ChatGPT Tests Into Top 1% for Original Creative Thinking

One AI-authored painting modeled on thousands of portraits painted between the 14th and 20th centuries sold for $432,500 at auction. In another case, study participants struggled to differentiate the musical phrases of Johann Sebastian Bach from those created by a computer program called Kulitta that had been trained on Bach’s compositions. Even IBM got in on the fun, tasking its Watson AI system with analyzing 9,000 recipes to devise its own cuisine ideas.

MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) is making use of all those photos of the food that we post on social media. By using computer vision, these food photos are being analyzed to better understand people’s eating habits as well as to suggest recipes with the food that is pictured. As we continue to explore the myriad applications of AI in education and homeschooling, we have the opportunity to create a more inclusive, adaptive, and engaging learning experience for students around the world. Moreover, AI-assisted conversations can provide homeschooling parents with insights into their child’s thought processes, enabling them to better support their child’s intellectual growth. By incorporating AI technology into homeschooling, parents can ensure that their children develop the critical thinking skills necessary for success in the 21st century.

It may well be able to solve a complex problem about human behavior, or create effective marketing materials. There is much to be said, however, for art’s ability to evoke emotion based on common experience, sincerity, talent, and unique skill. But what we think of as creative work in the humanities is much more often about asking questions than it is about answering them. New behavioral experiments by Alok Gupta from University of Minnesota and Andreas Fügener, Jörn Grahl, and Wolfgang Ketter from University of Cologne in Germany bring a cautionary tale for current AI applications. The research, published in late 2021, uncovers risks, consequences, and solutions to over reliance on AI in business and creative decisions. To present the novelty of their findings, let me use scenarios in the context of media and entertainment, where creativity and innovation are critical and where losing unique human knowledge could have negative consequences.

The world of AI is like a never-ending treasure hunt, with new discoveries around every corner. Scientists, artists, and thinkers are coming together, exploring new ways to enhance our lives, work, and play. World Economic Forum articles may be republished in accordance with the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Public License, and in accordance with our Terms of Use. Create a free account and access your personalized content collection with our latest publications and analyses. He is author of The Secret History of Mac Gaming and the forthcoming Shareware Heroes. Discover the world of creative AI while building your toolkit for innovative breakthroughs.

• For Colton, this element of intentionality — a focus on the process, more so than the final output — is key to achieving creativity.
• Southern believes a program like Amper Music empowers more creators to express their creativity by lowering the barrier for making music.
• AI is stepping into the world of creativity, helping us compose music, paint pictures, and even write stories.
• In conclusion, AI-assisted conversations have the potential to revolutionize homeschooling and education, fostering creative thinking and problem-solving skills in students.

Dreamscope by Google uses traditional images of people, places and things and runs them through a series of filters. Another development that blurs the boundaries of what it means to be an artist is Ai-Da, the world’s first robot artist, who recently held her first solo exhibition. She is equipped with facial recognition technology and a robotic arm system that’s powered by artificial intelligence. When Christie’s auctioned off a piece of AI artwork titled https://www.linkedin.com/feed/update/urn:li:activity:7082794651518205952?updateEntityUrn=urn%3Ali%3Afs_feedUpdate%3A%28V2%2Curn%3Ali%3Aactivity%3A7082794651518205952%29 the Portrait of Edmond de Belamy for $432,500, it became the first auction house to do so. The AI algorithm, a generative adversarial network (GAN) developed by a Paris-based collective, that created the art, was fed a data set of 15,000 portraits covering six centuries to inform its creativity. New research has revealed that ChatGPT, powered by the GPT-4 AI engine, scored in the top 1% in tests assessing creativity, outperforming most college students.

Examples are Adjusted Rand, Fowlkes-Mallows, Mutual information scores, Homogeneity, Completeness, and V measurements. Model-based cluster analysis is a new classification approach for investigating population heterogeneity utilizing a limited multivariate mixture. Students can describe, analyze, interpret, and evaluate artwork through the visual art education curriculum. Advances in neuro-science, computing and psychology, along with developments in other domains and cross-disciplinary areas have resulted in ever increasing understanding of creativity.

This module will explore some advanced approaches to creativity such as the use of analogy and metaphor, various thinking styles and the role of artificial intelligence. A framework called the creativity diamond is used to guide the selection of approach to creativity relevant to your project or activity. Even though the amount of written material to inform artificial intelligence https://www.linkedin.com/feed/update/urn:li:activity:7091150458567700480?updateEntityUrn=urn%3Ali%3Afs_feedUpdate%3A%28V2%2Curn%3Ali%3Aactivity%3A7091150458567700480%29 algorithms is voluminous, writing has been a challenging skill for AI to acquire. Although AI has been most successful in generating short-form formulaic content such as journalism “who, what, where, and when stories,” its skills continue to grow. AI has now written a novel, and although neural networks created what many might find a weird read, it was still able to do it.

Students’ academic enthusiasm and awareness must be fostered, and their ability to locate knowledge resources must be enhanced. Using pedagogical content knowledge (PCK) in visual art education as a benchmark and this study examines art teachers’ PCK proficiency in this area. Social learning theory is applied in the art education curriculum through observational learning based on the AI vs human Artificial Intelligence-based Creative Thinking Skills Analysis Model (AI-CTSAM). An analytical hierarchy process (AHP) and a grey clustering-based performance analysis model are established to enhance AI’s effectiveness in art instruction. Most of the methods to assess clustering performance exist in two types in which one is irrelevant actions requiring labels of foundation truth.

“Some of the responses were novel and surprising. That’s when we decided to put it to the test to see how creative it really is.” The AI application was in the top percentile for fluency — the ability to generate a large volume of ideas — and for originality — the ability to come up with new ideas. The AI slipped a bit — to the 97th percentile — for flexibility, the https://www.linkedin.com/feed/update/urn:li:activity:7091150458567700480?updateEntityUrn=urn%3Ali%3Afs_feedUpdate%3A%28V2%2Curn%3Ali%3Aactivity%3A7091150458567700480%29 ability to generate different types and categories of ideas. But hold on, can a machine truly understand the soul of a poem or the emotion in a painting? While AI can mimic and even innovate, there’s a debate about whether it can truly “feel” creativity. Machines don’t feel or understand our values, so there are times when human judgment must take the driver’s seat.