AICA project leader

Mariya Dzhimova (HMTM/HM)

Mariya Dzhimova is a sociologist whose research and interests focus on digital innovations in the arts and cultural sectors. As a research associate at the Institute for Cultural Management and Media at the University of Music and Performing Arts Munich as well as (HM) Munich University of Applied Sciences, she investigates the application of artificial intelligence both in artistic practice and within the operational processes of cultural institutions. She has collaborated on various projects at the intersection of science, art, and technology. Since the end of 2022, Mariya Dzhimova has been heading the Digitalisierungskolleg AICA (Digitalization College AICA).

Scientific instructors

Scientific instructors prepared the technical content hosted on this website. They can guide you through the tutorials and your final project implementation.

Dr. Téo Sanchez (HM - MUC.DAI)

Dr. Téo Sanchez is a postdoctoral researcher and computer scientist focusing on human-AI interaction and the artistic communities of practice that form around AI technologies. His research ranges from the early AI artists who engaged with deep learning in the late 2010s to today’s recreational online communities centered on text-to-image generation. Trained at IRCAM Paris, he was a Marie Skłodowska-Curie Fellow at the “Munich Interactive Intelligence Initiative” at LMU Munich under Prof. Ophelia Deroy, as well as a member of the research initiative “Regaining Power over AI,” in collaboration with Kate Crawford, Gonzalo Ramos (Microsoft Research), and Baptiste Caramiaux (CNRS).

Lecturers and consultants

External artists and experts will give lectures and be available on-site to advice you on your project.

David Goldberg

David Goldberg (Berlin/Munich) explores how contemporary systems shape perception and collective imagination. In his video works, installations, and performances, he examines the tension between technological progress and ethical responsibility, between economic growth and ecological necessity. His practice investigates how acceleration and efficiency, once promises of advancement, have turned into forces of disconnection. Drawing on traces of past ideologies and aesthetic residues, Goldberg reveals how patterns of control and belief persist within today’s visual and digital cultures. A central concern of his work is the use of narrative structures instead of statistical forms of communication—employing story and embodiment to translate abstract systems into perceptible experience. By doing so, he exposes their constructed nature and invites contemplation on how perception is guided, shaped, and reinforced by the systems that produce it.

Moisés Horta Valenzuela

Moisés Horta Valenzuela (1988, he/him) is an artist, technologist and musician from México, working in the fields of computer music, Artificial Intelligence and the history and politics of emerging digital technologies. He has received the award of A.I. Newcomer 2023 by the Association of Informatics of Germany. As 𝔥𝔢𝔵𝔬𝔯𝔠𝔦𝔰𝔪𝔬𝔰 , he crafts an uncanny link between ancient and contemporary technologies through a critical lens in the context of contemporary electronic music and the sonic arts. His work has been presented in Ars Electronica, NeurIPS Machine Learning for creativity and design workshop, MUTEK México, Transart Festival, MUTEK: AI Art Lab Montréal, Elektron Musik Studion, CTM Festival Berlin, KTH: Royal Institute of Technology Stockholm, Intelligent Instruments Lab, Reykjavik, among others. He is currently working as an AI music technologist, developing new instruments utilizing Generative neural networks, independently organized workshops around creative AI art practices centered around sound and image synthesis and the demystification of neural networks. He is also developing SEMILLA.AI, an interface for interacting with generative neural sound synthesizers.