Join the AI LA and Hero House communities for a panel on “AI Disrupting Art: Helping artists or taking their jobs?” Generative AI art tools, like Midjourney, DALL·E 2, and Stable Diffusion, have gained much attention and controversy lately when an artist used AI to win a fine-arts competition at the Colorado State Fair. Now stock footage marketplaces like Shutterstock and Getty Images are banning AI-generated content.

Where do we draw the boundary between when text-to-image and other generative adversarial networks (GANs) help with an artist's creativity as opposed to being their creativity?

Following their panel discussion attendees will be able to develop art with popular text-to-image generators Midjourney, DALL·E 2, and Stable Diffusion.

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Moderator:

Todd Terrazas - Executive Director at AI LA

Speakers:

Elizabeth Shubov - AI Intellectual Property Law Attorney

Elizabeth Shubov has been an attorney in practice for over a decade and advises in many areas of emerging tech. She is currently working with The Artificial Inventor Project on ongoing litigation around intellectual property rights for AI-generated works and inventions and recently co-authored a paper on AI Authorship under US Copyright Law. In addition to her professional interests, she enjoys creating and collecting AI art and other generative art.

Kevin Ashley - Office of CTO, Program Manager at Microsoft

Kevin Ashley, drives AI projects at Microsoft, he's a winner of several career awards, including Microsoft CTO award in Artificial Intelligence. Author of 3 books about AI - "Art of Prompts" (2022), MAKE ART with Artificial Intelligence" (2021) - Amazon Bestseller in Neural Networks, Graphics Arts, "AI in Sports with Python" (2020), "Applied Machine Learning in Health and Fitness" (2020, Springer). AI geek, author of popular sports, fitness and gaming apps, Skype featured bots and cloud platforms such as Active Fitness and Winter Sports with 2+ million users. Passionate technical speaker, founder of several startups and ventures, including mobile, sports, fitness and cloud. Kevin is a professional ski instructor, with a lifelong history of connecting technology, artificial intelligence, arts and sports, with partners and startups in Silicon Valley and worldwide.

Mariya Vasileva - Applied Scientist at Amazon

Mariya Vasileva is an Applied Scientist at Amazon AWS working on responsible AI, explainability and fairness of machine learning models. Previously, she worked on the launch of Amazon Style - Amazon's first AI-driven physical store for retail, where she focused on visual search and retrieval for clothing, computational models of personal style, self-supervised learning, and virtual try-on. Prior to joining Amazon, Mariya received her Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign under the advisement of Prof. David Forsyth, researching applications of computer vision in the fashion domain, vision and language, and embedding learning. Outside of work, Mariya is a passionate advocate for diversity and inclusion in the machine learning community and a proud organizer of the Women in Machine Learning, Queer in AI, and Resistance AI workshops.

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