With the increased accessibility and approachability of AI, some have started using it as a tool for creativity -- like AI Art! We are excited to announce that we have an all star line up for you this April 2022: Claire Leibowicz, Emily Saltz, and Lia Coleman will be sharing their Field Guide on Making AI Art Responsibly from the Partnership on AI.
Details: https://bit.ly/mlux0422
What is the Partnership on AI?
Partnership on AI (PAI) is a non-profit partnership of academic, civil society, industry, and media organizations creating solutions so that AI advances positive outcomes for people and society. By convening diverse, international stakeholders, we seek to pool collective wisdom to make change. We are not a trade group or advocacy organization.
We develop tools, recommendations, and other resources by inviting voices from across the AI community and beyond to share insights that can be synthesized into actionable guidance. We then work to drive adoption in practice, inform public policy, and advance public understanding. Through dialogue, research, and education, PAI is addressing the most important and difficult questions concerning the future of AI.
Supporting PAI’s global community of Partners is a small team of staff members. These staffers contribute their expertise in multistakeholder facilitation, AI and sociotechnical research and development, public policy and communications, and inclusive and participatory design.
About Lia Coleman
Lia Coleman is an artist using artificial intelligence and code to create their work. Lia co-organizes the NeurIPS Workshop on Machine Learning in Creativity and Design, and also works with RunwayML on an explainable ML video series. They were an adjunct professor at the Rhode Island School of Design, teaching graduate courses on creative uses of machine learning. Their work has been at Science Gallery Detroit, Tribeca Film Festival, New York University, NeurIPS, Mozilla Festival, Gray Area, and Partnership on AI. Their writing on AI art has been published by Princeton Architectural Press, DISEÑA, and Neocha Magazine. Lia is an alum of Massachusetts Institute of Technology (BSc, Computer Science) and the School For Poetic Computation in NYC. http://www.liacoleman.com/
About Emily Saltz
Emily Saltz is a UX Researcher and artist based in Brooklyn. Emily has led UX research for the Partnership on AI and The News Provenance Project at The New York Times about social media interventions for manipulated media and misinformation. Some of her creative work includes a collaboration on an AI-generated op-ed for author Oobah Butler on being catfished by AI (The Independent, 2021), explorations of text prediction software such as ‘Human-Human Autocompletion’ (presented at WordHack at Babycastles and Radical Networks, 2020), and ‘Super Sad Googlesʼ (presented at Eyeo 2019). She is co-author of the zine, "Making AI Art Responsibly: A Field Guide."
About Claire Leibowicz
Claire Leibowicz is the Head of the AI and Media Integrity Program at the Partnership on AI, a global multistakeholder nonprofit focused on responsible AI. Under Claire’s leadership, the AI and Media Integrity team creates best practices for the development and deployment of AI technologies that impact digital media and online information. Current projects focus on synthetic and manipulated content, misinformation interventions, responsible recommender systems, and the sustainability of local news. She is co-author of the zine, "Making AI Art Responsibly: A Field Guide." Claire holds a BA in Psychology and Computer Science from Harvard, and a master’s degree in the Social Science of the Internet from Balliol College, Oxford where she studied as a Clarendon Scholar, and is now a part-time PhD student considering digital media and notions of truth. For more about Claire's work, see www.claireleibowicz.com.