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Terence Broad

- Explore how AI can be used to design new musical instruments and interactive systems that respond to gesture, movement, and sound.

- Understand the role of AI as a creative partner in music composition and performance, and examine how this reshapes ideas of creativity and authorship.

- Evaluate the ethical and legal implications of using AI in music, including issues around ownership, attribution, and the rights of artists and performers.

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- Explore how AI can be used to design new musical instruments and interactive systems that respond to gesture, movement, and sound.

- Understand the role of AI as a creative partner in music composition and performance, and examine how this reshapes ideas of creativity and authorship.

- Evaluate the ethical and legal implications of using AI in music, including issues around ownership, attribution, and the rights of artists and performers.

- Experiment with practical tools for generating, manipulating, and performing music using AI, gaining insight into current techniques and future possibilities.

Through hands-on walkthroughs, practical tools, and case studies, you’ll experiment with gesture-based systems, explore real-time music generation, and discover how machine learning can be trained to respond to human input. Alongside these technical explorations, the course invites you to engage with critical questions around creativity, authorship, and the legal implications of AI in music production.

Featuring perspectives from leading artists, choreographers and researchers working at the intersection of AI and music, this course provides both the practical knowledge and critical framework to begin experimenting with sound and AI in your own creative practice. No prior technical experience is required, the course has been designed for anyone with a curiosity and a passion for exploring new ways of making music.

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Syllabus

Interaction, music and dance
In this first week of exploring Creative AI: Sound, music and interaction, we will look at how AI can be used to build interactive applications, develop new kinds of expressive musical instruments, and how AI is being used to augment and inform new kinds of dance and choreography performances.
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Career center

