use generative AI tools effectively and ethically. Arts Datathon: Intelligence is open to the public. Registration fee of $20 per participant includes two breakout workshop sessions - one in the morning and one in the afternoon - as well as coffee and lunch.* In addition, Self-Help Graphics will be on hand printing tote bags specially designed for the Arts Datathon by artist Oscar Rodriguez.

This year’s event features six unique workshops to choose from where participants will explore the intersection of arts and generative AI:
AI from the Inside Out: Learn about AI tools arts and culture organizations can utilize to effectively supplement your capacity to achieve important tasks supporting organizational and business-related activities.
Hacking the prompt: Join us for a practical and interactive session exploring the use of artificial intelligence (AI) in your work and (maybe!) your personal life.
What is Creativity in the Age of AI?: Explore different types of knowledge and creativity using AI tools, our shared insights, and hands-on materials like clay, color pencils, and markers.
Handling Data with Care: Engage in a friendly, non-technical introduction to recognizing and managing personally identifiable information (PII) as well as simple methods to keep this data safe.
AI for the Arts: Develop an AI policy specifically designed to address unique needs, concerns, and opportunities in arts and culture.
Intro to Data Justice: Delve into the ethics of AI image generators and Large Language Models, in the context of ecological justice, creative labor, and algorithmic bias.
When you register, you will select your top three choices for breakout sessions. Sessions will be assigned based on preference and space availability.

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