Across
- 4. Computational models inspired by the structure and function of the human brain's neural networks. Neural networks consist of interconnected nodes, or "neurons," organized into layers and are used in machine learning to recognize patterns and make predictions based on input data.
- 6. Autonomous or semi-autonomous robots programmed to create artworks or engage in artistic activities. Robotic artists blur the boundaries between human and machine creativity and raise questions about authorship, agency, and the role of technology in art production.
- 7. Systematic and unfair discrimination or favoritism embedded in AI algorithms due to biased training data, flawed modeling assumptions, or human biases present in the development process. Algorithmic bias can lead to unfair outcomes, perpetuate stereotypes, and exacerbate existing social inequalities.
- 9. (CGI) Images or animations created using computer graphics software and techniques. CGI is widely used in visual effects, animation, video games, and digital art to produce realistic or fantastical visuals that would be difficult or impossible to achieve using traditional methods.
- 11. Collaboration between humans and artificial intelligence systems in creative endeavors, such as art creation, music composition, storytelling, and design. Human-AI collaboration explores the potential synergy between human creativity and machine intelligence, often resulting in novel and unexpected outcomes.
- 13. The intersection of computer science, artificial intelligence, and cognitive psychology aimed at understanding and simulating human creative processes. Computational creativity seeks to develop algorithms and systems capable of generating novel and meaningful creative outputs.
- 14. Artistic practice that utilizes data as a medium, source of inspiration, or subject matter. Data-driven art often involves the visualization, analysis, and interpretation of large datasets to create visually compelling and conceptually rich artworks.
- 16. A subset of AI that enables computers to learn from data and improve their performance on specific tasks over time without being explicitly programmed. Machine learning algorithms analyze and interpret patterns in data to make predictions or decisions.
- 18. The practice of using programming languages and computational techniques to create artistic expressions, interactive installations, and multimedia experiences. Creative coding combines elements of software development, design, and artistic experimentation.
- 19. Aesthetic principles and qualities specific to digital media and technology-driven art forms. Digital aesthetics encompass elements such as pixelation, glitch art, procedural generation, virtual environments, and multimedia storytelling.
- 20. Artworks or environments that invite viewer participation, engagement, or interaction through physical or digital interfaces. Interactive installations often incorporate sensors, cameras, and other technologies to respond to the presence or actions of participants in real time.
Down
- 1. The application of technology, including AI, robotics, virtual reality, and digital fabrication, to artistic practices and cultural production. Technological innovation in the arts fosters experimentation, interdisciplinary collaboration, and the exploration of new creative possibilities at the intersection of art and technology.
- 2. Art created with the assistance of autonomous systems, such as algorithms, that possess a degree of autonomy or randomness in their creation process. Generative art often involves the use of code or computational methods to produce unique and evolving artworks.
- 3. (VR) A computer-generated simulation or immersive environment that replicates a physical presence in a digital or imaginary world. VR technology allows users to interact with and explore virtual environments in real time, offering new possibilities for artistic expression and storytelling.
- 5. (NLP) A branch of AI concerned with the interaction between computers and human language. NLP algorithms enable machines to understand, interpret, and generate human language, facilitating applications such as language translation, sentiment analysis, and conversational agents.
- 8. The simulation of human intelligence processes by machines, particularly computer systems, to perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation.
- 10. Artistic practice that employs algorithms, mathematical formulas, or computational procedures to generate visual or auditory outputs. Algorithmic art explores the intersection of mathematics, computation, and aesthetics to create unique and often unpredictable artworks.
- 12. Algorithms designed and implemented with ethical considerations in mind, such as fairness, transparency, accountability, and bias mitigation. Ethical algorithms seek to address ethical concerns associated with AI and ensure that AI systems behave ethically and responsibly in various contexts.
- 15. The augmentation of human creativity through the use of AI, machine learning, and computational tools. Augmented creativity involves leveraging technology to enhance, extend, or automate aspects of the creative process, resulting in new forms of artistic expression.
- 17. A subfield of machine learning that uses neural networks with many layers (hence "deep") to learn representations of data through multiple levels of abstraction. Deep learning algorithms have achieved breakthroughs in areas such as image and speech recognition, natural language processing, and autonomous driving.