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Designing Human-AI Systems for Creativity and Beyond: Mira Dontcheva
March 8 @ 4:00 pm - 5:00 pm
*This talk is hybrid (in-person & remote). Capacity is limited. Please register ahead of time.
Re-Imagining How We Create and Consume Video
Capturing and sharing video is now easier than ever. Yet creating and consuming with video remains hard. Our video interfaces today are still rooted in a timeline and force users to deal with individual frames despite advances in video understanding that now show who is in a video, what they are saying, and how they feel. In this talk, Mira Dontcheva will share a framework for understanding common video tasks followed by research projects that point to the possibilities for future video tools. Mira Dontcheva will also share her experience creating Project Blink, an experimental video creation product inspired by decades of research on video interfaces that are now finally possible.
About the Speaker
Mira Dontcheva (she/her) is principal scientist at Adobe leading the Interactive Creativity Lab and research in Human Computer Interaction (HCI). Her research focuses on building new tools that make creative tasks easier, more fun, and more accessible to a wider audience. She is passionate about social creativity, multimodal interaction and experiences at the intersection of the physical and digital world. For the past three years Mira has been working on Project Blink exploring how machine learning can power a new era of video interfaces. She finished her Ph.D. in computer science at the University of Washington with David Salesin, Michael Cohen and Steven Drucker. Her thesis focused on novel interaction techniques for collecting and organizing web content. She was an undergraduate at the University of Michigan in Ann Arbor and completed her B.S.E. in Computer Engineering.
About Designing Human-AI Systems for Creativity and Beyond
Imagine a computer that could finish your sentences, or compose music that sounds as if you wrote it, or dance with your moves or solve a problem by creating hundreds of lines of code – leaving you to focus on a task that is even harder, augmenting your creative ability and pushing you to reach your creative potential. In a sense, that computer is merely the descendant of the power looms or the steam engine of the Industrial Revolution. But it also belongs to a new class of machine, because it grasps the symbols in language, music and programming and uses them in a way that seems creative, seems human. These “Generative AI” models represent a breakthrough in artificial intelligence, creativity and design.
This speaker series invites you to engage in the promise and perils of the next big thing in machine intelligence. We invite speakers from the worlds of art, design, technology and policy to discuss these impressive new capabilities, its limitations and how we, as designers and students, could harness it to reach new heights in art, music, dance, architecture, fashion, creative writing and programming.