WELLBEING AI RESEARCH INSTITUTE
- On-demand Video Courses
WELLBEING AI RESEARCH INSTITUTE
CREATIVITY AND AI - RESOURCES
STARTUP: XMIND
Category: Creativity Supportive
Value proposition:
A full-featured mind mapping and brainstorming tool, designed to generate ideas, inspire creativity, brings efficiency both in work and life.
STARTUP: AMPER MUSIC
Category: Creativity Supportive
Amper is an AI composer, performer, and producer that creates unique music, tailored to any content, instantly.
DOES AI ENHANCE CREATIVITY?
The sophistication of artificial intelligence (AI) software is giving rise to a healthy debate about human creativity v machine creativity.
Whilst there is general agreement that AI will eventually take over many task orientated jobs, there is skepticism over whether occupations that require high creative intelligence will become automated.
But right now, we shouldn’t be worrying about whether AI will replace the jobs of creatives. Instead, we should be focusing on how the technology can enhance creative work.
SUPPORTING CREATIVITY WITH ARTIFICIAL INTELLIGENCE
Artificial intelligence is bringing profound transformation across the media and communications industry. It already forms a huge part of how content is delivered, as algorithms work to understand our behaviours and preferences. These insights are hugely valuable in understanding consumers and making communications more effective but can also pose their own challenges.
‘AUGMENTED CREATIVITY’: HOW AI CAN ACCELERATE HUMAN INVENTION
Article: ‘Augmented creativity’: How AI can accelerate human invention – Venture Beat
What we’re witnessing is the emergence of something called “augmented creativity,” in which humans use AI to help them understand the deluge of data. Early prototypes highlight the important role humans can, and should, play in making sense of the suggestions proposed by the AI.
RESEARCH PAPER: ACCELERATING INNOVATION THROUGH ANALOGY MINING
Hope, T., Chan, J., Kittur, A., & Shahaf, D. (2017, August). Accelerating innovation through analogy mining. In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 235-243).
The availability of large idea repositories (e.g., the U.S. patent database) could significantly accelerate innovation and discovery by providing people with inspiration from solutions to analogous problems. However, finding useful analogies in these large, messy, real-world repositories remains a persistent challenge for either human or automated methods. Previous approaches include costly hand-created databases that have high relational structure (e.g., predicate calculus representations) but are very sparse. Simpler machine-learning/information-retrieval similarity metrics can scale to large, natural-language datasets, but struggle to account for structural similarity, which is central to analogy. In this paper we explore the viability and value of learning simpler structural representations, specifically, “problem schemas”, which specify the purpose of a product and the mechanisms by which it achieves that purpose. Our approach combines crowdsourcing and recurrent neural networks to extract purpose and mechanism vector representations from product descriptions. We demonstrate that these learned vectors allow us to find analogies with higher precision and recall than traditional information-retrieval methods. In an ideation experiment, analogies retrieved by our models significantly increased people’s likelihood of generating creative ideas compared to analogies retrieved by traditional methods. Our results suggest a promising approach to enabling computational analogy at scale is to learn and leverage weaker structural representations.
VIDEO: CREATIVE THINKING: HOW TO INCREASE THE DOTS TO CONNECT
Creativity is our ability to look at a problem and come up with a good solution to solve it. Once we understand this, we realize that it has nothing to do with the subject matter, job or what we study.
VIDEO: CONVERGENT VS. DIVERGENT THINKING
Convergent vs. Divergent Thinking by Anne Manning from Harvard Professional Development
Anne Manning demonstrates the concepts of divergent and convergent thinking to inspire new ways to approach problem-solving with your team.
VIDEO: THE ARTIST’S WAY
The Artist’s Way In Three Minutes by Castig
Chris Castiglione breaks down The Artist’s Way by Julia Cameron in three minutes. The book was written to help people with artistic creative recovery, which teaches techniques and exercises to assist people in gaining self-confidence in harnessing their creative talents and skills.
VIDEO: WORKFORCE, TALENT, AND HR PREDICTIONS FOR 2022
BOOK: THE ARTIST IN THE MACHINE
Arthur I. Miller – The Artist in the Machine
Today’s computers are composing music that sounds “more Bach than Bach,” turning photographs into paintings in the style of Van Gogh’s Starry Night, and even writing screenplays. But are computers truly creative–or are they merely tools to be used by musicians, artists, and writers? In this book, Arthur I. Miller takes us on a tour of creativity in the age of machines.
Miller, an authority on creativity, identifies the key factors essential to the creative process, from “the need for introspection” to “the ability to discover the key problem.” He talks to people on the cutting edge of artificial intelligence, encountering computers that mimic the brain and machines that have defeated champions in chess, Jeopardy!, and Go. In the central part of the book, Miller explores the riches of computer-created art, introducing us to artists and computer scientists who have, among much else, unleashed an artificial neural network to create a nightmarish, multi-eyed dog-cat; taught AI to imagine; developed a robot that paints; created algorithms for poetry; and produced the world’s first computer-composed musical, Beyond the Fence, staged by Android Lloyd Webber and friends.
