In Creative (Artificial) Intelligence, artist and key researcher Ali Nikrang explores the latest research on artificial intelligence and creativity by asking the question, "Can machines create?". This third episode from the Anniversary Series will be broadcast on June 4 at 6 p.m. on the occasion of the 25th anniversary of the Ars Electronica Futurelab via Ars Electronica Home Delivery. It comments on a controversially discussed hype and examines the methods of creative collaboration between humans and machines.
Ali Nikrang illuminates the creative potential of algorithms and reveals surprising possibilities for constructive collaboration with the user. He explains important basics from the field of artificial intelligence: What A Ghost Dreams Of is an AI that generates deep fakes from images of museum visitors that are indistinguishable from real portraits. The language model GPT-2 (OpenAI) also uses the creativity of an artificial intelligence to create text with credible content.
However, using his AI-based music composition system Ricercar, the MuseNet composition Mahler Unfinished, and Sounding Letters – an AI that translates letters into a musical composition – Ali Nikrang demonstrates that it is still human creativity that differentiates analog from digitally generated work.
What a ghost dreams of – h.o.
AI System: John Brumley
Surveillance Application: Hiroshi Chigira
Technical Direction: Hiroshi Chigira, John Brumley, Taizo Zushi
Art Direction, Concept: Hideaki Ogawa, John Brumley, Hiroshi
Chigira, Emiko Ogawa, Taizo Zushi
Eye Blinks Editing / Directing: Martina Sochor
Eye Blinks Cinematography: Jonatan Salgado Romero
Eye Blinks Model: Andressa Miyazato
Photography: Florian Voggeneder
Face Photo Booth: Ali Nikrang
This project utilizes the AI algorithm StyleGAN (Karras et al. 2018)
About h.o: www.howeb.org/about
Ars Electronica Futurelab: Florian Berger, Ali Nikrang
GPT-2 (Alec Radford et al. 2019)
Orchestra: Bruckner Orchestra Linz, principal conductor: Markus Poschner
Artificial Intelligence: MuseNet by OpenAI, Christine M. Payne
Ars Electronica Futurelab: Ali Nikrang, Peter Freudling, Stefan Mittlböck, Roland Aigner
Live Visualizations: Akiko Nakayama
Ricercar & Sounding Letters
Inside Futurelab: 25th Anniversary Series – Episode 3 – Creative (Artificial) Intelligence is a thought-provoking exploration of the intersection between creativity and artificial intelligence. Hosted by renowned experts in the field, this episode delves into the ways in which AI is revolutionizing the creative process, challenging traditional notions of artistry, and pushing the boundaries of what is possible in the realm of artistic expression.
This episode showcases how AI is transforming the creative landscape, empowering artists, designers, and innovators to explore new frontiers and reimagine the possibilities of their craft. By leveraging the power of machine learning, deep learning, and other cutting-edge AI technologies, creators are able to generate art, music, literature, and other forms of expression that were previously unimaginable.
The discussion in this episode transcends the realm of art and delves into the broader implications of AI on society, culture, and humanity as a whole. It raises important questions about the nature of creativity, the role of technology in shaping our creative endeavors, and the ethical considerations that must be taken into account as we venture into this new era of AI-driven creativity.
Throughout the episode, viewers are treated to demonstrations of AI-generated works of art, discussions with leading AI artists and innovators, and thought-provoking insights into the ways in which AI is reshaping the very fabric of creative expression.
Whether you are an artist, a technologist, a business leader, or simply someone with an interest in the cutting edge of innovation, Creative (Artificial) Intelligence offers a fascinating and illuminating look at the future of creativity in the age of AI.
Business Use Case:
AI has become an integral part of modern businesses, offering a wide range of applications and opportunities for growth. One crucial area where AI is increasingly being utilized is in data management and normalization. With the large volumes of data that businesses generate and collect, it can be a complex and time-consuming task to ensure that the data is consistent, accurate, and properly formatted. AI-powered data normalization tools can automatically clean and standardize data, saving businesses time and resources while ensuring that their data is reliable and actionable.
Another important business use case for AI is in the generation of synthetic data. Synthetic data is artificially created data that mimics the characteristics of real data, providing a valuable resource for testing and training AI models without exposing sensitive or proprietary information. With the help of AI, businesses can generate large volumes of synthetic data that closely resemble real-world data, enabling them to train and test their AI systems more effectively and securely.
AI is also revolutionizing content generation, enabling businesses to automate the creation of high-quality written content for a variety of purposes, from marketing materials to product descriptions. By leveraging AI-powered natural language processing and generation tools, businesses can produce content at scale, freeing up valuable time and resources for other strategic initiatives.
Additionally, AI-driven chatbots and virtual assistants, powered by technologies such as Dialogflow and Firebase, are becoming increasingly essential for businesses looking to provide efficient and personalized customer service. These AI-driven platforms enable businesses to automate customer interactions, handle inquiries, and provide support around the clock, improving customer satisfaction and streamlining operational processes.
Furthermore, AI is playing a critical role in enabling businesses to harness the power of large language models (LLMs) such as OpenAI’s GPT-3. These models can understand and generate human-like text, revolutionizing aspects of customer service, product recommendation systems, and business intelligence by providing contextually relevant and accurate information.
In the realm of mobile app development, AI-powered technologies such as Flutter are empowering businesses to create highly dynamic, responsive, and intelligent mobile applications that prioritize user experience and engagement.
Finally, AI is driving the evolution of stable diffusion models, which are critical for businesses seeking to understand and forecast complex systems and phenomena, such as financial markets, supply chain dynamics, and consumer behavior. These models are empowering businesses with the ability to make data-driven decisions based on accurate predictions and insights.
In conclusion, AI has become a transformative force for businesses across multiple industries, offering a myriad of applications that are essential for driving growth, efficiency, and innovation in the modern era.
Tagged: , ars electronica , ars electronica futurelab , ali nikrang , episode 3 , inside futurelab , ai music , music composition system , artificial intelligence , creative intelligence , neural network , musenet , open ai , mahler unfinished , gpt-2 , what a ghost dreams of , ricercar , sounding letters , language model