innovative scholar, artist, designer, technologist, legal scholar, or interdisciplinary researcher whose work examines the opportunities, challenges, and societal implications of artificial intelligence across creative industries, communication, performance, and human-centered technologies. We welcome applicants whose work explores these developments through artistic practice, scholarly inquiry, policy analysis, technological innovation, or industry engagement. The successful candidate will join a vibrant interdisciplinary community exploring how artificial intelligence is reshaping entertainment, media, performance, communication, and society.
Areas of Interest
Candidates may be working in areas such as:
AI and Creative Practice
• Stage, scenic, costume, lighting, projection, and production design using AI-enhanced tools
• Generative AI in theatre, film, television, gaming, music, and immersive experiences
• AI-assisted virtual characters and digital performers
• Human-AI collaboration in artistic creation and performance
• Virtual production, digital environments, and emerging entertainment technologies
• AI-assisted storytelling and audience engagement
AI, Sound, and Music
• AI applications in sound design, music production, and audio engineering
• Computational approaches to sound analysis and immersive audio
• Machine learning and adaptive sound environments
• Ethical and artistic implications of AI-generated music and sound
• AI voice cloning and digital voice ownership
AI, Society, Policy, and Law
• Intellectual property, copyright, and licensing of AI-generated content
• Labor, employment, and workforce implications of AI in creative industries
• Entertainment contracts and governance frameworks related to AI
• Ethical, regulatory, and societal implications of AI-enabled creative and communication technologies
• Design, development, and evaluation of human-centered AI systems that support artists, performers, designers,
communicators, and audiences
• Role of AI in expanding accessibility, participation, and inclusion within creative and cultural experiences
• Frameworks for responsible, equitable, and transparent AI use in entertainment, media, performance, and
communication contexts
AI, Communication Sciences, Audiology, and Speech-Language Pathology
• AI systems supporting vocal health for performers
• Machine learning approaches to vocal fatigue analysis
• Voice synthesis, voice preservation technologies, synthetic speech
• Audience perception of synthetic voices
• AI auditory technology for entertainment applications