Learners who complete Creative AI: Sound, Music and Interaction will develop knowledge and skills that may be useful to these careers:
Creative Technologist
A Creative Technologist bridges the gap between artistic vision and technological innovation, prototyping new digital experiences and interactive installations. This role involves experimenting with emerging technologies to solve creative challenges, often building custom tools or systems for artists and brands. The "Creative AI: Sound, Music and Interaction" course is highly relevant, focusing on how AI can be used to build new kinds of musical instruments and interactive systems that respond to human input. Learners explore gesture-based systems and real-time music generation, which are core skills for a Creative Technologist. The course's hands-on walkthroughs and practical tools directly prepare individuals to experiment with sound and AI in their own creative practice, providing both the technical insight and critical framework needed to excel in this dynamic field.
Music Technologist
A Music Technologist applies scientific and engineering principles to the creation, performance, and recording of music. This individual often designs new instruments, develops audio software, or innovates production techniques. The "Creative AI: Sound, Music and Interaction" course provides a foundational understanding of how artificial intelligence is reshaping music. Learners explore AI's role in designing new musical instruments and interactive systems that respond to gesture, movement, and sound. The course's practical tools for generating, manipulating, and performing music using AI directly equip a Music Technologist with cutting-edge knowledge. By delving into real-time music generation and machine learning trained to human input, individuals gain insights into current techniques and future possibilities, making the course invaluable for anyone aiming to innovate within music technology.
AI Music Composer
An AI Music Composer leverages artificial intelligence tools and algorithms to create original musical pieces, often collaborating with AI as a creative partner. This innovative role explores new frontiers in composition, from generating entire scores to assisting with melodic variations and orchestration. The "Creative AI: Sound, Music and Interaction" course is specifically designed for individuals interested in this evolving field. It examines how AI can act as a creative partner in music composition, reshaping traditional ideas of creativity and authorship. Learners gain practical experience with tools for generating, manipulating, and performing music using AI. This course provides direct insight into current techniques for AI-driven audio and voice generation, equipping aspiring AI Music Composers with the knowledge to experiment and push boundaries in contemporary music creation.
Machine Learning Artist
A Machine Learning Artist integrates machine learning techniques into their artistic practice, creating generative art, interactive installations, or dynamic media experiences. This role demands both creative vision and an understanding of how AI algorithms can be trained and applied to artistic output. The "Creative AI: Sound, Music and Interaction" course offers a highly relevant perspective on the application of AI in creative fields. It specifically explores how machine learning can be trained to respond to human input, a crucial concept for a Machine Learning Artist. The course's focus on designing interactive systems that respond to gesture, movement, and sound directly informs the creation of responsive art. By engaging with practical tools for AI-driven audio and voice generation, learners develop the essential skills to experiment with machine learning as a powerful medium for artistic expression.
Interactive System Designer
An Interactive System Designer creates engaging and responsive user experiences, often involving physical interfaces, immersive environments, or real-time data input. This role focuses on how people interact with technology and spaces, designing systems that respond intelligently to human actions. The "Creative AI: Sound, Music and Interaction" course provides direct, practical knowledge for an Interactive System Designer. It explores how AI can be used to design new musical instruments and interactive systems that respond to gesture, movement, and sound. Through hands-on walkthroughs, learners experiment with gesture-based systems and discover how machine learning can be trained to respond to human input. This course provides both the technical foundation and critical framework for conceptualizing and building innovative interactive experiences, making it highly valuable for this design-focused career.
Performance Artist specializing in Interactive Digital Media
A Performance Artist specializing in Interactive Digital Media integrates technology, especially interactive systems and generative content, into live performances. This artist explores new forms of expression by creating responsive environments, digital costumes, or real-time audiovisuals that react to their movements or audience input. The "Creative AI: Sound, Music and Interaction" course is particularly beneficial, as it examines how AI augments and informs new kinds of dance and choreography performances. It delves into designing interactive systems that respond to gesture, movement, and sound, central to this artistic practice. Learners experiment with practical tools for generating, manipulating, and performing music using AI, gaining insight into real-time music generation. This course offers both the practical knowledge and critical framework to push the boundaries of live digital performance.
Digital Artist specializing in Generative Tools
A Digital Artist specializing in Generative Tools creates art using algorithms, code, or artificial intelligence to produce dynamic and evolving visual or auditory content. This artist often crafts systems that generate unique outputs based on defined parameters, exploring new aesthetics beyond traditional manual creation. The "Creative AI: Sound, Music and Interaction" course provides a highly relevant foundation for this specialization. It focuses on how AI can be used to generate original audio and voice, offering practical tools for manipulating and performing music using AI. The course allows learners to experiment with real-time music generation and understand how machine learning can be trained to respond to human input. This empowers a Digital Artist to integrate sophisticated generative AI techniques into their auditory or multimedia artistic practice, opening new avenues for creative expression.
Sound Artist
A Sound Artist works with sound as their primary medium, creating installations, compositions, or performances that challenge traditional listening experiences. This role often involves exploring acoustic phenomena, creating immersive sonic environments, or integrating new technologies into soundscapes. The "Creative AI: Sound, Music and Interaction" course offers valuable insights for a Sound Artist. It directly addresses how AI can be used to generate original audio and voice, providing practical tools for manipulating sound. Learners explore gesture-based systems and real-time music generation, which can be applied to create highly interactive and responsive sound art. By engaging with the course's critical questions around creativity and authorship in an AI context, a Sound Artist develops a nuanced understanding of their medium's evolving landscape, offering a unique perspective in their creative practice.
Game Audio Designer focusing on Adaptive Music
A Game Audio Designer focusing on Adaptive Music creates dynamic soundscapes and musical scores that respond to player actions, in-game events, and environmental changes. This specialization requires a deep understanding of interactive systems and how audio can enhance player immersion and narrative flow. The "Creative AI: Sound, Music and Interaction" course is highly relevant for this role. It explores how AI can be used to design interactive systems that respond to gesture, movement, and sound, directly applicable to creating adaptive game audio. Learners gain practical experience with real-time music generation and discover how machine learning can be trained to respond to human input, crucial for developing intelligent, reactive audio systems. This course provides both practical tools and conceptual understanding for innovating in the field of interactive game audio.
Intellectual Property Lawyer specializing in AI enhanced Creative Works
An Intellectual Property Lawyer specializing in AI enhanced Creative Works advises artists, creators, and technology companies on the legal aspects of content generated or assisted by artificial intelligence. This specialized legal professional navigates complex issues like copyright, ownership, and attribution in an era where AI plays a significant creative role. The "Creative AI: Sound, Music and Interaction" course offers crucial foundational knowledge for an aspiring Intellectual Property Lawyer in this niche. The course explicitly evaluates the ethical and legal implications of using AI in music, including issues around ownership, attribution, and the rights of artists and performers. It delves into critical questions regarding copyright and authorship, providing a deep understanding of the challenges posed by AI's growing role in creative decisions. This course is essential for understanding the evolving legal landscape of AI-generated content. This role typically requires an advanced degree, such as a Juris Doctor.
Experience Designer specializing in Interactive Media
An Experience Designer specializing in Interactive Media crafts engaging and intuitive interactions across various digital and physical platforms. This professional focuses on how users perceive and interact with systems, designing seamless and meaningful experiences that often incorporate real-time feedback and dynamic content. The "Creative AI: Sound, Music and Interaction" course provides valuable insights for an Experience Designer in this domain. It explores how AI can be used to design new interactive systems that respond to gesture, movement, and sound. Through hands-on explorations of gesture-based systems and machine learning trained to human input, learners gain a deep understanding of dynamic interaction design principles. This course helps build a foundation in creating innovative, responsive user experiences, specifically within the realm of creative artificial intelligence applications.
Content Creator specializing in AI Generated Media
A Content Creator specializing in AI Generated Media utilizes artificial intelligence tools to produce various forms of digital content, such as music, voiceovers, or multimedia assets. This role is at the forefront of digital production, exploring efficiency and creativity through algorithmic generation and manipulation. The "Creative AI: Sound, Music and Interaction" course is particularly relevant for a Content Creator operating in this innovative space. It teaches how AI can be used to generate original audio and voice, providing practical tools for manipulating and performing music using AI. The course also addresses the ethical aspects surrounding technologies like voice cloning and the impact of AI-generated music on the industry. This course helps build a foundation in understanding and experimenting with AI tools for creative content production, offering a significant advantage in this emerging field.
Audio Engineer specializing in AI assisted Production
An Audio Engineer specializing in AI assisted Production focuses on integrating artificial intelligence into the recording, mixing, mastering, or live sound process. This modern audio professional utilizes AI tools for tasks such as generative sound design, automated mixing, or intelligent signal processing, pushing the boundaries of traditional audio production. The "Creative AI: Sound, Music and Interaction" course helps an Audio Engineer understand the capabilities of AI in transforming audio. It delves into practical tools for generating, manipulating, and performing music using AI, including insights into current techniques for original audio and voice generation. By exploring real-time music generation and the ethical implications of AI-generated audio, this course may be useful for those seeking to incorporate advanced AI functionalities into their audio workflow and contribute to the future of sound production.
Academic Researcher specializing in AI and Creative Arts
An Academic Researcher specializing in AI and Creative Arts investigates the complex intersections between artificial intelligence and various artistic disciplines, such as music, dance, and interactive media. This role involves conducting studies, publishing papers, and often developing theoretical frameworks to understand AI's impact on creativity, authorship, and cultural production. The "Creative AI: Sound, Music and Interaction" course is highly pertinent for an Academic Researcher. Featuring perspectives from leading artists and researchers, it invites engagement with critical questions around creativity, authorship, and the legal implications of AI in music production. The course provides both practical knowledge and the critical framework necessary to analyze and contribute to this evolving academic field. This role typically requires an advanced degree, such as a master's or PhD, to conduct independent research.
Product Manager for AI Creative Applications
A Product Manager for AI Creative Applications guides the development and launch of software tools and platforms that leverage artificial intelligence for creative purposes, particularly in areas like music, sound, or interactive art. This role requires understanding both technological capabilities and the needs of creative users to define product vision and strategy. The "Creative AI: Sound, Music and Interaction" course may be useful for a Product Manager in this domain, as it explores how AI can be used to build new kinds of musical instruments and generate original audio. Learners experiment with practical tools for manipulating music using AI, gaining insight into current techniques and future possibilities. The course’s engagement with ethical and legal implications, such as ownership and attribution, provides a critical perspective for product development in this sensitive and rapidly evolving market.