But, Miller writes, in order to be truly creative, machines will need to step into the world. He probes the nature of consciousness and speaks to researchers trying to develop emotions and consciousness in computers. Miller argues that computers can already be as creative as humans–and someday will surpass us. But this is not a dystopian account; Miller celebrates the creative possibilities of artificial intelligence in art, music, and literature.
BOOK: THE CREATIVITY CODE: HOW AI IS LEARNING TO WRITE, PAINT AND THINK
Marcus du Sautoy – The Creativity Code: How AI is learning to Write, Paint and Think
Can a well-programmed machine do anything a human can―only better? Complex algorithms are choosing our music, picking our partners, and driving our investments. They can navigate more data than a doctor or lawyer and act with greater precision. For many years we’ve taken solace in the notion that they can’t create. But now that algorithms can learn and adapt, does the future of creativity belong to machines, too?
It is hard to imagine a better guide to the bewildering world of artificial intelligence than Marcus du Sautoy, a celebrated Oxford mathematician whose work on symmetry in the ninth dimension has taken him to the vertiginous edge of mathematical understanding. In The Creativity Code he considers what machine learning means for the future of creativity. The Pollockizer can produce drip paintings in the style of Jackson Pollock, Botnik spins off fanciful (if improbable) scenes inspired by J. K. Rowling, and the music-composing algorithm Emmy managed to fool a panel of Bach experts. But do these programs just mimic, or do they have what it takes to create? Du Sautoy argues that to answer this question, we need to understand how the algorithms that drive them work―and this brings him back to his own subject of mathematics, with its puzzles, constraints, and enticing possibilities.
While most recent books on AI focus on the future of work, The Creativity Code moves us to the forefront of creative new technologies and offers a more positive and unexpected vision of our future cohabitation with machines. It challenges us to reconsider what it means to be human―and to crack the creativity code.
BOOK: THE MYTHS OF CREATIVITY
How to get past the most common myths about creativity to design truly innovative strategies We tend to think of creativity in terms reminiscent of the ancient muses: divinely-inspired, unpredictable, and bestowed upon a lucky few. But when our jobs challenge us to be creative on demand, we must develop novel, useful ideas that will keep our organizations competitive. The Myths of Creativity demystifies the processes that drive innovation. Based on the latest research into how creative individuals and firms succeed, David Burkus highlights the mistaken ideas that hold us back and shows us how anyone can embrace a practical approach, grounded in reality, to finding the best new ideas, projects, processes, and programs.
Answers questions such as: What causes us to be creative in one moment and void in the next? What makes someone more or less creative than his or her peers? Where do our flashes of creative insight come from, and how can we generate more of them? Debunks 10 common myths, including: the Eureka Myth; the Lone Creator Myth; the Incentive Myth; and The Brainstorming Myth Written by David Burkus, founder of popular leadership blog LDRLB For anyone who struggles with creativity, or who makes excuses for delaying the work of innovation, The Myths of Creativity will help you overcome your obstacles to finding new ideas.
BOOK: THE CREATIVE MIND
Margaret A. Boden – The Creative Mind: Myths and Mechanisms
When The Creative Mind: Myths and Mechanisms was first published, Margaret A. Boden’s bold and provocative exploration of creativity broke new ground. Boden uses examples such as jazz improvisation, chess, story writing, physics, and the music of Mozart, together with computing models from the field of artificial intelligence to uncover the nature of human creativity in the arts.
The second edition of The Creative Mind has been updated to include recent developments in artificial intelligence, with a new preface, introduction and conclusion by the author. It is an essential work for anyone interested in the creativity of the human mind.
BOOK: WHERE GOOD IDEAS COME FROM
Steven Johnson – Where Good Ideas Come From
A fascinating deep dive on innovation from the New York Times bestselling author of How We Got To Now and Farsighted.
The printing press, the pencil, the flush toilet, the battery–these are all great ideas. But where do they come from? What kind of environment breeds them? What sparks the flash of brilliance? How do we generate the breakthrough technologies that push forward our lives, our society, our culture? Steven Johnson’s answers are revelatory as he identifies the seven key patterns behind genuine innovation, and traces them across time and disciplines. From Darwin and Freud to the halls of Google and Apple, Johnson investigates the innovation hubs throughout modern time and pulls out the approaches and commonalities that seem to appear at moments of originality.
BOOK: BIG MAGIC
Elizabeth Gilbert – Big Magic: Creative Living Beyond Fear
Readers of all ages and walks of life have drawn inspiration and empowerment from Elizabeth Gilbert’s books for years. Gilbert offers insights into the mysterious nature of inspiration. She asks us to embrace our curiosity and let go of needless suffering. She shows us how to tackle what we most love, and how to face down what we most fear. She discusses the attitudes, approaches, and habits we need in order to live our most creative lives. Balancing between soulful spirituality and cheerful pragmatism, Gilbert encourages us to uncover the “strange jewels” that are hidden within each of us. Whether we are looking to write a book, make art, find new ways to address challenges in our work, embark on a dream long deferred, or simply infuse our everyday lives with more mindfulness and passion, Big Magic cracks open a world of wonder and joy.