Reading list

We haven't picked any books for this reading list yet.
A textbook that presents AI from a computational perspective, covering topics such as agents, knowledge representation, reasoning, and planning. Suitable for readers with a background in computer science or mathematics.
A classic textbook on reinforcement learning, a subfield of AI concerned with learning from interaction with the environment. Covers both theoretical concepts and practical algorithms, with a focus on real-world applications.
A comprehensive textbook that provides a broad overview of the field, covering topics such as problem-solving, learning, machine learning, and natural language processing. Suitable for both beginners and advanced learners.
A highly cited and influential book that focuses on deep learning, a subfield of AI concerned with constructing models for complex data. Covers theoretical concepts, popular algorithms, and practical applications.
A practical guide to natural language processing (NLP) using Python, covering topics such as text classification, sentiment analysis, and machine translation. Suitable for beginners with some programming experience.
A short but powerful book that explores the potential benefits and risks of AI, as well as the ethical dilemmas that need to be addressed as AI becomes more advanced.
A comprehensive German-language textbook that provides a broad overview of AI, covering topics such as search, knowledge representation, and machine learning. Suitable for both beginners and advanced learners.
A French-language textbook that focuses on machine learning, a subfield of AI. Covers topics such as supervised learning, unsupervised learning, and deep learning. Suitable for beginners with some programming experience.
A comprehensive textbook that covers probabilistic graphical models (PGMs), a powerful tool for representing and reasoning about complex systems. Suitable for advanced learners with a background in probability and statistics.
Practical guide to sound design for film, TV, and games, providing step-by-step instructions on how to create professional-quality sound effects, dialogue, and music.
A comprehensive guide focusing on the practical aspects of creating sound effects. covers everything from field recording techniques to studio equipment and provides numerous tips and tricks. It's an excellent resource for those looking to develop hands-on skills in sound effect production and is often used as a reference.
Practical guide to sound design for independent film, providing step-by-step instructions on how to create professional-quality sound effects, dialogue, and music on a budget.
Provides a comprehensive overview of sound design for film, games, and animation, covering everything from the basics of sound recording and editing to the creative use of sound effects to create specific moods and atmospheres.
Takes a conceptual approach to sound design, exploring the creative and technical processes involved in creating sound for film, TV, and other media.
Provides a foundational understanding of sound design principles, particularly within the context of film. It explores how music, dialogue, and sound effects work together to create emotional impact and enhance storytelling. It's a valuable resource for beginners and offers a good overview of the artistic aspects of sound design.

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